Title: Kein Folientitel
1 Computer-Assisted Library Design (CALD)
2- Issues and Concepts in Combinatorial Library
Design
- Size of the library
- Coverage of properties (chemical space)
- Diversity, Similarity, Redundancy
- Descriptor validation
- Subset selection from virtual libraries
- Analysis of Structure-Activity Relationships
(SAR)
3 Library Size Considerations
Generic library
Targeted/Biased library
Focussed library
Assay
4 Example of target knowledge
5 Coverage of properties (Chemical space
concept)
6What is similar?
7Different spaces, classified by
816 diverse aldehydes...
9 ...sorted by common scaffold
10 ...sorted by functional groups
11- Key features in similarity/diversity
calculations
- Properties to describe elements (descriptors)
- Distance measure (metric)
12Molecular Descriptors
- 1D Whole-molecule properties (e.g. molecular
weight, melting point, logP etc.) - 2D Presence or absence of molecular
fragments - path-based -
fragment-based - feature trees - 3D - Surface properties (e.g. electrostatic
potential, solvent accessible surface area
etc.), - 3-dimensional shape, - Affinity
fingerprints
13Path-based 2D fingerprints (implemented e.g. in
Daylight and Tripos software)
14Fragment-based 2D fingerprints (implemented e.g.
in MDL software)
15Feature Trees (Rarey and Dixon, J. Comp.-Aided
Mol. Des. 12 (1998) 471-490)
16in-vitro Affinity Fingerprints (Kauvar et al.,
ChemistryBiology, 2 (1995) 107-118)
Molecular similarity is defined by in-vitro
binding patterns ("Affinity Fingerprints") of a
ligand set (L) in reference binding assays (A)
17in-silico (virtual) Affinity Fingerprints (Briem
and Lessel, Perspect. in Drug Discovery Design,
20 (2000) 231-244)
- Terrapins in-vitro screening in diverse reference
assays is simulated - by Computational Docking into a reference panel
of protein pockets (Docksim, Flexsim-X) - by Computational Fitting onto a reference panel
of small molecules (Flexsim-S)
18Some Distance Measures (Metrics)
- Tanimoto coefficient(only applicable for binary
representations)
- Euclidian (geometric) distance(applicable for
binary and non-binary representations)
19Calculation of Tanimoto coefficient
Bits set in Molecule A 4 Bits set in Molecule
B 4 Bits in common 3
20Calculation of Euclidian distance