Drug discovery and development is a long, expensive, and complex process averaging about 12 years and $500 million to bring a new prescription medication to market. Only 1 in 10,000 compounds eventually becomes an approved drug. The process involves discovery, preclinical research, clinical trials, and regulatory approval. Discovery aims to identify candidate drug molecules, while preclinical research studies their safety and efficacy in animal models before human testing. Clinical trials then evaluate new drugs with patients for safety and effectiveness over several phases before regulatory approval and marketing.
The document discusses lead identification in drug development. It defines a lead compound as one that shows desired pharmaceutical activity and could potentially be developed into a drug. The document outlines the content to be presented, including an introduction to lead identification, what a lead is, properties of leads, and methods for identifying leads. Key methods discussed are random screening, non-random screening, high-throughput screening, and structure-based drug design.
Target identification, target validation, lead identification and lead
Optimization.
• Economics of drug discovery.
• Target Discovery and validation-Role of Genomics, Proteomics and
Bioinformatics.
• Role of Nucleic acid microarrays, Protein microarrays, Antisense
technologies, siRNAs, antisense oligonucleotides, Zinc finger proteins.
• Role of transgenic animals in target validation.
- Assay development is the process of creating biological and compound screening assays to identify compounds, called "hits", that have desired activity at drug targets. This involves developing biochemical and cell-based assays.
- Key factors in assay development include relevance, reproducibility, quality as measured by Z'-factor, and avoiding interference. High throughput screening uses automation to test tens of thousands of compounds against targets daily using miniaturized assays.
- Biochemical assays use purified protein or enzyme targets, while cell-based assays examine responses at transcriptional, proliferation, or second messenger levels. Automation and robotics are important for achieving desired screening rates in high throughput screening.
The document provides an overview of the modern drug discovery process, focusing on lead identification and lead optimization. It discusses how lead compounds are initially identified through screening compound libraries or structure-based drug design. These leads are then optimized through chemical modifications to improve properties like efficacy, potency, pharmacokinetics and toxicity profile. The goal is to develop compounds suitable for preclinical and clinical testing towards becoming an approved drug. Methods for lead optimization include modifying functional groups, exploring structure-activity relationships, and altering aspects like stereochemistry.
Role of Target Identification and Target Validation in Drug Discovery ProcessPallavi Duggal
Target identification and Validation tells about the how target is neccesary for new drug discovery and its development to reach into market for rare diseases.
This document discusses high throughput screening and cell-based assays. It begins by defining high throughput screening as a process used in drug discovery to quickly assay a large number of compounds against a biological target to identify hits or leads. It then describes some key aspects of high throughput screening methodology including detection methods like spectroscopy, chromatography, and microscopy. The document outlines the advantages of cell-based assays compared to biochemical assays, noting they provide a more accurate representation using live cells. Finally, it defines the key elements of a cell-based assay as having a cellular component, a target molecule, an instrument, and informatics for data analysis.
This document provides an overview of high throughput screening (HTS). It defines HTS as a process that can quickly screen 10,000-100,000 compounds per day to identify interactions between chemicals and biological targets. The document outlines the history, definitions, instrumentation, techniques, applications and limitations of HTS. HTS is an important tool in drug discovery for identifying hit compounds from libraries that can then be optimized into lead molecules.
Traditional and Rational Drug DesigningManish Kumar
Traditional drug design involved origins from natural sources through accidental discoveries, not based on specific targets. Methods included random screening, trial and error using plant materials, ethnopharmacology observing indigenous drug uses, and serendipitous discoveries like penicillin. Rational drug design is target-based, using the known structure and function of targets. Methods include ligand-based approaches like quantitative structure-activity relationships (QSAR) and pharmacophore modeling, and structure-based approaches like molecular docking and de novo design using a target's 3D structure. Both traditional and rational methods have contributed to modern drug discovery.
The document discusses lead identification in drug development. It defines a lead compound as one that shows desired pharmaceutical activity and could potentially be developed into a drug. The document outlines the content to be presented, including an introduction to lead identification, what a lead is, properties of leads, and methods for identifying leads. Key methods discussed are random screening, non-random screening, high-throughput screening, and structure-based drug design.
Target identification, target validation, lead identification and lead
Optimization.
• Economics of drug discovery.
• Target Discovery and validation-Role of Genomics, Proteomics and
Bioinformatics.
• Role of Nucleic acid microarrays, Protein microarrays, Antisense
technologies, siRNAs, antisense oligonucleotides, Zinc finger proteins.
• Role of transgenic animals in target validation.
- Assay development is the process of creating biological and compound screening assays to identify compounds, called "hits", that have desired activity at drug targets. This involves developing biochemical and cell-based assays.
- Key factors in assay development include relevance, reproducibility, quality as measured by Z'-factor, and avoiding interference. High throughput screening uses automation to test tens of thousands of compounds against targets daily using miniaturized assays.
- Biochemical assays use purified protein or enzyme targets, while cell-based assays examine responses at transcriptional, proliferation, or second messenger levels. Automation and robotics are important for achieving desired screening rates in high throughput screening.
The document provides an overview of the modern drug discovery process, focusing on lead identification and lead optimization. It discusses how lead compounds are initially identified through screening compound libraries or structure-based drug design. These leads are then optimized through chemical modifications to improve properties like efficacy, potency, pharmacokinetics and toxicity profile. The goal is to develop compounds suitable for preclinical and clinical testing towards becoming an approved drug. Methods for lead optimization include modifying functional groups, exploring structure-activity relationships, and altering aspects like stereochemistry.
Role of Target Identification and Target Validation in Drug Discovery ProcessPallavi Duggal
Target identification and Validation tells about the how target is neccesary for new drug discovery and its development to reach into market for rare diseases.
This document discusses high throughput screening and cell-based assays. It begins by defining high throughput screening as a process used in drug discovery to quickly assay a large number of compounds against a biological target to identify hits or leads. It then describes some key aspects of high throughput screening methodology including detection methods like spectroscopy, chromatography, and microscopy. The document outlines the advantages of cell-based assays compared to biochemical assays, noting they provide a more accurate representation using live cells. Finally, it defines the key elements of a cell-based assay as having a cellular component, a target molecule, an instrument, and informatics for data analysis.
This document provides an overview of high throughput screening (HTS). It defines HTS as a process that can quickly screen 10,000-100,000 compounds per day to identify interactions between chemicals and biological targets. The document outlines the history, definitions, instrumentation, techniques, applications and limitations of HTS. HTS is an important tool in drug discovery for identifying hit compounds from libraries that can then be optimized into lead molecules.
Traditional and Rational Drug DesigningManish Kumar
Traditional drug design involved origins from natural sources through accidental discoveries, not based on specific targets. Methods included random screening, trial and error using plant materials, ethnopharmacology observing indigenous drug uses, and serendipitous discoveries like penicillin. Rational drug design is target-based, using the known structure and function of targets. Methods include ligand-based approaches like quantitative structure-activity relationships (QSAR) and pharmacophore modeling, and structure-based approaches like molecular docking and de novo design using a target's 3D structure. Both traditional and rational methods have contributed to modern drug discovery.
Target Validation
Introduction,Drug discovery, Target identification and validation, Target validation and techniques
By
Ms. B. Mary Vishali
Department of Pharmacology
OVERVIEW OF MODERN DRUG DISCOVERY PROCESSSweety gupta
The document provides an overview of the modern drug discovery process, which involves 5 main steps:
1) Target identification and validation to find the molecular structures involved in the disease.
2) Hit identification and validation to find small molecule leads that have the desired effect on the targets.
3) Moving from a hit to a lead by refining hits into more selective compounds.
