Lecture 12 Flashcards
ADMET
Drug Development
- Ancient history - raw herbals, often still popular
- History - isolate pure(ish) natural product actives
- Recent History - tinker on peripheries of isolated natural product actives, EX: Morphine => Heroin via acetylation
Screening Libraries
- 1 or the 2 ways to screen for effective drug compounds
- Compound library of hundred to millions of individual compounds of usually known structures
- Key asset to pharmacology
Why not use crystal structure and rationally design?
- Most receptors = membrane proteins
- Enormously difficult to crystallize
In Vitro Screens
- Libraries are useful towards these tests
- Larger libraries get more hits, so HTS = more common
- Robotic, multiwell plates, optical readouts
- Libraries and in vitro screens go on to feed the next step: Developing SAR
Develop SAR
- Want to find 10-100 “drug-like” potentials
- Resynthesize diverse mini-library based on main compound’s skeleton - 100-1000s
- Often use bioisoteric replacement to swap out groups that behave and interact with targets similarly (EX: replacing a phenol with a pyridyl or thiophenyl)
- Also guided by periodic table, move 1 row up or down
- Move columns less since it can cause issues with valence and acid/base reactions
- *Often switch H => F to prevent P450 mediated oxidation)
Crystal Structures
Save lots of time by guiding development of the ligands
Fragments
-Instead of trying to match all receptor-drug interactions at the same time you build the compound piece by piece to fit the model and amalgamate into potentially synthesizable molecule
Animal Models
- Sometimes use animal models at this point to test the molecule that was development
- Run 5-10 top choices through in-vivo screen
- See how this affects SAR ranking based on drug activity
Poor ADMET drives…
60% of drug failure. All the development takes time and money, sometimes up to 10-20 years and $500-1000 million.
Why Drugs Fail (4)
- Poor biopharmaceutical properties (bad ADME), 39%
- Lack of efficacy, 29%
- Toxicity, 21%
- Market reasons, 6%
* *Adverse ADMET leads to 60% of wastage**
ADMET
- Easier than Bioactivity to predict
- Determined largely by physicochemical properties
- Absorption/Distribution - largely determined by solubility and permeability
- Metabolic enzymes have low stringency due to evolution pressure to deal with a large pool of xenobiotics
- Toxicity - large component of chemical reactivity (simple rules work)
- ADMET towards receptors is much more difficult due to their high stringency and dimensionality in chemical space (simple rules don’t work)
A
- Absorption
- In absence of transporters, this is driven by Lipinski’s rule of 5
H Donor
H attached to heteroatom (O, N, S) that is partially negative in charge.
H Acceptor
A heteroatom (O, N, S)
D
- Distribution
- Methods of transport depend on ligand polarity
- Can deliver compound by diffusion or receptor