Optimising Leads Flashcards
(13 cards)
1
Q
Physicochemical properties
A
- solubility = must be able to be absorbed in vivo
- lipophilicity = too polar won’t cross BBB and too lipophilic can have higher risk of toxicity or cross-reaction with other targets
logP =< 5 for best balance of properties
2
Q
Pharmacology
A
- selectivity = screen against closely related receptors
- mechanism of action studies = competitive vs non-competitive inhibition, agonist vs antagonist
- cross-species data = are key residues conserved?
3
Q
ADMET
A
- absorption
- distribution
- metabolism
- excretion
- toxicity
4
Q
Absorption
A
- model of intestinal absorption = human colon cancer line
- surrogate marker to estimate oral absorption
- cheaper and higher throughput than in vivo analysis
5
Q
Metabolism
A
- most in liver by cytP450 enzymes
- clearance through bile or kidneys
- can test by incubating in vitro with liver microsome and hepatocytes
- can determine time course of drug stability and measure intrinsic clearance
phase 1: oxidation (p450 alcohol dehydrogenase), reduction (NAD PH P450 reducaste), hydrolysis (esterases)
phase 2: conjugation with polar group
6
Q
Cytp450 Drug-Drug Interactions
A
- grapefruit juice has an inhibitor of cytP450
- so better when drug metabolised by multiple enzymes
7
Q
Oral bioavailability
A
amount of drug dose that reaches systemic circulation
8
Q
Oral dosing
A
- measure levels at different time points
- preclinical pharmacokinetic data to predict the human PK profile
- use information on potency at target and activity in in vivo models
- needs to be both safe and effective
9
Q
Toxicology
A
- identify potential adverse effects
- balance risk and benefit
- early lead optimisation looks for: cytotoxicity, genotoxicity and in vitro activity at receptors
- late lead optimisation uses in vivo studies to determine pathology and therapeutic index (legal requirement) in whole animals
10
Q
Therapeutic index
A
ratio between dose expected to elicit an adverse effect and dose required for benefit
11
Q
Genotoxic
A
reverse mutations allow cell growth in absence of histadine
12
Q
Animal models
A
- end point of lead optimisation is to show an effect in an animal model
- attempt to mimic human disease
13
Q
Why use animal models?
A
- cell data doesn’t always predict in vivo situation
- animals are multicellular
- pharmacokinetics will affect efficacy
- need to measure therapeutic index
- toxicology studies are a legal requirement
- dose prediction