4) Lead optimization to improve properties and address any deficiencies while maintaining desired effects.
5) Late lead optimization to further assess safety before clinical trials.
Modern drug discovery is an expensive process that can cost over $1 billion on average due to large investments required. Bioinformatics and genomic/proteomic technologies help accelerate the process and reduce
LEAD IDENTIFICATION BY SUHAS PATIL (S.K.)suhaspatil114
This document provides an overview of lead identification in drug discovery. It discusses various methods for identifying lead compounds, including combinatorial chemistry, high-throughput screening, and in silico lead discovery techniques. Combinatorial chemistry allows for the rapid production and screening of large compound libraries. High-throughput screening assays test large numbers of compounds against biological targets using automated technologies. In silico methods like molecular docking use computer simulations to predict how compounds may bind and interact with targets. The goal is to find initial "hit" compounds that can then be optimized into drug candidates.
SAR versus QSAR, History and development of QSAR, Types of physicochemical
parameters, experimental and theoretical approaches for the determination of
physicochemical parameters such as Partition coefficient, Hammet’s substituent
constant and Taft’s steric constant. Hansch analysis, Free Wilson analysis, 3D-QSAR
approaches like COMFA and COMSIA.
This document discusses methods of rational drug design, including pharmacophore-based and structure-based approaches. Pharmacophore-based rational drug design identifies essential features like electrostatic interactions, hydrogen bonding, and aromatic interactions that define a receptor's active site. Structure-based rational drug design uses computational methods to model how ligands bind to proteins and predict their binding affinity and pose. The key steps are identifying the receptor's structure and function, designing drug molecules that fit the receptor, and testing candidates through synthesis and studies.
Virtual screening uses computer-based methods to filter large databases of chemical compounds to identify a subset of compounds that are most likely to bind to and activate a target linked to a disease. It helps address the challenge of exploring the vast chemical space compared to the limited number of compounds that can be experimentally screened. The document discusses various virtual screening methods including ligand-based approaches like similarity searching and pharmacophore modeling as well as structure-based approaches like molecular docking that predict binding orientations. It also covers best practices for applying filters to select for drug-like and lead-like compounds.
Role of nuclicacid microarray &protein micro array for drug discovery processmohamed abusalih
role of nuclic acid microarray and protein microarray for drug discovery process
1.introduction about microarray technique and genomics
2.process of drug discovery
3.microarray techiques
4.microarray analysis in drug discovery
5.steps involved in the micro array analysis
High Throughput Screening (HTS) is a drug discovery process that uses automation to quickly assay a large number of compounds against biological or biochemical targets to identify potential drug candidates. Key aspects of HTS include testing compounds in microtiter plates with 96, 384, or 1536 wells using assays like cell-based, enzyme, or tissue response tests. HTS allows for high speed, sensitivity, and reproducibility in screening large libraries of compounds cost effectively. Detection methods used in HTS include spectroscopy, chromatography, calorimetry, and microscopy.
The basic aspects of drug discovery starts from target discovery and validation further going to lead identification and optimization. In this particular slide discussion is regarding the target discovery and the tools that have been utilized in this process.
The document discusses the economics of drug discovery. It notes that drug discovery takes 3-20 years and costs several billion to tens of billions of dollars. The process involves determining the causes of diseases and finding compounds for treatment. Drugs then undergo pre-clinical and clinical trials, with the three phases of clinical trials costing upwards of $100 million alone. A new 2020 study estimated the median cost of getting a new drug to market is $985 million, with the average being $1.3 billion. This is lower than previous estimates of $2.8 billion. The document also outlines the present costs involved in various stages of drug discovery and development.
This document summarizes various virtual screening techniques used in drug discovery. It discusses ligand-based methods like similarity searching using 2D and 3D fingerprints, pharmacophore mapping. It also discusses structure-based methods like protein-ligand docking to predict binding poses and scores. Hybrid methods combining different techniques are also used. The document provides an overview of key virtual screening methods and their applications to enrich hit rates and select compounds for further testing from large libraries in an efficient manner during the drug discovery process.
This document discusses drug discovery and the process of identifying potential new drug targets. It outlines the need for drug discovery to develop treatments for diseases without existing therapies. The key steps in drug discovery include target identification using genomics and proteomics to study the genome and map protein-protein interactions, as well as target validation using techniques like RNA interference and transgenic animal models. Bioinformatics plays an important role in analyzing large datasets to aid in drug target discovery and validation.
High throughput screening (HTS) is a process used in drug discovery to quickly test large numbers of chemical compounds and biological agents for biological activity against a disease state or condition of interest. The goal of HTS is to identify "hits" or "leads" that show desired activity at low concentrations and have a new chemical structure. Cell-based assays are an important type of HTS that uses live cells to more accurately model biological systems and provide information on bioavailability, cytotoxicity, and effects on biochemical pathways. Key elements of cell-based assays include a cellular component, a target molecule to detect cellular responses, and instrumentation to conduct and analyze the assay.
Herg assay,Structure, Various screening methods and AdvantagesUrvashi Shakarwal
The document discusses hERG assays, which are used to screen for compounds that may block the hERG potassium channel and prolong the heart's QT interval, potentially causing fatal arrhythmias. It describes the structure and function of the hERG channel, then summarizes various screening methods for hERG activity including electrophysiology, flux assays, fluorescence-based assays, and radioligand binding assays. These methods allow high-throughput screening of large numbers of compounds early in drug development to improve cardiovascular safety.
Guidelines for Preparation of Documents, Clinical Study Report Clinical Trial...Dinesh Gangoda
Contents
Guidelines for Preparation of Documentation
Clinical Study Reports
Clinical Trial Monitoring
Safety Monitoring in clinical trials
Introduction
Proper documentation is critical to the success of a clinical study.
Every aspect of the study must be documented in order to obtain useful data and demonstrate compliance with Good Clinical Practice (GCP) guidelines and with all applicable regulations.
Investigator’s Brochure (IB)
List of Abbreviations
Contents & Summary
Introduction provides the chemical name (and generic and trade names, if approved) of the investigational product.
Physical, chemical and pharmaceutical properties and formulation of the medicinal product. Non-clinical studies & Clinical Studies and their results.
The Investigator's Brochure should be reviewed at least annually and revised as necessary in compliance with a standard procedures established by drug development company.
Drug discovery and development is and always has been the most exciting part of clinical pharmacology. It is my attempt to compile the basic concepts from various books, articles and online journals. Feel free to comment.
A presentation outlining the various processes a chemical compound undergoes (thorough & rigorous screening procedures) before it is finally introduced into the drug market
Target Validation
Introduction,Drug discovery, Target identification and validation, Target validation and techniques
By
Ms. B. Mary Vishali
Department of Pharmacology
OVERVIEW OF MODERN DRUG DISCOVERY PROCESSSweety gupta
The document provides an overview of the modern drug discovery process, which involves 5 main steps:
1) Target identification and validation to find the molecular structures involved in the disease.
2) Hit identification and validation to find small molecule leads that have the desired effect on the targets.
3) Moving from a hit to a lead by refining hits into more selective compounds.
4) Lead optimization to improve properties and address any deficiencies while maintaining desired effects.
5) Late lead optimization to further assess safety before clinical trials.
Modern drug discovery is an expensive process that can cost over $1 billion on average due to large investments required. Bioinformatics and genomic/proteomic technologies help accelerate the process and reduce
LEAD IDENTIFICATION BY SUHAS PATIL (S.K.)suhaspatil114
This document provides an overview of lead identification in drug discovery. It discusses various methods for identifying lead compounds, including combinatorial chemistry, high-throughput screening, and in silico lead discovery techniques. Combinatorial chemistry allows for the rapid production and screening of large compound libraries. High-throughput screening assays test large numbers of compounds against biological targets using automated technologies. In silico methods like molecular docking use computer simulations to predict how compounds may bind and interact with targets. The goal is to find initial "hit" compounds that can then be optimized into drug candidates.
