The drug discovery process involves several steps:
1) Identifying a therapeutic target through understanding disease mechanisms.
2) Discovering lead compounds that show activity against the target through high-throughput screening.
3) Optimizing lead compounds to improve properties like efficacy, safety, and pharmacokinetics using techniques like molecular modeling and combinatorial chemistry.
4) Conducting preclinical and clinical testing in multiple phases to determine safety and efficacy in humans.
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSNIPER MOHALI
Drug design is a very complex process it takes many more times but using the these specific tools we can reduce complex process and save the time and produce a effective new drug that will be helpful in heath environment.
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSNIPER MOHALI
Drug design is a very complex process it takes many more times but using the these specific tools we can reduce complex process and save the time and produce a effective new drug that will be helpful in heath environment.
molecular docking its types and de novo drug design and application and softw...GAUTAM KHUNE
This ppt deals with all the aspects related to molecular docking ,its types(rigid ,flexible and manual) and screening based on it and also deals with de novo drug design , various softwares available for docking methodologies and applications for molecular docking in new drug design
igand-based drug design (or indirect drug design) relies on knowledge of other molecules that bind to the biological target of interest. These other molecules may be used to derive a pharmacophore model that defines the minimum necessary structural characteristics a molecule must possess in order to bind to the targeT.
INTRODUCTION
A PERFECT THERAPEUTIC DRUG
DRUG DISCOVERY- HISTORY
MODERN DRUG DISCOVERY
BIOINFORATICS IN DRUG DISCOVERY
DRUG DISCOVERY BASED ON BIOINFORMATIC TOOLS
BIOINFORMATICS IN COMPUTER-AIDED DRUG DISCOVERY
ECONOMICS OF DRUG DISCOVERY
CONCLUSION
REFERENCES
The Role of Bioinformatics in The Drug Discovery ProcessAdebowale Qazeem
The Role of Bioinformatics in The Drug Discovery Process, is an undergraduate seminar presentation in the department of Biochemistry, Faculty of life Sciences, University of Ilorin, Ilorin.
The techniques of drug designing and in silico studies are well defines in this presentation. Mooreover, the various softwares which are used in new era for determining the drug targets inside the body are elaborated.
molecular docking its types and de novo drug design and application and softw...GAUTAM KHUNE
This ppt deals with all the aspects related to molecular docking ,its types(rigid ,flexible and manual) and screening based on it and also deals with de novo drug design , various softwares available for docking methodologies and applications for molecular docking in new drug design
igand-based drug design (or indirect drug design) relies on knowledge of other molecules that bind to the biological target of interest. These other molecules may be used to derive a pharmacophore model that defines the minimum necessary structural characteristics a molecule must possess in order to bind to the targeT.
INTRODUCTION
A PERFECT THERAPEUTIC DRUG
DRUG DISCOVERY- HISTORY
MODERN DRUG DISCOVERY
BIOINFORATICS IN DRUG DISCOVERY
DRUG DISCOVERY BASED ON BIOINFORMATIC TOOLS
BIOINFORMATICS IN COMPUTER-AIDED DRUG DISCOVERY
ECONOMICS OF DRUG DISCOVERY
CONCLUSION
REFERENCES
The Role of Bioinformatics in The Drug Discovery ProcessAdebowale Qazeem
The Role of Bioinformatics in The Drug Discovery Process, is an undergraduate seminar presentation in the department of Biochemistry, Faculty of life Sciences, University of Ilorin, Ilorin.
The techniques of drug designing and in silico studies are well defines in this presentation. Mooreover, the various softwares which are used in new era for determining the drug targets inside the body are elaborated.
A presentation outlining the various processes a chemical compound undergoes (thorough & rigorous screening procedures) before it is finally introduced into the drug market
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.
A review on stages of drug development and alternative methods for animal stu...Frinto Francis
Various Stages of drug development, anaesthesia ,euthanasia, animals used for preclinical analysis, clinical trials, alternative methods for animal testing, blood withdrawal methods, ethical guidelines
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2. Drug Candidate
safety testing
Animal Studies
- relevant species
- transgenic KO/KI mice
- conditional KOs
- agonists/antagonists
- antibodies
- antisense
- RNAi
Studies of
Disease Mechanisms
Human Studies
Phases I,II, III
Target
-receptor; -ion channel; -transporter;
-enzyme; - signalling molecule
Lead Search
-Develop assays (use of automation)
-Chemical diversity
-Highly iterative processMolecular Studies
The Drug Discovery Process
Lead optimization
-selectivity
-efficacy in animal models
-tolerability: AEs mechanism-
based or structure-based?
-pharmacokinetics
-highly iterative process
Drug Approval
and Registration
Target selection &
validation
Discovery Development
3. Target Selection & Validation
• Define the unmet medical need (disease)
• Understand the molecular mechanism of the
disease
• Identify a therapeutic target in that pathway
(e.g gene, key enzyme, receptor, ion-channel,
nuclear receptor)
• Demonstrate that target is relevant to disease
mechanism using genetics, animal models,
lead compounds, antibodies, RNAi, etc.
