It's one of the topic of subject Principle Drug Discovery include in M pharm Pharmacology 2nd sem. It include introduction about rational and traditional drug design with types and methods. It'll be beneficial for M pharm Pharmacology students.
SlideShare on Traditional drug design methods Naveen K L
1) Traditional drug design involved methods like random screening of natural products and synthetic compounds, trail-and-error testing of plant extracts, ethnopharmacology approaches studying traditional medicines, and occasional serendipitous discoveries.
2) Key events in traditional drug discovery included the identification of microorganisms in the 17th-19th centuries and Paul Ehrlich's development of chemotherapy in the early 20th century using synthetic chemicals.
3) Methods of traditional drug design included random screening, trail-and-error testing, ethnopharmacology studies of traditional medicines, serendipitous discoveries, and classical pharmacology measuring biological responses. Many important drugs like artemisinin, digoxin,
This document discusses various methods for virtual screening (VS), which involves using computer-based techniques to rapidly assess large libraries of chemical compounds to select lead candidates. It describes ligand-based methods that use information from known active compounds, receptor-based docking methods that use the 3D structure of the target protein, and classification of VS techniques as either ligand- or receptor-based. It also discusses other docking-based VS methods such as classical docking studies, pharmacophore/docking studies, fragment docking approaches, and new docking methods.
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
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.
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.
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.
- 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 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.
SlideShare on Traditional drug design methods Naveen K L
1) Traditional drug design involved methods like random screening of natural products and synthetic compounds, trail-and-error testing of plant extracts, ethnopharmacology approaches studying traditional medicines, and occasional serendipitous discoveries.
2) Key events in traditional drug discovery included the identification of microorganisms in the 17th-19th centuries and Paul Ehrlich's development of chemotherapy in the early 20th century using synthetic chemicals.
3) Methods of traditional drug design included random screening, trail-and-error testing, ethnopharmacology studies of traditional medicines, serendipitous discoveries, and classical pharmacology measuring biological responses. Many important drugs like artemisinin, digoxin,
This document discusses various methods for virtual screening (VS), which involves using computer-based techniques to rapidly assess large libraries of chemical compounds to select lead candidates. It describes ligand-based methods that use information from known active compounds, receptor-based docking methods that use the 3D structure of the target protein, and classification of VS techniques as either ligand- or receptor-based. It also discusses other docking-based VS methods such as classical docking studies, pharmacophore/docking studies, fragment docking approaches, and new docking methods.
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
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.
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.
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.
- 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 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.
This document discusses the requirements for an investigational new drug (IND) application. An IND is required to initiate clinical trials of an unapproved drug and must contain information on animal studies, manufacturing, and clinical trial protocols. The core battery of safety pharmacology studies evaluates effects on major organ systems like the cardiovascular, central nervous, and respiratory systems. These studies are designed to identify potential adverse effects and safety risks before human clinical trials.
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
This document discusses safety pharmacology studies, with a focus on respiratory and central nervous system safety pharmacology. It defines safety pharmacology studies as investigating potential undesirable pharmacological effects of substances on physiological functions. For respiratory safety pharmacology, the core battery studies measure respiratory rate, tidal volume, and oxygen saturation. Supplementary studies measure airway resistance and lung compliance. For CNS safety pharmacology, core studies evaluate behavior, locomotor activity, motor coordination, and seizure liability. Safety pharmacology aims to identify risks and inform safe starting doses in clinical trials.
The document describes the hERG assay, which is used to test for potential drug-induced prolongation of the QT interval. It discusses the hERG gene and potassium channel, how mutations can cause long QT syndrome. It then summarizes three methods for conducting the hERG assay: electrophysiological assay using whole-cell patch clamping, Fluorometric imaging plate reader-based thallium flux assay, and radioligand binding with 35S-MK-499. Details are provided on cell preparation and protocol for each type of hERG assay.
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.
Combinatorial chemistry and high throughput screeningAnji Reddy
Combinatorial chemistry and high-throughput screening techniques allow for the rapid synthesis and testing of large libraries of compounds. Combinatorial chemistry uses solid and solution phase methods to efficiently produce thousands of compounds, while high-throughput screening employs automated instrumentation like microtiter plates to quickly assess large numbers of compounds through functional or non-functional assays. These approaches provide advantages for drug discovery by facilitating the identification of hit compounds for further optimization into drug leads.
