drug design lecture 1
TRANSCRIPT
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Modern Methods of Drug Discovery
Lecture 1: An Introduction
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The Top 10 Pharmaceutical Companies
19.4Bristol-Myers Squibb
19.7Abbott Labs
20.4Aventis-Sanofi
21.4AstraZeneca
22.9Merck
24.5Hoffman LaRoche
28.2Novartis
39.0GlaxoSmithKline
45.2Pfizer
47.4Johnson & Johnson
2004 sales figures(billions)
15.3Bristol-Myers Squibb
16.6Hoffman LaRoche
20.3Novartis
24.0AstraZeneca
34.0Aventis-Sanofi
22.3Johnson & Johnson
19.7Abbott Labs
21.9Merck
34.0GlaxoSmithKline
44.2Pfizer
2005 sales figures(billions)
14.8Eli Lilly
26.6Hoffman LaRoche
28.9Novartis
25.7AstraZeneca
35.6Aventis-Sanofi
23.3Johnson & Johnson
15.7Wyeth
22.6Merck
37.0GlaxoSmithKline
45.1Pfizer
2006 sales figures(billions)
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Research based pharmaceutical companies, on average, spend
about 20% of their sales on research and development (R&D).
This percentage is significantly higher than in most other
industries, including electronics, aerospace, automobiles, and
computers.
Since 1980 US pharmaceutical companies have practically doubled
spending on R&D every 5 yrs.
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Despite these enormous expenditures, there has been a steady
decline in the number of drugs introduced each year into human
therapy.
70-100 in the 60s
60-70 in the 70s~50 in the 80s
~40 in the 90s
Innovation Deficit - coined in 1996 by Jurgen Drews, president
of research at Hoffmann-LaRoche.
- the gap between the number of new chemicalentities (NCEs) required to be launched in
order to accomplish an annual 10% revenue
increase and the actual number of NCEsintroduced in the market by the top 10
pharmaceutical companies.
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Reasons for the innovation deficit:
a) increased demand on safety for drugs.
- the average number of clinical trials per new drug application
(NDA) increased from 30 in the 70s to 40 in the 80s, to 70 in the
90s.- the increased demand on safety is also reflected in a prolonged
duration of the drug development process.
In the 60s, total development time was 8.1 yrs
In the 70s, total development time was 11.8 yrs
In the 80s, total development time was 14.2 yrs
In the 90s, total development time was 14.9 yrsCurrently, total development time is ~16 yrs
b) low hanging fruit have been picked.
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A new drug today costs ~$880 million and takes ~15-16 yrs to
develop.
Allocation of R&D funds
Allocation of R&D time
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About 75% of this cost ($660 million) is attributable to failure
during development.
90% of all drug development candidates fail to make it to market.
Methods that enhance the drug discovery process and reduce
failure rates are highly desirable!
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This course (Modern Methods of Drug Discovery) will focus on
some of the key methods used in the first 4 steps.
The Drug Discovery Process
Target
Validation
Drug
Target
Identification
Lead
Compound
Identification
Lead
Optimization
Preclinical and
Clinical
Development
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1) Drug Target Identification
The identification of new, clinically relevant, molecular targets
is of utmost importance to the discovery of innovative drugs.
It has been estimated that up to 10 genes contribute to
multifactoral diseases.
Science 287:1960-1964 (2000)
Typically these disease genes are linked to another 5 to 10
gene products in physiological circuits which are also suitable
for pharmaceutical intervention.
If these numbers are multiplied with the number of diseases
that pose a major medical problem in the industrial world,
then there are ~5000 to 10000 potential drug targets.
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Current therapy is based upon less than 500 molecular targets
45% of which are G-protein coupled receptors
28% are enzymes11% are hormones and factors
5% ion channels
2% nuclear receptors
Therefore, many more drug targets exist! How to identify them?
Besides classical methods of cellular and molecular biology, newtechniques of target identification are becoming increasingly
important. These include:
a) genomics (Biotechniques 31: 626-630 2001)
b) bioinformatics (Drug Discovery Today 7:315-323 2002)
c) proteomics (J. Pharmacol. Toxicol. Methods 44:291-300
2000; Biopolymers 60:206-211 2001)
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a) genomics
term was coined in the mid 80s.
evolved from 2 independent advances:
1) Automation resulting in a significant increase in the
number of experiments that could be constructed
in a given time. (eg. DNA sequencing)
$22.5 MillionUS $300,000 each
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2) Informatics- the ability to transform raw data into meaningful
information by applying computerized techniques for managing,
analyzing, and interpreting data.
the identification of new biological targets has benefited from the
genomics approach:
eg. The sequencing of the human genome
Nature 409:860-921 2001;
Science 291:1304-1351 2001 blueprint of all proteins
bioinformatics methods are used to transform the raw
sequence into meaningful information (eg. genes and theirencoded proteins) and to compare whole genomes (disease vs.
not).