4. Discovery
• Develop an assay to evaluate activity of compounds on the target
- in vitro (e.g. enzyme assay)
- in vivo (animal model or pharmacodynamic assay)
• Identify a lead compound
– screen collection of compounds (“compound library”)
– compound from published literature
– screen Natural Products
– structure-based design (“rational drug design”)
• Optimize to give a “proof-of-concept” molecule—one that shows
efficacy in an animal disease model
• Optimize to give drug-like properties—pharmacokinetics,
metabolism, off-target activities
• Safety assessment, Preclinical Candidate!!!
5. Development
Pharmaceutical R&D
Formulation
Clinical Investigator
& patient
Clinical Pharmacology
Clinical Research
Statistics & Epidemiology
Data Coordination
Research Information Systems
Information Services
Regulatory Affairs
Project Planning & Management
Marketing
Process R&D
Chem Eng. R&D
Manufacturing
Bio Process R&D
Safety Assessment
Toxicology
Drug Metabolism
(ADME)
Pharmacology
Pre-Clinical
Clinical
6. Clinical
Trials
Product Profile Marketing SOIProduct Profile Marketing SOI
Information Learned
1. Absorption and metabolism
2. Effects on organs and tissue
3. Side effects as dosage is increased
Information Learned
1. Effectiveness in treating disease
2. Short-term side effects in health -impaired patients
3. Dose range
Information Learned
1. Benefit/risk relationship of drug
2. Less common and longer term side effects
3. Labeling information
Compassionate Use
Phase II
Several hundred health-impaired patients
Treatment Group Control Group
Phase III
Hundreds or thousands of health-
impaired patients
Investigational
New Drug
application
IND
Phase I
20 - 100 healthy volunteers take
drug for about one month
Remote data entry
8. Drug Discovery—Convergence of Disciplines
Patent
Law
Combinatorial
Chemistry
Synthetic
Chemistry
Physical
Chemistry
Physiology
Biochemistr
y
DMP
K
Enzymology
Immunolog
y
Pharmacology
Information
Technology
Modelling
Physiolog
y
Safety
Assessment
Metabolism
Pharmacology
Pathology
Behavior
Novel
Molecule
Intellectual Property
Structural
Activity
Pharmacokinetic
Properties
In Vivo activity
Safety
Design
Pharmaco
-
dynamics
Physiology
Physiology
Physiology
9. Important Points in Drug Design based
on Bioinformatics Tools
History of Drug/Vaccine development
– Plants or Natural Product
• Plant and Natural products were source for medical substance
• Example: foxglove used to treat congestive heart failure
• Foxglove contain digitalis and cardiotonic glycoside
• Identification of active component
– Accidental Observations
• Penicillin is one good example
• Alexander Fleming observed the effect of mold
• Mold(Penicillium) produce substance penicillin
• Discovery of penicillin lead to large scale screening
• Soil micoorganism were grown and tested
• Streptomycin, neomycin, gentamicin, tetracyclines etc.
http://www.geocities.com/bioinformaticsweb/drugdiscovery.html
10. Important Points in Drug Design based
on Bioinformatics Tools
• Chemical Modification of Known Drugs
– Drug improvement by chemical modification
– Pencillin G -> Methicillin; morphine->nalorphine
• Receptor Based drug design
– Receptor is the target (usually a protein)
– Drug molecule binds to cause biological effects
– It is also called lock and key system
– Structure determination of receptor is important
• Ligand-based drug design
– Search a lead ocompound or active ligand
– Structure of ligand guide the drug design process
11. Important Points in Drug Design based
on Bioinformatics Tools
• Identify Target Disease
– Identify and study the lead compounds
– Marginally useful and may have severe side effects
• Refinement of the chemical structures
– Detect the Molecular Bases for Disease
– Detection of drug binding site
– Tailor drug to bind at that site
– Protein modeling techniques
– Traditional Method (brute force testing)
18. Important Points in Drug Design based
on Bioinformatics Tools
• Application of Genome
– 3 billion bases pair
– 30,000 unique genes
– Any gene may be a potential drug target
– ~500 unique target
– Their may be 10 to 100 variants at each target gene
– 1.4 million SNP
– 10200
potential small molecules
19. Important Points in Drug Design based
on Bioinformatics Tools
• Detect the Molecular Bases for Disease
– Detection of drug binding site
– Tailor drug to bind at that site
– Protein modeling techniques
– Traditional Method (brute force testing)
• Rational drug design techniques
– Screen likely compounds built
– Modeling large number of compounds (automated)
– Application of Artificial intelligence
– Limitation of known structures
20. Important Points in Drug Design based
on Bioinformatics Tools
• Refinement of compounds
– Refine lead compounds using laboratory techniques
– Greater drug activity and fewer side effects
– Compute change required to design better drug
• Quantitative Structure Activity Relationships (QSAR)
– Compute functional group in compound
– QSAR compute every possible number
– Enormous curve fitting to identify drug activity
– chemical modifications for synthesis and testing.