The document summarizes recent advances in understanding and treating Alzheimer's disease. It discusses both non-modifiable and modifiable risk factors for the disease. The major signs and symptoms include progressive memory loss and cognitive decline. Alzheimer's is confirmed through neuronal plaques and tangles seen in the brain. Recent treatment strategies aim to reduce amyloid plaques through vaccines, antibodies, and inhibitors of beta- and gamma-secretase. Other approaches include tau phosphorylation inhibitors, therapies for mitochondrial dysfunction, and cholinesterase inhibitors. Animal models continue to be important for studying the human APP, ApoE, and presenilin genes involved in Alzheimer's pathology.
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.
Alternative methods to animal toxicity testingSachin Sharma
This document presents information on alternative methods to animal toxicity testing. It discusses the need for alternatives due to the harms animals face in toxicity testing. The 3Rs principles of reduction, refinement and replacement are explained, which aim to minimize animal use and suffering. The validation process for new alternative methods through organizations like ECVAM is covered. Specific alternative methods mentioned include in vitro tests like the Ames test and HET-CAM test, in silico methods, and mathematical models. The HET-CAM test for eye irritation is described in more detail.
The document discusses computational methods for predicting protein structure, specifically homology modeling and threading/fold recognition. Homology modeling constructs a target protein structure using the amino acid sequence and experimental structure of a homologous protein as a template. Threading/fold recognition predicts a protein's structural fold by fitting its sequence to structures in a database and selecting the best fitting fold, either through an energy-based method or profile-based method. Both methods are limited as homology modeling relies on a template structure and threading/fold recognition may not find a match if the correct fold does not exist in the database.
Drug design is the inventive process of finding new medications based on the knowledge of the biological target.
In the most basic sense, drug design involves design of small molecules that are complementary in shape and charge to the bio-molecular target to which they interact and therefore will bind to it.
Drug design frequently but not necessarily relies on computer modeling techniques. This type of modeling is often referred to as computer-aided drug design.
Types;-
Random screening
Trial and error method
Ethnopharmacology approach
Serendipity method
Classical pharmacology
Chemical structure based drug discovery
This document discusses methods for assessing drug effects on renal and gastrointestinal systems in safety pharmacology studies. For renal function, in vivo mammalian models using rats and dogs are commonly used to assess glomerular function through clearance tests, tubular function through urine analysis, and hemodynamic function through blood flow measurements. In vitro and in silico models are also discussed. For gastrointestinal function, methods described include assessing gastric emptying and intestinal motility using in vitro tissue/organ baths and in vivo animal models, measuring gastric secretion in cell preparations and ligated rats, modeling nausea and emesis in ferrets and dogs, and measuring absorption in Caco-2 cell cultures and perfused intestinal segments of rats.
This document discusses techniques for in silico lead discovery in drug development. It describes identifying a target and bioassay, finding a lead compound, isolating and purifying the compound, determining its structure, studying structure-activity relationships, and identifying the pharmacophore. Methods for identifying lead compounds include random screening, non-random screening, high-throughput screening, and structure-based drug design. After preclinical studies, compounds undergo clinical trials in four phases before potential release as an approved drug.
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.
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.
Computer Added Drug Design is one of the latest technology of medicine world. This short slide will help you to know a little about CADD.If you want to know a vast plz go throw the reference book.
Rational drug design is a process that begins with knowledge of a biological target through which new medications can be discovered. It involves designing small molecules that are complementary in shape and charge to bind to the target. The goal is to activate or inhibit the target's function in a way that provides a therapeutic benefit. In contrast to traditional trial-and-error testing, rational drug design starts with a hypothesis about how modulating a specific target could have therapeutic value. Computer modeling is often used to aid in drug design, and knowing the three-dimensional structure of the target enables structure-based drug design.
This document discusses the requirements for an investigational new drug (IND) application. An IND is required to initiate clinical trials of an unapproved drug and must contain information on animal studies, manufacturing, and clinical trial protocols. The core battery of safety pharmacology studies evaluates effects on major organ systems like the cardiovascular, central nervous, and respiratory systems. These studies are designed to identify potential adverse effects and safety risks before human clinical trials.