SAR versus QSAR, History and development of QSAR, Types of physicochemical
parameters, experimental and theoretical approaches for the determination of
physicochemical parameters such as Partition coefficient, Hammet’s substituent
constant and Taft’s steric constant. Hansch analysis, Free Wilson analysis, 3D-QSAR
approaches like COMFA and COMSIA.
This document discusses methods of rational drug design, including pharmacophore-based and structure-based approaches. Pharmacophore-based rational drug design identifies essential features like electrostatic interactions, hydrogen bonding, and aromatic interactions that define a receptor's active site. Structure-based rational drug design uses computational methods to model how ligands bind to proteins and predict their binding affinity and pose. The key steps are identifying the receptor's structure and function, designing drug molecules that fit the receptor, and testing candidates through synthesis and studies.
Virtual screening uses computer-based methods to filter large databases of chemical compounds to identify a subset of compounds that are most likely to bind to and activate a target linked to a disease. It helps address the challenge of exploring the vast chemical space compared to the limited number of compounds that can be experimentally screened. The document discusses various virtual screening methods including ligand-based approaches like similarity searching and pharmacophore modeling as well as structure-based approaches like molecular docking that predict binding orientations. It also covers best practices for applying filters to select for drug-like and lead-like compounds.
Role of nuclicacid microarray &protein micro array for drug discovery processmohamed abusalih
role of nuclic acid microarray and protein microarray for drug discovery process
1.introduction about microarray technique and genomics
2.process of drug discovery
3.microarray techiques
4.microarray analysis in drug discovery
5.steps involved in the micro array analysis
High Throughput Screening (HTS) is a drug discovery process that uses automation to quickly assay a large number of compounds against biological or biochemical targets to identify potential drug candidates. Key aspects of HTS include testing compounds in microtiter plates with 96, 384, or 1536 wells using assays like cell-based, enzyme, or tissue response tests. HTS allows for high speed, sensitivity, and reproducibility in screening large libraries of compounds cost effectively. Detection methods used in HTS include spectroscopy, chromatography, calorimetry, and microscopy.
The basic aspects of drug discovery starts from target discovery and validation further going to lead identification and optimization. In this particular slide discussion is regarding the target discovery and the tools that have been utilized in this process.
The document discusses the economics of drug discovery. It notes that drug discovery takes 3-20 years and costs several billion to tens of billions of dollars. The process involves determining the causes of diseases and finding compounds for treatment. Drugs then undergo pre-clinical and clinical trials, with the three phases of clinical trials costing upwards of $100 million alone. A new 2020 study estimated the median cost of getting a new drug to market is $985 million, with the average being $1.3 billion. This is lower than previous estimates of $2.8 billion. The document also outlines the present costs involved in various stages of drug discovery and development.
This document summarizes various virtual screening techniques used in drug discovery. It discusses ligand-based methods like similarity searching using 2D and 3D fingerprints, pharmacophore mapping. It also discusses structure-based methods like protein-ligand docking to predict binding poses and scores. Hybrid methods combining different techniques are also used. The document provides an overview of key virtual screening methods and their applications to enrich hit rates and select compounds for further testing from large libraries in an efficient manner during the drug discovery process.
This document discusses drug discovery and the process of identifying potential new drug targets. It outlines the need for drug discovery to develop treatments for diseases without existing therapies. The key steps in drug discovery include target identification using genomics and proteomics to study the genome and map protein-protein interactions, as well as target validation using techniques like RNA interference and transgenic animal models. Bioinformatics plays an important role in analyzing large datasets to aid in drug target discovery and validation.
High throughput screening (HTS) is a process used in drug discovery to quickly test large numbers of chemical compounds and biological agents for biological activity against a disease state or condition of interest. The goal of HTS is to identify "hits" or "leads" that show desired activity at low concentrations and have a new chemical structure. Cell-based assays are an important type of HTS that uses live cells to more accurately model biological systems and provide information on bioavailability, cytotoxicity, and effects on biochemical pathways. Key elements of cell-based assays include a cellular component, a target molecule to detect cellular responses, and instrumentation to conduct and analyze the assay.
Herg assay,Structure, Various screening methods and AdvantagesUrvashi Shakarwal
The document discusses hERG assays, which are used to screen for compounds that may block the hERG potassium channel and prolong the heart's QT interval, potentially causing fatal arrhythmias. It describes the structure and function of the hERG channel, then summarizes various screening methods for hERG activity including electrophysiology, flux assays, fluorescence-based assays, and radioligand binding assays. These methods allow high-throughput screening of large numbers of compounds early in drug development to improve cardiovascular safety.
Guidelines for Preparation of Documents, Clinical Study Report Clinical Trial...Dinesh Gangoda
Contents
Guidelines for Preparation of Documentation
Clinical Study Reports
Clinical Trial Monitoring
Safety Monitoring in clinical trials
Introduction
Proper documentation is critical to the success of a clinical study.
Every aspect of the study must be documented in order to obtain useful data and demonstrate compliance with Good Clinical Practice (GCP) guidelines and with all applicable regulations.
Investigator’s Brochure (IB)
List of Abbreviations
Contents & Summary
Introduction provides the chemical name (and generic and trade names, if approved) of the investigational product.
Physical, chemical and pharmaceutical properties and formulation of the medicinal product. Non-clinical studies & Clinical Studies and their results.
The Investigator's Brochure should be reviewed at least annually and revised as necessary in compliance with a standard procedures established by drug development company.
Drug discovery and development is and always has been the most exciting part of clinical pharmacology. It is my attempt to compile the basic concepts from various books, articles and online journals. Feel free to comment.
A presentation outlining the various processes a chemical compound undergoes (thorough & rigorous screening procedures) before it is finally introduced into the drug market
The document discusses the key stages in the drug discovery and development process including target selection, compound screening and hit optimization, selecting a drug candidate through further optimization of properties like absorption and metabolism, safety testing in animals and humans, proof of concept clinical trials in patients, large phase 3 clinical trials for registration and approval, and finally launch and life cycle management. It notes that the entire process from discovery to approval can take 12-16 years and cost over $1 billion.
The document discusses drug design, development, and delivery. It covers rational drug design using molecular properties and receptor modeling. Computer-assisted drug design uses molecular docking and QSAR methods. Neural networks are also used in drug design. Drug discovery involves identifying candidates and screening for efficacy. Drug development evaluates ADME, toxicity, and safety through preclinical and clinical studies. Drug delivery methods aim to effectively administer pharmaceutical compounds and improve drug release profiles.
The document discusses the process of drug discovery, including target selection, lead discovery, medicinal chemistry, in vitro and in vivo studies, and clinical trials. Target selection involves identifying cellular or genetic targets involved in disease through techniques like genomics, proteomics, and bioinformatics. Lead discovery focuses on identifying small molecule modulators of protein function through methods like synthesis, combinatorial chemistry, assay development, and high-throughput screening. Medicinal chemistry then works to optimize these leads. [/SUMMARY]
Innovation decision making new product development collaboration medicinal dr...SlideTeam.net
The drug discovery process diagram shows a process with the following steps:
1) Identifying a problem and challenging colleagues to suggest creative solutions.
2) Combining and evaluating the suggested ideas.
3) Implementing the most promising ideas by developing them further or recycling ideas that are not promising.
Development drug discovery process 7 power point slides and ppt diagram templ...SlideTeam.net
The drug discovery process involves 5 main steps:
1. Discovery and screening of 10,000-20,000 candidate drugs through high-throughput screening and target validation to identify potential lead compounds.