• Solubility of Molecule
• Drug Testing
21. Drug Discovery & Development
Identify disease
Isolate protein
involved in
disease (2-5 years)
Find a drug effective
against disease protein
(2-5 years)
Preclinical testing
(1-3 years)
Formulation
Human clinical trials
(2-10 years)
Scale-up
FDA approval
(2-3 years)
FileIND
File
N
DA
22. Techology is impacting this process
Identify disease
Isolate protein
Find drug
Preclinical testing
GENOMICS, PROTEOMICS & BIOPHARM.
HIGH THROUGHPUT SCREENING
MOLECULAR MODELING
VIRTUAL SCREENING
COMBINATORIAL CHEMISTRY
IN VITRO & IN SILICO ADME MODELS
Potentially producing many more targets
and “personalized” targets
Screening up to 100,000 compounds a
day for activity against a target protein
Using a computer to
predict activity
Rapidly producing vast numbers
of compounds
Computer graphics & models help improve activity
Tissue and computer models begin to replace animal testing
23. 1. Gene Chips
• “Gene chips” allow us
to look for changes in
protein expression for
different people with a
variety of conditions,
and to see if the
presence of drugs
changes that expression
• Makes possible the
design of drugs to
target different
phenotypes
compounds administered
people / conditions
e.g. obese, cancer,
caucasian
expression profile
(screen for 35,000 genes)
24. 2. High-Throughput Screening
Screening perhaps millions of compounds in a corporate
collection to see if any show activity against a certain disease
protein
25. 2.High-Throughput Screening
• Drug companies now have millions of samples of
chemical compounds
• High-throughput screening can test 100,000
compounds a day for activity against a protein target
• Maybe tens of thousands of these compounds will
show some activity for the protein
• The chemist needs to intelligently select the 2 - 3
classes of compounds that show the most promise for
being drugs to follow-up
26. 3. Computational Models of Activity
• Machine Learning Methods
– E.g. Neural nets, Bayesian nets, SVMs, Kahonen nets
– Train with compounds of known activity
– Predict activity of “unknown” compounds
• Scoring methods
– Profile compounds based on properties related to target
• Fast Docking
– Rapidly “dock” 3D representations of molecules into 3D
representations of proteins, and score according to how well
they bind
27. 4. Combinatorial Chemistry
• By combining molecular “building blocks”, we
can create very large numbers of different
molecules very quickly.
• Usually involves a “scaffold” molecule, and sets
of compounds which can be reacted with the
scaffold to place different structures on
“attachment points”.
28. 4. Combinatorial Chemistry
Issues
• Which R-groups to choose
• Which libraries to make
– “Fill out” existing compound collection?
– Targeted to a particular protein?
– As many compounds as possible?
• Computational profiling of libraries can help
– “Virtual libraries” can be assessed on computer
29. 5. Molecular Modeling
• 3D Visualization of interactions between compounds and proteins
• “Docking” compounds into proteins computationally
30. 5.3D Visualization
• X-ray crystallography and NMR Spectroscopy can
reveal 3D structure of protein and bound
compounds
• Visualization of these “complexes” of proteins and
potential drugs can help scientists understand the
mechanism of action of the drug and to improve
the design of a drug
• Visualization uses computational “ball and stick”
model of atoms and bonds, as well as surfaces
• Stereoscopic visualization available
32. 6. In Vitro & In Silico ADME
models
• Traditionally, animals were used for pre-human testing.
However, animal tests are expensive, time consuming and
ethically undesirable
• ADME (Absorbtion, Distribution, Metabolism, Excretion)
techniques help model how the drug will likely act in the
body
• These methods can be experemental (in vitro) using
cellular tissue, or in silico, using computational models
33. Size of databases
• Millions of entries in databases
– CAS : 23 million
– GeneBank : 5 million
• Total number of drugs worldwide: 60,000
• Fewer than 500 characterized molecular
targets
• Potential targets : 5,000-10,000
Editor's Notes
Here is what we are trying to achieve (refer to slide).
Note that you can comment on:
We conduct basic animal health research in RY, but our animal health care products are marketed by Merial, a joint venture between Merck and Rhone- Poulenc (note that RP is now known as Aventis (RP merged with Hoechst).
Outcomes research is when we attempt to prove that our compounds not only cause important chemical effects in the body (such as reduced blood pressure or reduced cholesterol), but that these effects lead to reduced morbidity and mortality over time. The Zocor 4S study is an example.
The research budget for MRL is $2.4 billion this year.
Here is what we are trying to achieve (refer to slide).
Note that you can comment on:
We conduct basic animal health research in RY, but our animal health care products are marketed by Merial, a joint venture between Merck and Rhone- Poulenc (note that RP is now known as Aventis (RP merged with Hoechst).
Outcomes research is when we attempt to prove that our compounds not only cause important chemical effects in the body (such as reduced blood pressure or reduced cholesterol), but that these effects lead to reduced morbidity and mortality over time. The Zocor 4S study is an example.
The research budget for MRL is $2.4 billion this year.
Tropsha compares these. Let’s look at some of the comparisons he makes. Mutual similarity techniques.