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
This document discusses safety pharmacology studies, with a focus on respiratory and central nervous system safety pharmacology. It defines safety pharmacology studies as investigating potential undesirable pharmacological effects of substances on physiological functions. For respiratory safety pharmacology, the core battery studies measure respiratory rate, tidal volume, and oxygen saturation. Supplementary studies measure airway resistance and lung compliance. For CNS safety pharmacology, core studies evaluate behavior, locomotor activity, motor coordination, and seizure liability. Safety pharmacology aims to identify risks and inform safe starting doses in clinical trials.
The document describes the hERG assay, which is used to test for potential drug-induced prolongation of the QT interval. It discusses the hERG gene and potassium channel, how mutations can cause long QT syndrome. It then summarizes three methods for conducting the hERG assay: electrophysiological assay using whole-cell patch clamping, Fluorometric imaging plate reader-based thallium flux assay, and radioligand binding with 35S-MK-499. Details are provided on cell preparation and protocol for each type of hERG assay.
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.
Combinatorial chemistry and high throughput screeningAnji Reddy
Combinatorial chemistry and high-throughput screening techniques allow for the rapid synthesis and testing of large libraries of compounds. Combinatorial chemistry uses solid and solution phase methods to efficiently produce thousands of compounds, while high-throughput screening employs automated instrumentation like microtiter plates to quickly assess large numbers of compounds through functional or non-functional assays. These approaches provide advantages for drug discovery by facilitating the identification of hit compounds for further optimization into drug leads.
The document summarizes recent advances in understanding and treating Alzheimer's disease. It discusses both non-modifiable and modifiable risk factors for the disease. The major signs and symptoms include progressive memory loss and cognitive decline. Alzheimer's is confirmed through neuronal plaques and tangles seen in the brain. Recent treatment strategies aim to reduce amyloid plaques through vaccines, antibodies, and inhibitors of beta- and gamma-secretase. Other approaches include tau phosphorylation inhibitors, therapies for mitochondrial dysfunction, and cholinesterase inhibitors. Animal models continue to be important for studying the human APP, ApoE, and presenilin genes involved in Alzheimer's pathology.
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.
Alternative methods to animal toxicity testingSachin Sharma
This document presents information on alternative methods to animal toxicity testing. It discusses the need for alternatives due to the harms animals face in toxicity testing. The 3Rs principles of reduction, refinement and replacement are explained, which aim to minimize animal use and suffering. The validation process for new alternative methods through organizations like ECVAM is covered. Specific alternative methods mentioned include in vitro tests like the Ames test and HET-CAM test, in silico methods, and mathematical models. The HET-CAM test for eye irritation is described in more detail.
The document discusses computational methods for predicting protein structure, specifically homology modeling and threading/fold recognition. Homology modeling constructs a target protein structure using the amino acid sequence and experimental structure of a homologous protein as a template. Threading/fold recognition predicts a protein's structural fold by fitting its sequence to structures in a database and selecting the best fitting fold, either through an energy-based method or profile-based method. Both methods are limited as homology modeling relies on a template structure and threading/fold recognition may not find a match if the correct fold does not exist in the database.
Drug design is the inventive process of finding new medications based on the knowledge of the biological target.
In the most basic sense, drug design involves design of small molecules that are complementary in shape and charge to the bio-molecular target to which they interact and therefore will bind to it.
Drug design frequently but not necessarily relies on computer modeling techniques. This type of modeling is often referred to as computer-aided drug design.
Types;-
Random screening
Trial and error method
Ethnopharmacology approach
Serendipity method
Classical pharmacology
Chemical structure based drug discovery
This document discusses methods for assessing drug effects on renal and gastrointestinal systems in safety pharmacology studies. For renal function, in vivo mammalian models using rats and dogs are commonly used to assess glomerular function through clearance tests, tubular function through urine analysis, and hemodynamic function through blood flow measurements. In vitro and in silico models are also discussed. For gastrointestinal function, methods described include assessing gastric emptying and intestinal motility using in vitro tissue/organ baths and in vivo animal models, measuring gastric secretion in cell preparations and ligated rats, modeling nausea and emesis in ferrets and dogs, and measuring absorption in Caco-2 cell cultures and perfused intestinal segments of rats.
