Lecture 12 Flashcards

ADMET

1
Q

Drug Development

A
  • 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
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2
Q

Screening Libraries

A
  • 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
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3
Q

Why not use crystal structure and rationally design?

A
  • Most receptors = membrane proteins

- Enormously difficult to crystallize

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4
Q

In Vitro Screens

A
  • 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
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5
Q

Develop SAR

A
  • 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)
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6
Q

Crystal Structures

A

Save lots of time by guiding development of the ligands

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7
Q

Fragments

A

-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

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8
Q

Animal Models

A
  • 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
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9
Q

Poor ADMET drives…

A

60% of drug failure. All the development takes time and money, sometimes up to 10-20 years and $500-1000 million.

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10
Q

Why Drugs Fail (4)

A
  1. Poor biopharmaceutical properties (bad ADME), 39%
  2. Lack of efficacy, 29%
  3. Toxicity, 21%
  4. Market reasons, 6%
    * *Adverse ADMET leads to 60% of wastage**
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11
Q

ADMET

A
  • 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)
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12
Q

A

A
  • Absorption

- In absence of transporters, this is driven by Lipinski’s rule of 5

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13
Q

H Donor

A

H attached to heteroatom (O, N, S) that is partially negative in charge.

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14
Q

H Acceptor

A

A heteroatom (O, N, S)

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15
Q

D

A
  • Distribution
  • Methods of transport depend on ligand polarity
  • Can deliver compound by diffusion or receptor
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16
Q

Methods of Transport (3)

A
  1. Free in solution (polar)
  2. Bound to proteins like albumin (intermediate polar, common)
  3. Bound to lipoprotein complexes (very hydrophobic)
17
Q

High Protein Binding

A
  • BAD due to efficacy and displacement potentials, EX: 99% of a drug is bound to protein so only 1% is available for action
  • Other molecules that displace ligands can cause toxicity (more molecules free to cause toxicity)
  • *NOT A HUGE CONCERN IN DEVELOPMENT, RULE OF 5 TAKES CARE OF MOST OUTLIERS**
18
Q

M

A
  • Metabolism
  • Small, polar molecules are excreted by the kidneys
  • Many drugs that are too non-polar go through oxidation to become a conjugate that can be excreted via the liver (EX: aromatic and aliphatic compounds)
  • Need to find the polar balance to promote excretion
  • Prefer slow, predictable metabolisms to cause inactivation or excretion, avoid excretion via problem enzymes
19
Q

Problem Enzymes

A
  • P450 3A4 - tons of inhibitors/inducers making drug-drug interactions common
  • Acetylation rates are variable and can cause varying levels of metabolism in drugs like isoniazid which can lead to hepatotoxicity
20
Q

Prodrugs

A
  • Can allow for absorption of Ro5 breaking compounds
  • Mask polar functionalities with esters and amides
  • Can be unmasked via P450 oxidationw
21
Q

E

A
  • Elimination
  • Usually not a problem for development
  • Sometimes specialized pathways are needed (EX: antiobiotics being active and renally excreted to treat UTIs)
  • Done by radiolabelling parent drug to see where it goes, most commonly excreted in urine or bile (can also be done in breath, sweat, and tears)
22
Q

T

A
  • Toxicity
  • All drugs are toxic depending on the dose
  • Many drugs are withdrawn or Black-boxed due to reactive metabolites
  • Try to avoid ligands with chemical strucure that is predisposed to reactive intermediates (EX: aromatic nitros, Michael Addition sites, molecules that are damaging and form HAPTENS)
  • Try to screen drugs earlier now to lose leads and take less massive costs compared to toxic blockbusters
23
Q

Toxicity Types (5)

A
  1. On-target Tox. - Mechanism based, same receptor and wrong tissue (Ex: Statins)
  2. Off-target Tox. - EX: Terfenadine and hERG channel effects
  3. Biotransformation to reactive intermediates - acetaminophen
  4. Hypersensitivites & Immune Response - penicillin
  5. Idiosyncratic Tox. - rare events that don’t fit the other categories

1/2 are sometimes spotted in animal or early trials, but sometimes only when released to larger populations which lead to Black Box or withdrawal

4/5 - dose dependence often isn’t clear