2. Lead optimization using techniques like combinatorial chemistry and structure-based drug design to improve the properties of the lead compounds.
3. ADMET studies to evaluate the absorption, distribution, metabolism, excretion, and toxicity of the leads.
4. Clinical trials to test the safety and efficacy of potential drug candidates on humans.
5. New drug application to regulatory agencies like the FDA for market approval if clinical trials are successful, resulting in one new drug reaching the market.
Hybridization involves the crossing of genetically distinct individuals to produce offspring. There are three main types: natural hybridization through sexual reproduction, wide hybridization between different but related species or genera, and somatic hybridization which involves fusing protoplast cells. Hybridization has been an effective method for crop improvement programs by increasing genetic variability. Pollination, the transfer of pollen from the male anther to the female stigma, is important for sexual reproduction and evolution by producing variable offspring and preventing inbreeding. Flowering plants have evolved mechanisms like separate male and female parts and attracting pollinators to ensure outcrossing. Fertilization begins when the pollen tube grows from the stigma and delivers the sperm to fertilize
This document outlines the clinical trial life cycle process, including pre-clinical studies, protocol and investigator brochure development, IND submission, study start-up activities like site selection and regulatory approval, study conduct such as monitoring and data collection, study close-out including data analysis and reporting, NDA submission and approval, and potential post-marketing research.
The drug development process involves lengthy preclinical and clinical testing that can take over 12 years and cost $350 million. It begins with drug discovery followed by preclinical studies to test the drug's toxicity, pharmacokinetics, and efficacy in animals. If successful, an IND application is submitted to the FDA to begin human clinical trials. Clinical trials involve 4 phases to test the drug's safety and efficacy in humans. If phase 3 is successful, an NDA is submitted for FDA review and potential approval to market the new drug. Post-approval monitoring continues to ensure safety.
This document provides an overview of careers in drug discovery and development. It discusses the multi-stage process of discovering new drugs, from identifying drug targets through clinical trials and regulatory approval. The document notes that drug development is a highly time-intensive and costly process involving many disciplines. It also aims to dispel common myths about careers in the pharmaceutical industry, emphasizing that industry scientists have opportunities for publication, innovation, and interesting work.
Scynexis Fully Integrated Drug Discovery & Development 2011 Overviewbrycechaney
SCYNEXIS provides fully integrated drug discovery and development solutions including medicinal chemistry, lead optimization, ADMET-PK testing, and cGMP manufacturing. They have over 140 employees across two campuses with experience from major pharmaceutical companies. SCYNEXIS has delivered 11 pre-clinical drug candidates over the last 5 years and developed a chemical manufacturing process for an NDA.
Pre-discovery
Understand the disease
Target Identification
Choose a molecule to target with a drug
Target Validation
Test the target and confirm its role in the disease
Drug Discovery
Find a promising molecule (a “lead compound”)
that could become a drug
USUGM 2014 - Gerald Wyckoff (Chemalytics): Development of the Chemalytics Pl...ChemAxon
Structure-based virtual screening is an important tool in the drug discovery process. The use of computational tools has allowed for the screening of large libraries of chemical compounds to identify putative ligand-receptor interactions. The identification of valid targets and therapeutic compounds has long-term importance both to public health and the economic strength of the pharmaceutical industry. Receptor-based virtual screening (VS) is a technique in which computational tools are used dock small molecular weight compounds into a protein receptor or enzyme. This technique is most often used in drug discovery, where a large library of chemical structure can be docked and scored to assess the potential if a compound to bind to a drug target. However, high-throughput virtual screening is computationally intensive, and the cost of building, maintaining, and managing a dedicated computing cluster limits access to these technologies to large universities and commercial enterprises. Internet-based, or “cloud” computing, is a business service model in which computational resources are accessed affordably, scalably, and securely as needed. Our product utilizes this cloud infrastructure to deliver virtual screening to clients who either don’t desire to or cannot maintain their own infrastructure. Our elegant and highly efficient system for managing the job queue and maximizing the efficient use of computational resources allows us to provide reduced-cost access to our tools for academic and government researchers. This confluence of residual processing power and need has given rise to our concept of the “bucket list”; a “free” job queue that unassigned agents can perform during the time between finishing a paid job and their “death” at the end of their provisioned hour. We are working with Chemaxon to expand the capabilities of the current system through the following technical achievements: (1) integration of additional chemical libraries and library filtering tools to focus search space prior to docking; (2) enhancement of end user ability to evaluate results through integration of data analysis and visualization tools; (3) integration of additional licensed, proprietary, and public domain tools for additional functionality. This work is funded by NIH’s National Institute of General Medical Science through SBIR Phase II grant GM097902
Innovation decision making new product development preclinical fda formulatio...SlideTeam.net
The drug discovery process involves preclinical and clinical studies. In preclinical studies, a research team is formed and objectives are set. Novel chemicals are synthesized and tested for efficacy and safety in test tubes and animals. Results are used to choose a drug candidate. In clinical studies, the drug progresses through Phase I-III trials in healthy volunteers and patients to test safety and efficacy. If successful, the company files a New Drug Application with the FDA for approval to market the drug.
Drug discovery and Development by vinay guptaDr Vinay Gupta
The document discusses various aspects of drug discovery and development, including:
1) The drug development process involves pre-clinical and clinical trials that are regulated by agencies like DCGI in India and FDA in the US.
2) Pre-clinical trials involve pharmacological, toxicological, and pharmacokinetic testing in animals to establish safety before human trials.
3) Clinical trials have 4 phases - Phase I evaluates safety in healthy volunteers, Phase II explores efficacy in patients, Phase III confirms efficacy and monitors side effects in large patient groups, and Phase IV involves post-marketing surveillance.
The document provides an overview of the drug development pathway and requirements for clinical trials and regulatory approval.
Somatic ybridization and its applicationPawan Nagar
This document discusses somatic hybridization, which involves fusing plant protoplasts from two different species or varieties to create a hybrid plant. It describes the process of somatic hybridization, including isolating protoplasts, fusing them using spontaneous or induced methods, selecting hybrid cells, and regenerating plants from hybrid callus tissue. The advantages are producing novel hybrids and transferring genes between incompatible species. The limitations include low regeneration rates and viability of fused cells. Somatic hybridization has applications in crop improvement by introducing traits like disease resistance from wild relatives.
1) Anther and pollen culture techniques involve culturing microspores excised from anthers or pollen grains to produce haploid plants. This allows for the efficient production of fully homozygous lines.
2) Factors like genotype, culture medium, and pretreatments influence anther culture success. Haploids must be doubled to be fertile and useful.
3) Somatic hybridization fuses protoplasts from different plant species using techniques like PEG or electrofusion. This can combine traits not otherwise possible. Selection and regeneration are required to produce hybrid plants.
The document summarizes the process of drug discovery and development. It involves several long steps: understanding the disease, finding a biological target, discovering a lead compound through screening or nature, conducting preclinical testing on animals, and then clinical trials in three phases with humans to test safety and efficacy before the FDA decides whether to approve the drug. The entire process from discovery to approval takes an average of 10-15 years and costs $1-2 billion. Drugs also have different categories depending on how they are regulated and prescribed.
The document provides an overview of the drug discovery process. It discusses the various stages involved including target selection, lead discovery, medicinal chemistry, in vitro studies, in vivo studies, and clinical trials.
Target selection involves identifying biological targets implicated in disease through methods like genomics, proteomics, and bioinformatics. Lead discovery focuses on identifying small molecule modulators through synthesis, combinatorial chemistry, assay development, and high-throughput screening. Medicinal chemistry optimizes leads through approaches such as library development, SAR studies, in silico screening, and chemical synthesis. In vitro and in vivo studies evaluate drug candidates prior to clinical trials in humans.