This document discusses techniques for in silico lead discovery in drug development. It describes identifying a target and bioassay, finding a lead compound, isolating and purifying the compound, determining its structure, studying structure-activity relationships, and identifying the pharmacophore. Methods for identifying lead compounds include random screening, non-random screening, high-throughput screening, and structure-based drug design. After preclinical studies, compounds undergo clinical trials in four phases before potential release as an approved drug.
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.
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.
Computer Added Drug Design is one of the latest technology of medicine world. This short slide will help you to know a little about CADD.If you want to know a vast plz go throw the reference book.
Rational drug design is a process that begins with knowledge of a biological target through which new medications can be discovered. It involves designing small molecules that are complementary in shape and charge to bind to the target. The goal is to activate or inhibit the target's function in a way that provides a therapeutic benefit. In contrast to traditional trial-and-error testing, rational drug design starts with a hypothesis about how modulating a specific target could have therapeutic value. Computer modeling is often used to aid in drug design, and knowing the three-dimensional structure of the target enables structure-based drug design.
Computer aided drug design uses computational approaches to aid in the drug discovery process. There are several key approaches including ligand based approaches which identify characteristics of known active ligands, target based approaches which use information about the biological target, and structure based drug design which utilizes 3D structural information. The main steps in drug design include target identification and validation, lead identification and optimization, and preclinical and clinical trials. Computational tools are used throughout the process for tasks like molecular docking, ADMET prediction, and structure activity relationship analysis.
Rational drug design is a process that begins with knowledge of a biological target and aims to design small molecules that interact optimally with that target to produce a desired therapeutic effect. It involves analyzing the structures of active molecules and known targets, then designing new molecules that are predicted to specifically fit the target. This may involve modifying existing lead compounds or building new ones de novo. The goal is to develop drugs with greater potency, selectivity and fewer side effects than those found by traditional trial-and-error means. Cimetidine for reducing stomach acid is provided as an example of rational drug design, where histamine analogs were synthesized and optimized until an effective and safe product was obtained.
Rational drug design is a process that begins with knowledge of a biological target and aims to design small molecules that interact optimally with that target to produce a desired therapeutic effect. It involves analyzing the structures of active molecules and known targets, then designing new molecules that are predicted to specifically fit the target. This may involve modifying existing lead compounds or building new ones de novo. The goal is to develop drugs with greater potency, selectivity and fewer side effects than those found by traditional trial-and-error means. Cimetidine for reducing stomach acid is provided as an example of rational drug design, where it was optimized from an initial histamine analog lead compound.
1. Bioinformatics uses computer science and information technology to analyze biological data and assist with drug discovery. It helps identify drug targets and design drug candidates.
2. The drug design process involves identifying a disease target, studying compounds of interest, detecting molecular disease bases, rational drug design, refinement, and testing. Bioinformatics tools assist with each step.
3. CADD uses computational methods to simulate drug-receptor interactions and is heavily dependent on bioinformatics tools and databases. It supports techniques like virtual screening, sequence analysis, homology modeling, and physicochemical modeling to aid drug development.
Drug design involves finding new medications by understanding how they interact with biological targets at a molecular level. The goal is to design small organic molecules that either activate or inhibit biomolecules like proteins. Effective drug design optimizes properties like binding affinity as well as bioavailability, toxicity, and side effects. The process involves identifying lead compounds, determining their structures and effects on biological activity, and using modeling to design analogs with improved target interactions and safety profiles. Overall, drug design and development is a lengthy process taking over 10 years and costing hundreds of millions to bring a new medication to market.
This document provides an overview of rational drug design. It discusses traditional drug design approaches and how rational drug design is an improvement as it is target-based rather than random. The key aspects of rational drug design covered include identifying a disease-relevant target, determining the target's structure and function, and using this information to design drug molecules that interact with the target. The main types of rational drug design - structure-based and ligand-based approaches - are also summarized.
B. PHARM 6TH SEMESTER DRUG DESIGN. FACTORS, QSAR, DRUG DISCOVERY, DRUG DEVELOPMENT, VARIOUS APPROACHES FOR DRUG DESIGN, PARTITION COEFFICIENT, HAMMETS EQUATION, TAFTS STERIC PARAMETER, HANSCH ANALYSIS
This document discusses structure-based drug design. It begins by explaining that structure-based drug design relies on knowledge of the three-dimensional structure of biological targets, usually determined through methods like X-ray crystallography. The structure of the target is then used to design ligands that will bind to the target. The process involves identifying drug targets, determining the target's structure, performing computer-aided drug design to identify potential binding ligands, and building or modifying ligands to optimize binding to the target.
