Topic 4: drug discovery and sources of novel bioactivities Flashcards
1
Q
Assays in TDD and PDD
A
TDD:
Binding assays: i.e. Surface plasma resonance, radioligand displacement assay
Functional or biochemical assays: Kinase, second messenger mobilization
PDD:
- Bioassays are models of the disease and measuring disease-modifying properties of the screening compounds. They can also be used to validate hits from target based assays
- In vitro: cells and multicellular tissues that reflect disease hall-marks
- In vivo: use of animal models (typically transgenic)
2
Q
TDD pros and cons
A
Pros:
- Rational MOA
- Can use siRNA to probe MOA and validate chemistry
- Aid compound design through determination of structure
Cons:
- Resource intensive
- High failure rate ( 99%)
- Reliant on established druggability
3
Q
PDD pros and cons
A
Pros:
- Direct screening and direct validation
- Target must be druggable
- Can identify novel MOA
Cons:
- Hard to obtain suitably diverse libraries
- Suitably robust phenotypic assays are hard to generate
- MOA unknown difficult to predict disease relevance and safety
4
Q
TDD libraries
A
bias on favourable PK
5
Q
PDD libraries
A
bias of potency and selectivity
6
Q
Diversity considerations and LE
A
- Diversity within aa drug like space is enormous and difficult to populate with fully potent compounds for each possible target
- Easier to populate this space with small ligand efficient compounds (fewer binding motifs and lower N)
7
Q
evaluating hits
A
LE (affinity for MW): 1.4 (-log Ki/N) > 0.3
LipE (affinity a logP) :-lok Ki- log P >4.5
LELP: LogP/Le < 10 (0-7.5)