Lecture 1: Drug target identification, validation and high throughput screening Flashcards

1
Q

Drug phases diagram

A
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2
Q

Distinguish between the definitions of a drug and medicine? What does the definition of medicine encompass?

A

Drug: A substance that alters physiological function

Medicine: Legally defined as a substance that is used:

  1. for the treatment of illness
  2. for anaesthesia
  3. for contraception
  4. for maintaining health
  5. as a test for diagnosing illness
    * The definition of ‘medicine’ encompasses small-molecules, monoclonal antibodies, other therapeutic proteins, vaccines and cells*
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3
Q

Why is a legal definition of medicine required?

A

Legal definition of a ‘medicine’ is required because marketing authorisation is necessary for them to be sold.

Marketing authorisation is granted by nation states on the advice of regulatory authorities.

Marketing authorisation is a licence to market the medicine in a country. Authorisation can be suspended or revoked (cancelled) if necessary.

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4
Q

Give examples of regulatory authorities?

A
  1. UK –Medicines and Healthcare Products Regulatory Agency (MHRA)
  2. EU –European Medicines Agency (EMEA): handles all biotech products and some specific diseases for all EU
  3. USA –Food and Drugs Administration (FDA)

Similar bodies exist elsewhere e.g. SFDA in PR China

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5
Q

What is the typical cost of discovery of medicine? What are the chances of success? How many years may it take?

A

What is the typical cost of discovery of medicine? £1bn

What are the chances of success? | <5%

How many years may it take? | 10-12 years

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6
Q

What are the different origins of new medicines?

A
  1. Chemical synthesis of new molecular entities
  2. Nature
  3. Rational modification of known drugs or repurposing of existing medicines
  4. Biotechnology
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7
Q

What is medical chemistry discipline and biotechnology responsible for creating?

A

Medicinal chemistry à responsible for creating New Molecular Entities (NMEs) – small molecule drugs

Biotechnology à responsible for creating New Biological Entities (NBEs,biologics). It also engineers’ cells to produce some chemical entities that are synthetically intractable (hard to control) by bench (wet) chemistry

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8
Q

What is biotechnology? Describe its use in the discovery of a small molecule drug?

A

Biotechnology: involves living system or organism to develop a product

Taxol is a chemotherapy drug used in breast/ovarian/ lung cancer treatment.

It is a natural product found in the bark of the pacific yew tree, but you needed a lot of brak for a little bit of taxol so was not sustainable.

So solution was to take cells from an individual tree and engineer them to produce large amounts of taxol

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9
Q

Describe the traditional route for New Molecular Entities (NMEs)

A
  1. Basic research identifies targets (e.g.: receptors, ion channels, that has a role in the disease process)
  2. Virtual (in silico) and physical chemical libraries are screened for ‘hits’ against target
  3. Hits are optimised into ‘drug-like’ leads
  4. Candidate drug
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10
Q

Blue skies research

A

“research without a clear goal” and “curiosity-driven science”

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11
Q

What are the sources of Targets?

A
  1. Industry –Largely focussed research
  2. Academia –Traditionally ‘blue skies’ research but increasing focus on translatability
  3. Joint ventures – focussed research often with a ‘blue skies’ component
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12
Q

How many drug targets are there? What does draggability depend on?

A

Based on human genome there are potentially~30,000 targets

  • Of these, 20 –50 % are druggable (receptor agonists and antagonists, ion channel modulators, enzyme inhibitors)
  • 50 -80 % are undruggableor ‘difficult’ to access (require modulators of protein-protein interactions)

Druggability depends inter alia (among other things) upon binding site access, site topology, lipophilicity, polarity and H-bond formation

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13
Q

Chemical Libraries*

A

There are chemical libraries which are a colleciton of chemicals (info about those chemcials are avaible and stored on a database)

You have a target in mind –> you screen this target against those chemicals —-> you get a ‘hit’ = which means there was a chemical that had interactions with that target you were screening for –> this means that this Hit could be a potential drug against that target

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14
Q

What are the different evidences and methods in target ID and Validation?

A
  1. Traditional’ ‘ologies’ (physiology, pharmacology, biochemistry etc)
  2. Systems biology
  3. Differential gene expression in health and disease
  4. Differential post-translational modification
  5. siRNA knock-down; CRISPR-Cas9 gene editing – to identify the involvement of particualr gene prodcuts in porcesses
  6. Knock-out/knock-in animal models
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15
Q

Describe the start of Chemical Discovery of NMEs

A
  1. We could begin on existing structures/precedented chemotypes (to imporve it)
    * But this might be protected by patent
  2. Prospecting Compound libraries:
  • Physical libraries: used when there is minial data on target.
  • Virtual libraries: computational chemistry generally requires high quality structural data for target in order to accelerate hit/lead findin
  • Fragment-based screening libraries: approach to find novel structures by using realtively small libaries of small MW compounds. We screen the small libraray agaisnt our target and look for binding of small molecuel – bindig will be weak because they are small fragments (not whole drug). Use this binding info to design a moelcuel that incorporates all binadble fragments (our drug).
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16
Q

How do we know when we have made progress in Chemical Discovery of NMEs?

