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)
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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
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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
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4
Q

TDD libraries

A

bias on favourable PK

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5
Q

PDD libraries

A

bias of potency and selectivity

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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)
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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)

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