Drug Discovery Today 5:135-143 2000
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Sequencing of microbial genomes will enable the identification of
novel drug targets, especially when comparing to the human genome
(eg MEP pathway).
b) Bioinformatics the in silico identification of novel drug targets
is now feasible by systematically searching for paralogs (related
proteins within an organism) of known drug targets (eg. may be
able to modify an existing drug to bind to the paralog).
Can compare the entire genome of pathogenic and non-
pathogenic strains of a microbe and identify genes/proteinsassociated with pathogenism.
Current Opin. Microbiol 1:572-579 1998
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Using gene expression microarrays and gene chip technologies,
a single device can be used to evaluate and compare the expression
of up to 20000 genes of healthy and diseased individuals at once.Trends Biotechnol 19:412-415 2001
c) Proteomics concerning expression analysis, it has been shown
that the correlation between RNA and protein expression is weak
and ranges in yeast from 10-40% for lower abundance proteins to
up to 94% for higher abundance proteins.
Molecular Cell Biol 19:1720-1730 1999
It is becoming increasingly evident that the complexity of biological
systems lies at the level of the proteins, and that genomics alone will
not suffice to understand these systems.
It is also at the protein level that disease processes become
manifest, and at which most (91%) drugs act.
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Therefore, the analysis of proteins (including protein-protein,
protein-nucleic acid, and protein-ligand interactions) will beutmost importance to target discovery.
Proteomics is the systematic high-throughput separation and
characterization of proteins within biological systems.
Target identification with proteomics is performed by comparing
the protein expression levels in normal and diseased tissues.
2D PAGE is used to separate the proteins, which are subsequently
identified and fully characterized with LC-MS/MS.
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Target
Validation
Drug
Target
Identification
Lead
Compound
Identification
Lead
Optimization
Preclinical and
Clinical
Development
The Drug Discovery Process
2) Target Validation
Involves demonstrating the relevance of the target protein in a
disease process/pathogenicity and ideally requires both gain and
loss of function studies.
This is accomplished primarily with knock-out or knock-in animal
models, small molecule inhibitors/agonists/antagonists, antisense
nucleic acid constructs, ribozymes, and neutralizing antibodies.
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Since strong interactions between a protein and its ligand are
characterized by a high degree of complementarity, knowledge ofthe protein three dimensional structure will enable the prediction of
druggability of the protein.
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Target
Validation
Drug
Target
Identification
Lead
Compound
Identification
Lead
Optimization
Preclinical and
Clinical
Development
The Drug Discovery Process
3) Lead Compound Identification
Compounds are identified which interact with the target protein
and modulate its activity.
Compounds are mainly identified using random (screening) or
rational (design) approaches.
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A) High-throughput Screening
Used to test large numbers of compounds for their ability to affect
the activity of target proteins.
Natural product and synthetic compound libraries with millions
of compounds are screened using a test assay.Curr Opin Chem Biol 4:445-451 2000
There are concerns with the numbers approach to screening for
a lead molecule. In theory generating the entire chemical space
for drug molecules and testing them would be an elegant approach
to drug discovery.
In practice, this isnt feasible.
Drug Discovery Today 5:2-4 2000
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Therefore, concepts are needed to synthesize and select biologically
relevant compounds.
One solution may be to accumulate as much knowledge as possible
on biological targets (eg. structure, function, interactions, ligands)
and choose targeted approaches to chemical synthesis.
Another crucial point for reliable high-throughput screening
results is the robustness and quality of the biological test assays.
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B) Structure Based Drug Design
Three dimensional structures of compounds from virtual or
physically existing libraries are docked into binding sites oftarget proteins with known or predicted structure.
Scoring functions evaluate the steric and electrostatic
complementarity between compounds and the target protein.
The highest ranked compounds are then suggested for
biological testing.
Drug Discovery Today 7:64-70 2002
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Once hits (compounds that elicit a positive response in an assay)
have been identified via the screening approach, these are validated
by re-testing them and checking the purity and structure of thecompounds.
Only if the hits fulfill certain criteria are they regarded as leads.
The criteria can originate from:
1) Pharmacodynamic properties - efficacy, potency, selectivity
2) Physiochemical properties - water solubility, chemicalstability, Lipinskis rule-of-five.
3) Pharmacokinetic properties - metabolic stability and
toxological aspects.4) Chemical optimization potential - ease of chemical synthesis
and derivatization.
5) Patentability
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Target
Validation
Drug
Target
Identification
Lead
Compound
Identification
Lead
Optimization
Preclinical and
Clinical
Development
The Drug Discovery Process
4) Lead Optimization
Molecules are chemically modified and subsequently characterized
in order to obtain compounds with suitable properties to become a
drug.