This document provides a summary of a student assignment on drug design and toxicology. It discusses several topics:
1) It outlines the drug design process and different types of drug design approaches, including ligand-based and structure-based design.
2) It discusses the importance of toxicology testing in drug development to evaluate safety. Topics covered include emerging safety biomarkers, establishing human first-dose levels, pathway analysis, and genomic biomarker usage.
3) It explores various dynamic QSAR techniques and their applications in drug design and toxicology, as well as examining ADME and toxicology relationships.
1. Unit I - new drug discovery and development.Audumbar Mali
The document summarizes the stages of drug discovery and development. It begins with drug discovery, which involves understanding disease pathways and identifying drug targets. Lead compounds are then identified and optimized. Preclinical testing assesses safety. If successful, an investigational new drug application is filed and clinical trials proceed in four phases, from initial safety testing to large efficacy trials. If approved, post-marketing monitoring continues to assess long-term safety. The process aims to bring safe and effective therapies to patients while adhering to regulatory standards.
The document discusses lead identification and optimization in drug design. It describes the general drug discovery process which includes target validation, assay development, high-throughput screening, hit to lead identification, and lead optimization stages. Lead optimization is one of the most important steps and involves modifying lead compounds to improve potency, selectivity, and pharmacokinetic parameters. Structure-based and ligand-based drug design approaches are used, along with in silico tools to predict properties like toxicity and ensure drug-likeness. Key steps in structure-based design include identifying the binding site and growing fragments in an iterative process until an optimized lead is obtained.
(Kartik Tiwari) Denovo Drug Design.pptxKartik Tiwari
Hygia Institute of Pharmaceutical Education and Research provides information on drug design. There are two main types of drug design: ligand-based which relies on existing molecules that bind to the target, and structure-based which relies on the 3D structure of the target. De-novo drug design uses the 3D structure of the receptor to design new molecules and involves optimizing ligands to fit the receptor's active site properties. LUDI software aids de-novo design through identifying interaction sites in the receptor, fitting molecular fragments, and linking fragments together to form new drug candidates.
This document discusses various approaches to computer-aided drug design (CADD), including ligand-based, target-based, de novo, and structure-based approaches. It describes the key steps and goals of CADD, which aim to accelerate drug discovery through rational drug design and testing compared to random screening. Specific methods discussed include quantitative structure-activity relationship analysis, pharmacophore modeling, molecular docking, and analyzing protein structures to inform lead optimization. The overall goal of CADD is to speed drug discovery and remove unsuccessful drug candidates earlier.
This document provides information about Anthony Crasto, a Glenmark scientist based in Navi Mumbai, India. It summarizes that he runs several free websites that provide drug and pharmaceutical information which have received millions of hits on Google. These websites help track new drugs worldwide and provide free advertising to help millions. Despite facing personal challenges with his son's health issues, Crasto's vast readership from academia and industry motivates him to continue his work through these websites.
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.
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.
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
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International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
RATIONAL AND TRADITIONAL DRUG DESIGN Drug Discovery.pptx
1. PRESENTED BY : SAKSHI NALKANDE
M PHARM PHARMACOLOGY( II SEM )
SUB: PRINCIPLE OF DRUG DISCOVERY
Smt. Kishoritai Bhoyar College of Pharmcy
Kamptee, Nagpur.
2. It is the process in which finding of new
medication based on knowledge of biological
target is done.
It involve design of small molecular that are
complementary in shape and charge to
biomolecular target.
The drug is most commonly an organic small
molecule that activate/inhibit the function of
biomolecule such as protein which in turn
result in therapeutic benefit of patient.
3. Rational drug design can broadly divided into
two categories:
A. Development of molecule with desired
properties for target having known structure and
function.
B. Development of molecule with predefined
properties for target whose structural information
may be or may not be known. The unknown
target identification can be found by global gene
expression data.
4. Method of rational drug design:
SAR analysis try to convert structure activity
observation into structure activity relationship.
We have to aim to identify which molecule
should be synthesize and identify lead
compound for either additional modification or
for pre-clinical studies.
