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The Drug Research Phase:

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The Drug Research Phase: Target. finding. Lead. identification. Lead. optimization. Developmental ... as a filter for oral drug absorption ... – PowerPoint PPT presentation

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Title: The Drug Research Phase:


1
The Drug Research Phase
2
From Hits to Leads
3
The Lead Discovery Process
4
The "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?
5
The HTS Data Analysis Workflow
  • Check activity distribution profiles and
    statistics gt hit definition and identification

6
SPA ? Principle
7
The 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

8
Activity Distribution Profile
Mean 100 Ctrl Standard Deviation 12
Mean 97 Ctrl Standard Deviation 25
9
Activity Distribution Profile
10
The HTS Data Analysis Workflow
  • Check activity distribution profiles and
    statistics
  • Check selectivity with respect to other HTS
    assays

11
Selectivity Profile
12
The HTS Data Analysis Workflow
  • Check activity distribution profiles and
    statistics
  • Check selectivity with respect to other HTS
    assays
  • Cluster hitlist by similarity

13
Clustering of Hits within Hitlist
Hit Clusters
Chemical Space of Hitlist
14
The 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")

15
Searching for "Nearest-Neighbors" in whole
company pool
HTS Hit
Nearest Neighbors
16
The 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)

17
Fragment-based SAR elucidation
Structure-Activity Relationships
18
Fragment-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.

23
Pharmacodynamics 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
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