Leads are characterized with respect to pharmacodynamic
properties such as efficacy and potency in vitro and in vivo,
physiochemical properties, pharmacokinetic properties, and
toxicological aspects.
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Efficacy vs PotencyPotency refers to the amount of drug required for its specific effect
to occur; it is measured simply as the inverse of the EC50 for thatdrug.
Efficacy measures the maximum strength of the effect itself, at
saturating drug concentrations.
Drug Red exceeds drug Black in potency, while the opposite istrue of the efficacy.
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Pharmacokinetics - determining the fate of xenobiotics.- what the body does to the drug.
Often divided into areas examining the extent and rate
of adsorption, distribution, metabolism, and excretion(ADME).
Pharmacodynamics - determining the biochemical and physiological
effects of drugs, the mechanism of drug action,
and the relationship between drug
concentration and effect.
- what the drug does to the body
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This is often the tightest bottleneck in drug discovery.
This process ideally requires the simultaneous optimization ofmultiple parameters and is thus a time consuming and costly step.
Hints on how to modify a lead compound can originate from
molecular modeling, quantitative structure-activity relationships,and from structural biology (structure-based drug design).
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In parallel to compound characterization with respect to potencyand selectivity, in vitro assays for the prediction of pharmacokinetic
properties should be performed.
Curr Drug Metab 2:299-314 2001
Once compounds with desirable in vitro profiles have been
identified, these are characterized using in vivo models.
Compounds that do not fulfill the requirements for a successful
drug development candidate have to be optimized through the
synthesis of better suited derivatives.
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It is vital to conceive lead optimization as a simultaneous
multidimensional process rather than a sequential one. Optimizingleads first with respect to pharmacodynamic properties (potency,
selectivity, etc) and looking at pharmacokinetic parameters of these
optimized compounds later guarantees frustration in the lateoptimization phase.
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Target
Validation
Drug
Target
Identification
Lead
Compound
Identification
Lead
Optimization
Preclinical and
Clinical
Development
The Drug Discovery Process
Preclinical studies involve in vitro studies and trials on animal
populations.
Wide ranging dosages of the compounds are introduced to the
cell line or animal in order to obtain preliminary efficacy and
pharmacokinetic information.
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The NIH organizes clinical trials into 5 different types:
1) Treatment trials: test experimental treatments or a new
combination of drugs.
2) Prevention trials: look for ways to prevent a disease or prevent
it from returning.
3) Diagnostic trials: find better tests or procedures for diagnosinga disease.
4) Screening trials: test methods of detecting diseases.
5) Quality of Life trials: explore ways to improve comfort and
quality of life for individuals with a chronic illness.
Cli i l T i l
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Clinical Trials
Phase 0 - a recent designation for exploratory, first-in-human trials.
Designed to expedite the development of promising
therapeutic agents by establishing early on whether the agent
behaves in human subjects as was anticipated from
preclinical studies.
Pharmaceutical clinical trials are commonly classified into 4 phases:
(as of 2006, there are now 5)
Phase I - a small group of healthy volunteers (20-80) are selected
to assess the safety, tolerability, pharmacokinetics, and
pharmacodynamics of a therapy.
- normally include dose ranging studies so that doses forclinical use can be set/adjusted.
New Scientist, March 2006,
Catastrophic immune response may have caused
drug trial horror
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Phase I - there are 3 common kinds of phase I trials:
1) Single Ascending Dose (SAD) studies- a small group
of patients are given a single dose of the drug and thenare monitored over a period of time. If they do not exhibit
any adverse side effects, the dose is escalated and a new
group of patients is given the higher dose.
2) Multiple Ascending Dose (MAD) studies- a group of
patients receives multiple low doses of the drug, while
blood (and other fluids) are collected at various time
points and analyzed to understand how the drug is
processed within the body. The dose is subsequently
escalated for further groups.
3) Food effect- designed to investigate any differences in
absorption caused by eating before the dose is given.
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80% of drugs fail the Phase I clinical trial.
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Phase II - performed on larger groups (20-300) and are designed
to assess the activity of the therapy, and continue Phase I
safety assessments.
Phase III - randomized controlled trials on large patient groups
(hundreds to thousands) aimed at being the definitiveassessment of the efficacy of the new therapy, in comparison
with standard therapy. Side effects are also monitored.
-it is typically expected that there be at least two successfulphase III clinical trials to obtain approval from the FDA.
Once a drug has proven acceptable, the trial results are combined
into a large document which includes a comprehensive description
of manufacturing procedures, formulation details, shelf life, etc.
This document is submitted to the FDA for review.
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Phase IV - post-launch safety monitoring and ongoing technical
support of a drug.
- may be mandated or initiated by the pharmaceuticalcompany.
- designed to detect rare or long term adverse effects over
a large patient population and timescale than was possibleduring clinical trials.
USA Today 10/12/2004 How did Vioxx debacle happen?