Clinical trials play an important role in drug discovery and development. They involve several phases to test drug safety and effectiveness in humans starting with healthy volunteers and progressing to larger studies. Positive results from clinical trials provide evidence for regulatory approval and allow drugs to help patients if their benefits outweigh the risks. The goal is to develop new treatments and demonstrate they are safe and effective for their intended uses.
The document discusses the complex and unpredictable nature of the FDA drug approval process. While the steps of drug development may seem formulaic, including discovery, preclinical testing, and clinical trials, success is not guaranteed as programs face many risks and intangible factors. Understanding these challenges is important for mitigating risks and strategizing development approaches. The FDA approval process aims to ensure new drugs are safe and effective for patients.
Pharmacology is the study of drugs and their interaction with living systems. The drug discovery process involves identifying biological targets, screening compounds against those targets, and optimizing lead candidates for further development. This includes preclinical research on animals to test toxicity, pharmacodynamics, and pharmacokinetics. Successful candidates then progress to clinical trials in human subjects in four phases before the drug can be approved, manufactured, and marketed. The entire process from discovery to approval takes an average of 10-12 years and over $500 million.
The document discusses various topics related to drug discovery including target identification and validation, high-throughput screening, hit and lead identification, computational approaches like docking and de novo design, and clinical trial phases. It provides definitions for key terms like target, screening, hit, and lead. It also discusses sources for screening libraries and describes factors to consider for an optimal drug target.
The document discusses various topics related to drug discovery through bioinformatics and computational approaches. It begins by discussing comparative genomics and using knowledge about model organisms to identify similar biological areas and pathways in other species. It also discusses topics like high-throughput screening of large libraries, the definitions of targets, hits and leads in drug discovery, and approaches like using RNAi and phenotypic screening in model organisms. Finally, it discusses computational methods that can be used throughout the drug discovery process, including for target identification and validation, virtual screening, assessing drug-likeness of compounds, and describing compounds using structural and physicochemical descriptors.
Drug Discovery subject (clinical research)Jannat985397
The document discusses various topics related to drug discovery including methods of target validation, combinatorial chemistry, quantitative structure-activity relationship analysis, and computer-aided drug design. It describes the multi-step process of drug discovery from identifying potential drug targets to optimizing lead compounds and outlines the steps of pre-clinical and clinical drug testing required for regulatory approval. Key aspects covered include high-throughput screening techniques used to identify hits from compound libraries as well as tools for drug design like solid phase synthesis and parallel synthesis.
Overview of computer aided drug designing.
Clinical and Pre-clinical trials.
Prediction of properties and Drug-likeness.
Advanced treatments of protein-ligand binding.
Summary
ACRI is a leading clinical research training Institute in Bangalore India.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
ACRI is a leading clinical research training institute in Bangalore.
ACRI creates a value add for every degree. Our PGDCRCDM course is approved by the Mysore University. Graduates and Post Graduates and even PhDs have trained with us and got enviable positions in the Clinical Research Industry. ACRI supplements University training with Industry based training, coupled with hands-on internships and projects based on real case studies. The ACRI brand gives the individual the confidence and expertise to join the ever-growing workforce both in the country and abroad.
The document discusses the process and costs associated with drug development. It notes that the average cost to develop a new drug is $350 million to $5.5 billion and the process takes 6.5-7 years from discovery to approval. Key barriers to drug development include high financial costs, lengthy timelines for clinical trials, and regulatory hurdles. Approaches to reduce costs and timelines include greater use of electronic health records, simplifying clinical trial protocols, and utilizing decentralized clinical trial models.
High-throughput screening is a process used in drug discovery to rapidly test large numbers of chemical compounds and substances against a biological target. It allows researchers to quickly screen millions of potential candidate compounds. The goal is to identify initial "hits" or active compounds that can then be further optimized into potential drug "leads". Key aspects of high-throughput screening include using miniaturized assay plates with many wells, robotics for liquid handling, sensitive detectors to read assay results, and data processing software to analyze large datasets from multiple tests. This allows researchers to potentially screen over 100,000 compounds per day in their search for new medicines.
Clinical trials are scientific studies that test new drugs in human subjects. This document discusses the multi-phase clinical trial process, from pre-clinical animal studies through post-approval monitoring. It notes that trials progress from small Phase I safety studies in healthy volunteers to large Phase III efficacy trials in patients. The goal is to demonstrate a drug's benefits outweigh its risks before regulatory approval and marketing.
This document discusses clinical trials and the drug development process. It begins with an overview of the stages of clinical trials from Phase 0 to Phase IV. It then covers topics like trial design, endpoints, biases, sample sizes, regulatory authorities, and cost-effectiveness. The failures and successes of translating pre-clinical findings to human studies are analyzed. Repurposing existing drugs and the challenges academic researchers face are also addressed.
Introduction to the drug discovery processThanh Truong
This document discusses the drug discovery process from target identification through FDA approval. It describes methods used for target identification such as genomics, bioinformatics, and proteomics. The stages of lead identification through high-throughput screening and structure-based drug design are outlined. Key aspects of lead optimization like characterizing potency, efficacy, pharmacokinetics, and toxicity are summarized. Details are provided on preclinical and clinical trial phases from Phase 0 through Phase IV post-marketing surveillance. Factors contributing to the declining drug approval rate like increased safety demands are noted. The high costs and failure rates associated with drug development are highlighted.
Modern drug discovery process|| M pharm Pharmacology.pptxRohit chaurpagar
Modern drug discovery is a complex, multidisciplinary process that involves several stages and utilizes advanced technologies. The goal is to develop new therapeutic agents that can safely and effectively treat diseases. Here’s an overview of the key stages in the modern drug discovery process
The slide provides a basic understanding about Clinical Research process and the various Phases of Drug Discovery and Development. It also explains about the various trial designs and techniques in research such as blinding and randomization. It may be useful for giving a basic class for Fourth Year B.Pharm Students.
1) The process of bringing a new medicine from initial discovery to patient use (molecule to medicine) is a long, complex, and expensive process involving target identification, preclinical testing, clinical trials, and regulatory review and approval.
2) Preclinical testing involves evaluating a molecule's pharmacokinetics, pharmacodynamics, safety, and toxicity in cell and animal studies. Positive preclinical results allow filing an Investigational New Drug (IND) application to begin human clinical trials.
3) Clinical trials are conducted in four phases to evaluate a drug's safety, efficacy, side effects, and optimal dosing in humans. The entire development process from discovery to approval takes 8-12 years and costs over $1
High-throughput screening is a process used in drug discovery to rapidly test large numbers of chemical compounds and substances against a biological target. It allows researchers to quickly screen libraries of tens to hundreds of thousands of potential compounds. The goal is to identify initial 'hits' that show activity against the target. Potential hits are then further tested and refined to identify lead compounds that could progress to drug development. High-throughput screening utilizes microplate technologies, robotics, and automated detection methods to efficiently process many samples in parallel. This process has helped identify numerous potential drug candidates by rapidly evaluating huge numbers of substances for activity.
Drug discovery clinical evaluation of new drugsKedar Bandekar
The document discusses the process of new drug development from initial idea to market launch. It takes 12-15 years and over $1 billion. The process involves identifying a biological target, screening compounds to find hits, optimizing hits to develop leads, and conducting preclinical and clinical trials. Key steps include target identification and validation, high-throughput screening to find initial hits, hit-to-lead and lead optimization processes to improve properties, and three phases of clinical trials to test safety and efficacy in humans. Characteristics of ideal lead compounds include high target affinity and selectivity, drug-like properties, and favorable absorption and toxicity profiles.
