Title: The Drug Research Phase:
1The Drug Research Phase
2 From Hits to Leads
3The Lead Discovery Process
4The "Hit-to-Lead" Process
Questions to ask the "candidate" (Hit) - Is hit
selective with respect to other HTS assays? - How
many similar compounds can be found ...in the
hitlist of this assay (active analogues)? ...in
the whole company pool (active and inactive
analogues)? - Can we detect SAR/pattern of
activity ...in the HTS data? ...in the IC50
data? ...in both? - Which hits are "druglike"?
(Pharmacokinetics) - What about physicochemical
(PC) properties of the hits?
5The HTS Data Analysis Workflow
- Check activity distribution profiles and
statistics gt hit definition and identification
6SPA ? Principle
7The HTS Data Analysis Workflow
- HTS typically runs at single compound
concentrations (e.g. 10-5 molar) - Activity data are expressed relative to negative
controls (buffer) - 100 of control inactive (as negative control)
- lt100 of control inhibition of target
- gt100 of control stimulation of target
8Activity Distribution Profile
Mean 100 Ctrl Standard Deviation 12
Mean 97 Ctrl Standard Deviation 25
9Activity Distribution Profile
10The HTS Data Analysis Workflow
- Check activity distribution profiles and
statistics - Check selectivity with respect to other HTS
assays
11Selectivity Profile
12The HTS Data Analysis Workflow
- Check activity distribution profiles and
statistics - Check selectivity with respect to other HTS
assays - Cluster hitlist by similarity
13Clustering of Hits within Hitlist
Hit Clusters
Chemical Space of Hitlist
14The HTS Data Analysis Workflow
- Check activity distribution profiles and
statistics - Check selectivity with respect to other HTS
assays - Cluster hitlist by similarity
- For each hit, search for similar compounds in
whole company pool (-gt "nearest-neighbor
list")
15Searching for "Nearest-Neighbors" in whole
company pool
HTS Hit
Nearest Neighbors
16The HTS Data Analysis Workflow
- Check activity distribution profiles and
statistics - Check selectivity with respect to other HTS
assays - Cluster hitlist by similarity
- For each hit, search for similar compounds in
whole company pool (-gt "nearest-neighbor
list") - Within each nearest-neighbor list, try to find
structure-activity relationships (SAR)
17Fragment-based SAR elucidation
Structure-Activity Relationships
18Fragment-based SAR elucidation
Positive effect on activity
Negative effect on activity
19 Lead Optimization - From Leads to Developmental
Candidates -
20(No Transcript)
21 What do we want to optimize??
22- Lead Optimization Issues in Medicinal Chemistry
- Pharmacodynamics
- Potency (binding affinity), Efficacy
- Pharmacokinetics
- ADME (Absorption, Distribution, Metabolism,
Elimination) - Toxicology
- Physicochemical (PC) properties
- Solubility, crystal modification etc.
23Pharmacodynamics How the drug impacts the
body Pharmacokinetics How the body impacts the
drug
24 Routes of Administration
- A drug can be applied in different ways
- oral (per os, p.o.)
- intravenous (i.v.)
- subcutaneous (s.c.)
- intramuscular (i.m.)
- sublingual
- inhalative
- dermal, transdermal
- intranasal
- rectal, intravaginal
25 ADME - The faith of the drug in the body
- Absorption
- most drugs have to cross membranes
- exception topical administration (e.g. dermal)
- Distribution
- the drug has to reach its desired point of action
(e.g. brain, lung, heart, liver etc.) - Metabolism
- most drugs are modified by the body
- Elimination
- drugs should not accumulate in the body
26 Absorption The gastrointestinal (GI-)Tract
27 Absorption Most drugs have to cross membranes
- Drugs can cross membranes via
- passive diffusion
- active transport
28 Absorption Molecular Structure of the
phospholipid membrane
29 Absorption Passive Diffusion
D kP
Fick's Law
P distribution coefficient (octanol/water)
q diffusion rate A membrane area d membrane
thickness (Co-Ci) concentration gradient D
diffusion coefficient
30 Absorption Active Transport by Carrier Proteins
31 Oral drug absorption Is it possible to predict
from molecular structure?
32 Lipinski's Rules of Fiveas a filter for oral
drug absorption
Accumulated property distribution of about 2200
Phase II compounds
(Lipinski et al., Adv. Drug Deliv. Rev. 1997, 23,
3-25)
33 Lipinski's Rules of Fiveas a filter for oral
drug absorption
- Poor absorption or permeation are more likely
when there are - More than 5 H-bond donors (NH's OH's)
- The Molecular Weight is over 500
- The logP is over 5
- The sum of N's and O's is over 10
- Substrates for transporters and natural products
are exceptions
34 Polar Surface Area (PSA) as a filter for oral
drug absorption
Oseltamivir
Zanamivir
Polar Surface Area Unpolar Surface Area
35 Polar Surface Area (PSA) as a filter for oral
drug absorption
Rule of thumb The PSA should not exceed 140 Å2
36 Oral drug absorption
Top-selling drugs obey Lipinski and PSA rules
of thumb!
37 Oral drug absorption
- Poor intestinal absorption - Must be
applied as inhalent
- Orally active - Applied as capsules
38 Oral drug absorption
Binding of Zanamivir and Oseltamivir to
Neuraminidase