For Example – Cimetidine
Start with validated biological target and ends
up with drug that optimally interact with target
and triggers the desired biological action.
5. Problem : Histamine triggers the release of stomach
acid. So want histamine antagonist to prevent stomach
acid = Validated Biological Target.
Step 1 - Chemical modification were made to lead
that is Lead Optimization ( N- guanyl histamine,
Burimamide)
Step 2 – More potent and orally active but thiourea
found to be more toxic in clinical trials
( Metiamide)
Step 3 – Replacement of group lead to an effective
and well tolerated product ( Cimetidine )
Step 4 – Eventully replaced by Zantac with an
improved safety product ( Ranitidine )
6. Types of Rational Drug Designing Method –
1] Ligand Based Drug Designing
a) QSAR
b) Pharmacohore Perception
2] Structure Based Drug Designing
a) Docking
b) De novo Drug Design
7. 1] Ligand Based Drug Design-
It relies on the knowledge of other molecules that
bind to the biological target of interest.
In other words, a model of the biological target
may be built based on the knowledge of what
binds to it and this model in turn may be used to
design new molecules.
a) In QSAR , biological activity is determied from the
physico-chemical properties of drug. So these QSAR
relationships in turn used in the prediction of
biological activity of new analogues.
Biological Activity= f ( physico-chemical properties)
8. b) Pharmacophore – based Drug Design-
Examine features of inactive small molecules
(ligands) and the features of active small
molecules (ligands)
Generate a hypothesis about what chemical
groups on the ligand are necessary for
biological function; what chemical groups
suppress biological function.
Generate new ligands which have the same
necessary chemical groups in the same 3D
location.
9. 2] Structure Based Drug Design-
It relies on the knowledge of 3D structure of
the biological target.
3D structure is obtained by ether X-Ray
crystallography or NMR specctroscopy.
Using the structure of receptor, candidate
drugs that are predicted to bind with high
affinity and selectivity to the target may be
designed.
10. a) Molecular Docking-
It is a computational method to predict the
interaction of two molecule generation a binding
model.
Docking is done between a small molecule and a
macromolecule .
It is the study of how two or more molecular
structures fit together.
It is an attempt to find best matching between two
molecules.
Types of docking- a) Rigid Docking
b) Flexible Docking
c) Manual Docking
11. b) De novo Drug Design-
It is the process in which 3D structure of
receptor is used to design newer molecules.
It involves structural determination of the lead
target complexes and lead modifications using
molecular modeling tools.
Information available about target receptor but
no existing leads that can interact.
Types of De novo Drug Design-
a) Atom based construction
b) Fragment based construction
12. It involves the origin of drug discovery that
evolved in natural sources, accidental events.
It was not target based and not much
systemised.
Improvement and advancement in
Pharmaceutical science and technology made it
evolutionised to much more systemised
modern DD.
13. Methods in Traditional Drug Design-
1] Random Screening
2] Trial and Error Method
3] Ethno Pharmacology approach
4] Serendipity Method
5] Classical Pharmacology
14. 1] Random Screening-
It include random screening of synthetic
compound/natural product by bioassay
procedure.
It involves two approaches-
a) Screening of selected class of compound like
alkaloid.
b) Screening of randomly selected plants.
15. 2] Trial and Error Method-
It includes berries, roots, leaves and barks that could
be used for medicinal purposes.
For eg- Cinchona barks contain quinine reduced fever
in malaria.
3] Ethno Pharmacology approach-
It is the study of medicinal plants used in specific
culture groups.
It involve the observation, description and
experimental investigation of indigenous drugs.
16. It is based on botany, chemistry, biochemistry,
pharmacology and many other diciplines like
anthropology, archeology and history.
For eg - Andrographis paniculata ( kalmegh )
used for dysentry.
4] Serendipity Method-
Refers to an accidental discovery that is finding
one thing while looking for something else.
For eg – Penicillin by Flaming in 1928 while doing
research on influenza.
17. 5] Classical Pharmacology-
Also known as function based approach.
Without prior identification of drug target.
Anciently drug discovery processes were often
based on measuring a complex response in
vivo such as-
a) Prevention of experimentally induced
seizures.
b) Lowering blood glucose level.
c) Suppression of inflammattory response.
For eg – Discovery of Foxglove in Europe.