Merck is a top global pharmaceutical company with $40 billion in annual revenue. It has 68,000 employees in over 100 countries. Merck focuses its corporate social responsibility efforts in key areas like access to health, workplace practices, environmental sustainability, and ethics. The company implements programs to improve access to healthcare, promotes diversity and safety in the workplace, reduces its environmental impact, and ensures ethical business conduct. Merck engages in transparency around its CSR performance through frameworks like the GRI.
The document discusses pharmaceutical marketing practices in India and the development of a Uniform Code of Pharmaceutical Marketing Practices (UCPMP). It notes that while the UCPMP aims to standardize ethical practices, some remain skeptical of its effectiveness without strict enforcement. Concerns have been raised about the influence of pharmaceutical company promotions on doctor prescribing habits. The UCPMP framework outlines principles for ethical product promotion, prohibiting gifts to influence prescribing, and requiring transparency around expenditures.
Tata Sky is a joint venture between Tata Group, Star India, and Temasek Holdings. It launched in 2004 as India's second DTH provider. Tata Sky initially focused on large urban markets and positioned itself as providing better quality than analog cable. It offers various channel packages and interactive services tailored to different demographic, geographic, and behavioral segments. Some of its targeting strategies include celebrity endorsements, referral programs, and innovative pricing schemes like daily recharges to attract new customers.
This document outlines the standard operating procedure and calibration for an FTIR spectrometer. It describes the responsibilities and procedures for general cleaning, operation, sample preparation for solids, liquids, and oil dispersions, scanning, and calibration. Calibration is performed every 3 months using a polystyrene film to check wave number accuracy and resolution performance. Any issues identified during calibration must be reported.
The document discusses various methods for analyzing carbohydrates, including qualitative and quantitative tests. It begins by classifying carbohydrates based on carbon atom count, terminal functional groups, number of sugar subunits, and other characteristics. Several common qualitative carbohydrate tests are then described in detail, including the Molisch test, Benedict's test, Barfoed's test, and others. The tests allow identification of carbohydrates by reaction color or formation of characteristic precipitates. The document also mentions quantitative carbohydrate analysis using liquid chromatography-mass spectrometry and biochemical testing specifically for glucose.
This document provides an overview of queuing theory. It discusses queuing theory as the mathematics of waiting lines and how it is useful for predicting and evaluating system performance. It then describes some common applications of queuing theory in areas like telecommunications, transportation, manufacturing, and health services. The key elements of a queuing system are defined, including customers, servers, arrival processes, queues, and service processes. Different queuing system models and characteristics are outlined.
Indravadan Modi, known as the "medicine man of India", founded Cadila Pharmaceuticals in 1951 in Ahmedabad, India. He pursued a degree in pharmaceuticals and fine chemicals. His son, Dr. Rajiv Indravadan Modi, is now the Managing Director and Chairman of Cadila Pharmaceuticals. Dr. Modi has advanced degrees from prestigious universities. Cadila Pharmaceuticals was founded with only Rs. 25,000 and now operates in 85 countries. Indravadan Modi faced challenges when the company split but was able to rebuild it with his son into a major pharmaceutical company.
pharma Rural sales and marketing strategiesRohit K.
This document discusses rural healthcare in India and various initiatives taken to improve access to healthcare in rural areas. It notes that around 70% of India's population lives in rural areas but only 30% have access to quality medicines. Several challenges in rural healthcare are highlighted, such as lack of adequate doctors and medical infrastructure. The document then describes initiatives by various organizations like Piramal Swasthya, SEWA, Prayas and Novo Nordisk to improve rural healthcare through approaches like training local healthcare providers, providing medicines and referrals, diabetes management programs, and collaborating with local governments.
In vitro antidiabetic activity like
Inhibition of Polysaccharide-Degrading Enzymes
Assay for α-Amylase
Assay for α-Glucosidase
Everted Sac Technique for Assaying α-Glucosidase
Assays forGLUT2TransportActivity
Perfusion of Jejunal Loops
Transport Activity of Brush Border Membrane Vesicles
Apical Expression of GLUT2
Evaluation of Glucose Absorption InVivo
The document summarizes various qualitative tests that can be used to identify carbohydrates, including monosaccharides, disaccharides, and polysaccharides. It describes tests such as the Molisch test, Benedict's test, Barfoed's test, Seliwanoff's test, a hydrolysis test for sucrose, the osazone test, Bial's test, and an iodine reaction test. For each test, it provides the principle, procedure, expected results, and how to interpret the results in order to determine what type of carbohydrate may be present in the sample being tested.
practical hplc method development by snyder Rohit K.
This document discusses the development of a new type of lightweight material called aerographite. It is described as being only a few atoms thick and 200 times stronger than steel, making it potentially useful for applications that require strength and flexibility. However, large-scale production has not been achieved yet and more research is still needed to understand the material's properties and potential applications fully.
High Performance Liquid Chromatography: Fundamental Principles and Practice b...Rohit K.
The document discusses the history and importance of chocolate in human civilization. It notes that chocolate originated in Mesoamerica over 3000 years ago and was prized by the Aztecs and Mayans for its taste. Cocoa beans were used as currency and their cultivation was tightly regulated. The document stresses that chocolate became widely popular in Europe only after it was introduced from the Americas in the 16th century.
Chromatographic Analysis of Pharmaceuticals Second Edition by John A. AdamovicsRohit K.
This document is the preface to the second edition of the book "Chromatographic Analysis of Pharmaceuticals". It provides an overview of the changes and updates made for this new edition.
The first edition was published in 1990, and in the years since, the author has uncovered new examples and applications to include. The overall organization of chapters has been maintained, but some have been consolidated for better structure. Two new chapters on capillary electrophoresis and supercritical fluid chromatography have been added. All chapters have been updated with new information on protein pharmaceuticals.
This preface describes the motivation and goals for this new edition, which is to provide relevant information to chemists and biochemists working in pharmaceutical and bi
Designing Product for the Customer,House of quality matrix and design for man...Rohit K.
The document discusses design for manufacturing and assembly (DFMA) techniques. It defines design for manufacturing (DFM) as optimizing the manufacturing process to minimize part production costs. Design for assembly (DFA) is defined as optimizing the assembly process to minimize assembly costs. The key differences and similarities between DFM and DFA are explained. Some principles of DFMA include reducing the number of parts, using common features and axes, and utilizing standards. The overall goal of DFMA is to design products that can be easily and cost-effectively manufactured and assembled.
1. Quality Function Deployment (QFD) uses a matrix format called the House of Quality to capture customer requirements and translate them into engineering targets for new product design.
2. The House of Quality contains six major components: customer requirements, technical requirements, a planning matrix, an interrelationship matrix, a technical correlation matrix, and technical priorities/benchmarks and targets.
3. It helps companies determine customer needs, specify them as engineering requirements, identify how well requirements are met compared to competitors, establish connections between customer and technical requirements, and set targets for technical requirements.
Design for Manufacturing and Assembly (DFMA) is a methodology used to minimize product cost through design and process improvements. DFMA integrates product design and process planning to design products that are easily and economically manufactured. The goal of DFMA is to reduce material, overhead, and labor costs, shorten product development times, and utilize standardization to reduce costs. Key principles of DFMA include reducing the total number of parts, developing modular designs, using standard components, designing parts for multi-functionality and multi-use, and minimizing assembly directions.
Clinical data capture involves collecting clinically significant data from subjects in clinical trials. This can be done via paper-based methods like case report forms or via electronic data capture (EDC) methods. EDC involves collecting data electronically and has advantages over paper methods like real-time reporting and faster data processing. Common EDC tools include using the internet, interactive voice response, personal digital assistants, and electronic case report forms (eCRFs). eCRFs allow direct entry of data into an electronic form without paper sources, eliminating errors from transcription.