A

Hits, Leads and CDs are assigned pre-defined essential properties (‘templates’). Templates vary in exact detail from company to company but general similarities exist

  • Is a good structure-activity relationship (SAR) evident?
  • Is there chemical scope to fix problems?
  • Do tests against meaningful/translatable disease models provide encouragement?
17
Q

Drugs must reach their target to act. Describe the different routes of delivery and their potential use?

A

Oral dosing (70 % of medicines)

  • Pateints w/chronic diseases can dose themselves
  • over the counter (OTC) possible
  • good compliance
  • lower costs

Injectables (25 % of medicines)

  • Biologicals (because they hav negligible bioavaibilty)
  • Used for oncology and acute treatment
  • Requires hospital prescribing therefore less suitbale for chronic diseases

Inhalation

  • Good for respiratory disease, however with Asthma this route is often used to avoid on-target side effects (pharmadynamic effect on normal tissue).

Dermal

  • Low dose only
18
Q

Most NME discovery should be geared towards designing orally active compounds, but oral delivery presents the most barriers to drug absorption

How can the probability of discovering developable orally active compounds be increased?

A

Optimise more than just the interaction of compounds with our target. The Lipinski Rules (Ro5) which states that Poor absorption or permeation are more likely when there are:

  • More than 5 H-bond donors
  • MW >500
  • cLogP>5 (or mLogP>4.15)
  • The sum of Ns and Os is >10

Substrates for transporters or natural products are obvious exceptions.

Application of Ro5 increases probability of success but it must be used with commonsense

Other rule-based systems (GhoseRules; Congreve Ro3) are applicable too

19
Q

Give an example of a Ro5 exception?

A

Sildenafil, one of Pfizer’s best known medicines, isn’t technically compliant with Ro5!

As it has more H bonds than desirable, it gets through though because one of the H bonds is an intramolecular hydrogen bond

20
Q

Illustrate the challenges of finding a useful compound?

A

DMPK – Drug metabolism and pharmcokinetic protperties

Desirable, developable molecules exist only at the intersection of several properties of any one CD

21
Q

How many compounds to we have to screen?

A

Pfizer Global Virtual Library – the largest library of potentially synthesisable compounds à contains 1012 chemcials

We need to screen a realistic number of compounds

(eg 106 members per library) to find useful leads but we cannot test everything, so we need to know where to focus attention while allowing for surprises.

So since we have a limtied number of chemcials to put we need to make the libraries highly diverse, but potentially drug-like.

Library size can be reduced by structural filters which remove compounds likely to be worthless

22
Q

How does the presence of good quality structural information about the target affect libraries?

A

Libraries can be highly focused. In these cases focused libraries may contain as little as a few hundred members but usually number in thousands

23
Q

When might it be desirable to make drugs having anti-Lipinski properties?

A

Inhaled medicines we do not want them to be absorbed rather we want them to be trapped in airways.

24
Q

What types of assays might be performed in early stages using highly automated procedures?

A

Applicable to ‘Hit’ and ‘Lead’ stages

  • We can observe receptor binding on cells
  • Cellular function readouts (eg calcium, kinase activity)
  • Scintillation proximity assay useful for bindign studies
  • Surface plasmon resonance; NMR (this combo is useful in fragment based screening)
  • High content screening/traditional phenotypic screening (in advanced stages of drug optimisation, it is challenging)
  • Simple in vivo studies

Increasing complexity is permitted with progression towards CD

25
Q

Describe Optimisation Assays for Off-Target Screens?

A

Frequently addressed by counter-screening campaigns to see if your compound is selective or not (investigate off-target effects) you go to ‘Cerep’ or ‘Panlabs’ (names of the companies).

The flag in off-target screening are nuisances which may indicate trouble in CD if not fixed or at least understood

26
Q

Describe Optimisation Assays for testing ADME/DMPK?

ADME – absorption, drug metabolism and excretion

DMPK – drug metabolism and pharmacokinetics

A

To check PK:

  • In-vivo studies: i.v. vs oral PK in rodents provides biostability data
  • In-vitro assay: Caco2 permeability assay (for GI absorption)
  • In-vitro: Plasma protein binding
  • In-vitro: Thermodynamic solubility
  • In-vitro: Drug metabolising enzyme interactions

All the above will flag any nuisances

27
Q

Ames test

A

A test to determine the mutagenic activity of chemicals by observing whether they cause mutations in sample bacteria

28
Q

Describe Optimisation Screens for testing Safety?

A
  • hERG channel inhibition (cardiac safety)
  • Mini- or full panel Ames test for mutagenicity
  • Computational toxicology
    • DEREK (Deductive Estimation of Risk from Existing Knowledge)
    • TOPKAT (Toxicology Prediction by K(C)omputer Assisted Technology)
    • SARAH (in silico statistics based mutagenicity prediction)
29
Q

Describe Optimisation Assays examples for testing efficacy?

A

Apply appropriate in vivo models to justify compound progression

Note that some diseases are notoriously difficult to model (eg psychiatric illnesses) and translation is very hard

Clinically-validated biomarkers provide one means to add robustness to translation models

30
Q

Why does discovery research have a high failure rate?

A
  1. Ruthless attrition is required to counter the wishful dreams of biologists
  2. The target proves unimportant
  3. The target is important but biological redundancy dominates
  4. The target is not ‘druggable’ (potency, selectivity and pharmacokinetic problems)

Early failure is relatively cheap and thus preferred to late-stage clinical failure