The document discusses key concepts in clinical trial designs, including types of trials, phases of trials, and protocol requirements according to ICH-GCP guidelines. It describes the various types of clinical trial designs such as treatment, prevention, diagnostic, and screening trials. It also outlines the different phases of clinical trials from phase I to phase IV and summarizes the key elements that must be included in a clinical trial protocol according to ICH-GCP, such as the trial design, randomization, blinding, treatment regimens and stopping rules.
This document outlines the standard procedures for clinical trial project management, including standardizing processes, maintaining flexibility, marketing to sponsors, setting up feasibility assessments, developing budgets and contracts, working with regulatory bodies for approval, conducting site initiations, ongoing study coordination, and closing out projects. Key aspects are using templates and checklists, determining feasibility at multiple stages, negotiating budgets, navigating regulatory requirements, and coordinating clinical setup and study conduct. The goal is to save time and reduce risks through standardized yet adaptable processes.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxwalterHu5
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Kat...rightmanforbloodline
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
TEST BANK For Basic and Clinical Pharmacology, 14th Edition by Bertram G. Katzung, Verified Chapters 1 - 66, Complete Newest Version.
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
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share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
2. New Drug Development is...New Drug Development is...
Expensive 500 Million US $
Cumbersome 1 out of 10,000 NCE
becomes a marketable drug
Time consuming 12 years
3. Drug-Discovery, DevelopmentDrug-Discovery, Development
P h a s e I I P h a s e I I IP h a s e I
D is c o v e r y
R e s e a r c h
C lin ic a l
D e v e lo p m e n t
A p p r o v a l
P h a s e
P r e c lin ic a l
R e s e a r c h
F ile
I N D
F ile
N D A
$ 8 0 2 M
2 y e a r s
4 . 7 0 %
o f R & D
B u d g e t
1 . 5 y e a r s
7 . 4 1 %
o f R & D
B u d g e t
5 y e a r s
4 2 . 3 5 %
o f R & D B u d g e t
3 3 . 3 7 %
o f R & D B u d g e t
3 . 5 y e a r s
Production
&
Marketing
• IND - Investigational New Drug Application
• NDA - New Drug Application
• IND - Investigational New Drug Application
• NDA - New Drug Application
4. Drug-Discovery, Development & Approval ProcessDrug-Discovery, Development & Approval Process
It takes 12-15 years on an average for an experimental drug to travel from the lab to the patients.
Only 5 in 5000 compounds that enter the pre-clinical testing stage, make it to the human-testing stage.
One of these 5 tested on people is approved.
Discovery/
Pre-Clinical
Testing
Phase I Phase II Phase III FDA Phase IV
Years 5 - 6.5 File
IND
at
FDA
1.5 2 2.5 File
NDA
at
FDA
1.5- 2
Test
Population
Laboratory &
Animal Studies
20 to 100
healthy
volunteers
100 to 500
patient
volunteers
1000 to 5000
patient
volunteers
Review
&
Proposal
Process
Additional
Post-
Marketing
testing
required
by FDA
Purpose Assess safety,
biological
activity &
formulation
Determine
safety &
dosage
Evaluate
effectiveness,
look for side-
effects
Confirm
effectiveness
monitor
adverse
effects from
long-time use
Success
Rate
5000
compounds
evaluated
5 Enter Trials 1
Approve
d
5. Drug DevelopmentDrug Development
5,000–10,000
Screened
250
Enter Preclinical
Testing
5
Enter
Clinical
Testing
1
Approved
by the
FDA
Net Cost: $802 million
invested over 15 years
Discovery
(2-10 Years)
Preclinical Testing
Laboratory and
Animal Testing
Years
Phase I
20-80 Healthy Volunteers
Used to Determine Safety
And Dosage
Phase III
1,000-5,000 Patient
Volunteers Used to
Monitor Adverse Reactions
to Long-term Use
Phase II
100-300 Patient Volunteers
Used to Look for Efficacy
and Side Effects
FDA Review/Approval
Additional
Post-marketing
Testing
Compound Success Rates by Stage
Source: Tufts Center for the Study of Drug Development
16
14
12
10
8
6
4
2
0
8. Target ValidationTarget Validation
• Target validation requires a demonstration that a molecular
target is critically involved in a disease process, and that
modulation of the target is likely to have a therapeutic effect.
10. Assay DevelopmentAssay Development
• The key to drug discovery is an assay that fulfills several
important criteria:
– Relevance: Does the readout unequivocally relate to the target?
– Reliability/Robustness: Are results reproducible and statistically
significant?
– Practicality: Do time, reagents, and effort correlate with quality
and quantity of results?
– Feasibility: Can assay be run with resources at hand?
– Automation: In order to screen large numbers of compounds,
can assay be automated and run in highly parallel format?
– Cost: Does cost of the assay permit scale-up for high-throughput
screening?
• The quality of an assay determines the quality of data, i.e.,
compromising on assay development can have substantial
downstream consequences.
12. Screening & Hits to LeadsScreening & Hits to Leads
• After successful development of an assay, screening of
compound libraries follows.
• Primary screens will identify hits. Subsequently, confirmation
screens and counter screens will identify leads out of the pool
of hits. This process is commonly referred to as "hits-to leads.“
• The success of screening depends on the availability of
compounds, as well as their quality and diversity.
• Efforts to synthesize, collect, and characterize compounds are
an essential and costly part of drug discovery.
13. • There are several sources for compounds:
– Natural products (NPs) from microbes, plants, or
animals. NPs are usually tested as crude extracts first,
followed by isolation and identification of active compounds.
– (Random) collections of synthesized compounds.
– Focused libraries around certain pharmacophores.
–
• Given this near- infinite number of theoretical compounds, one
can either focus the search around known molecules or
pharmacophores with biological activity, or sample the
chemical compound universe with a random selection of diverse
representatives.
Screening & Hits to LeadsScreening & Hits to Leads
(Compound Libraries)(Compound Libraries)
14. Screening & Hits to LeadsScreening & Hits to Leads
( CADD & SBDD)( CADD & SBDD)
• Advances in computing power and in structure determination
by x-ray crystallography and NMR have made computer-aided
drug design (CADD) and structure-based drug design (SBDD)
essential tools for drug discovery.
• CADD exploits state-of-the-art technologies to speed up the
drug development process
15.
16. Screening & Hits to LeadsScreening & Hits to Leads
(Synthesis & Combinatorial Chemistry)(Synthesis & Combinatorial Chemistry)
• Screening relies on the availability and chemical synthesis of
compounds.
• By rule of thumb, one chemist synthesizes, purifies, and
characterizes about 100 novel compounds per year, fewer if the
task is complex. It takes approximately 10,000 different
compounds to develop a drug that will make it to market.
17. Screening & Hits to LeadsScreening & Hits to Leads
(Primary Screen)(Primary Screen)
• A primary screen is designed to rapidly identify hits from
compound libraries.
• The goals are to minimize the number of false positives and to
maximize the number of confirmed hits.
18. Screening & Hits to LeadsScreening & Hits to Leads
(Primary Screen)(Primary Screen)
• Typically, primary screens are initially run in multiplets (i.e.,
two, three, or more assay data points) of single compound
concentrations.
• Hits are then retested a second time (or more often, depending
on the assays’ robustness).
• The retest is usually run independently of the first assay, on a
different day.
• If a compound exhibits the same activity within a statistically
significant range, it is termed a confirmed hit, which can
proceed to dose-response screening.
19. Screening & Hits to LeadsScreening & Hits to Leads
(Potency & Dose Response)(Potency & Dose Response)
• Most hits have potencies between 1 and 100 uM, somewhat
dependent on the dynamic range and cutoff of assays.
• Hits with potencies in the nanomolar (nM) range are rare.
20. Screening & Hits to LeadsScreening & Hits to Leads
(Potency & Dose Response)(Potency & Dose Response)
• Establishing a dose-response relationship is an important step
in hit verification.
• It typically involves a so-called secondary screen. In the
secondary screen, a range of compound concentrations usually
prepared by serial dilution is tested in an assay to assess the
concentration or dose dependence of the assay’s readout.
• The shape of a dose-response curve, where drug concentration
is recorded on the x-axis and drug effect on the y-axis, often
provides information about the mechanism of action (MOA).
21. Screening & Hits to LeadsScreening & Hits to Leads
(Counter screens & Selectivity)(Counter screens & Selectivity)
• Confirmed hits proceed to a series of counter screens.
• These assays usually include drug targets of the same protein
or receptor family, for example, panels of GPCRs or kinases.
In cases where selectivity between subtypes is important,
counter screens might include a panel of homologous
enzymes, different protein complexes, or heterooligomers.
Counter screens profile the action of a confirmed hit on a
defined spectrum of biological target classes.
• Selectivity toward a drug target decreases the risk of so-called
off-target side effects.
• Selectivity and potency are often coupled, i.e., selectivity
increases with better potency.
22. Screening & Hits to LeadsScreening & Hits to Leads
(Counter screens & Selectivity)(Counter screens & Selectivity)
• Counter screens are also used to confirm the mechanism of
action.
23. Screening & Hits to LeadsScreening & Hits to Leads
(Mechanism of Action)(Mechanism of Action)
• One of the goals throughout the discovery of novel drugs is to
establish and confirm the mechanism of action.
• In an ideal scenario, the MOA remains consistent from the
level of molecular interaction of a drug molecule at the target
site through the physiological response in a disease model, and
ultimately in the patient.
24. • As an example, let us assume the drug target is a protein kinase.
A confirmed hit inhibits the invitro catalytic activity of the
kinase in the primary screen, where a surrogate or known
physiological substrate is phosphorylated. In the next step,
whole cells are exposed to the same inhibitor, the cells are
lysed, and the physiological or native substrate is isolated and
its phosphorylation state determined.
• Next, in a disease model dependent on a pathway regulated by
the target kinase, one assesses the effect of the inhibitor on the
pathway and the phenotype.
• If the drug action in all three steps is consistent, an MOA is
established.
Screening & Hits to LeadsScreening & Hits to Leads
(Mechanism of Action)(Mechanism of Action)
25. LeadLead OptimizationOptimization
• Lead optimization is the complex, non-linear process of
refining the chemical structure of a confirmed hit to
improve its drug characteristics with the goal of producing
a preclinical drug candidate.
• The lead optimization process continues for as long as it takes
to achieve a defined drug profile & testing of the new drug in
humans.
26. Lead OptimizationLead Optimization
(Animal PK/PD/ADME)(Animal PK/PD/ADME)
• Animal pharmacokinetics (PK), pharmacodynamics (PD), and
absorption, distribution, metabolism, and excretion (ADME)
assess the general pharmacology and mechanisms of action of
drugs.
• Lead molecules are administered via different routes:
intravenous (iv), intraperitoneal (ip), subcutaneous (sc),
intramuscular (im), rectal, intranasal (IN), inhalational, oral
(po), transdermal, topical, etc.
• The main models used including mouse and rat, but larger
animals such as dogs, pigs, and, more rarely, monkeys, are
also used under certain circumstances.
• The main objective is to understand the effects on the whole
organism of exposure to a novel chemical entity, and to predict
the new drug’s behavior in humans.
27. Lead OptimizationLead Optimization
(Animal PK/PD/ADME)(Animal PK/PD/ADME)
• PK/PD/ADME studies are an integral part of lead
optimization.
• They feed back into the medicinal chemistry effort aiming to
optimize the physicochemical properties of new leads in terms
of minimal toxicity and side effects, as well as of maximum
efficacy toward disease.
• PK/PD/ADME studies are expensive
• Some PK/PD studies require specific formulations, pro-drugs,
or radioisotope labeling of lead molecules, all of which tend to
draw heavily on medicinal chemistry resources.
28. Lead OptimizationLead Optimization
(Animal PK/PD/ADME)(Animal PK/PD/ADME)
• PK/PD/ADME studies rely heavily on analytical methods
and instrumentation.
• The recent innovation and progress in mass spectroscopy,
(whole-body) imaging, and chromatography technology
(HPLC, LC-MS, LC-MS-MS) have tremendously increased
the quantity and quality of data generated in PK/PD
experiments.
• A large number of parameters is assessed : (ADME);
bioavailability (F) and protein binding; stability and half-life
(t1/2); maximum serum concentration (Cmax); total exposure
or area under the curve (AUC); clearance (Cl); volume of
distribution (Vd); drug drug interactions; onset of drug action;
multicompartmental analysis of blood, liver, and other tissues.
29. Lead OptimizationLead Optimization
(Toxicity)(Toxicity)
• The definition of toxicity is the degree to which a substance or
mixture of substances can harm humans or animals.
• Acute toxicity involves harmful effects in an organism through
a single or short-term exposure.
• Chronic toxicity is the ability of a substance or mixture of
substances to cause harmful effects over an extended period,
usually upon repeated or continuous exposure that can last for
the entire life of the exposed organism.
• These days, the screening process includes a series of standard
assays early on: P450 inhibition (using either recombinant
cytochrome P450 enzymes or liver microsome).
• Toxicity in these relatively simple in- vitro assays flags hits or
leads and goes into the risk-benefit evaluation of which lead
series can advance into preclinical studies.
30. • Animal models are used for escalating dose studies aimed at
determining a maximum tolerated dose (MTD).
• This step involves monitoring a series of parameters, such as
body weight, food intake, blood chemistry (BUN), and liver
activity.
• Biopsies are usually stored in freezers for subsequent
pathological analysis.
• Animal toxicity studies require relatively large amounts of
compound.
• The purity of the compound needs to be very high in order to
exclude toxicities stemming from impurities.
• The norm for short-term animal toxicity is one- or two-week
studies.
• Long-term testing in animals ranges in duration from several
weeks to several years. Some animal testing continues after
human tests have begun in order to learn whether long-term use
of a drug may cause cancer or birth defects.
Lead OptimizationLead Optimization
(Toxicity)(Toxicity)
31. • The formulation and delivery of drugs is an integral part of the
drug discovery and development process.
• Indeed, formulation problems and solutions influence the
design of the lead molecules; they feed back into the iterative
lead optimization cycle, as well as the preclinical and clinical
evaluations.
• In turn, formulation and delivery are closely linked. For
example, intravenous delivery of a novel drug might call for a
different formulation than oral delivery, because parameters
such as metabolic stability or solubility can differ significantly.
Lead OptimizationLead Optimization
(Formulation and Delivery)(Formulation and Delivery)
32. • Formulation substances might exhibit different biological
activity than the actual drug. For example, certain
formulations enhance absorption through their interaction with
the cell membrane of the gastrointestinal tract.
• Formulation and delivery are highly specialized fields of
research, and formulation scientists are now part of serious
drug discovery and development programs from the early
stages.
Lead OptimizationLead Optimization
(Formulation and Delivery)(Formulation and Delivery)
33. Development
• Preclinical Data
• Process development
• IND application
• Clinical trials
– Phase 1
– Phase 2
– Phase 3
• NDA
• Phase 4