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Do Structurally Similar Molecules Have Similar Biological Activity?

Journal of Medicinal Chemistry · 2002 · Vol. 45(19) · pp. 4350–4358
Yvonne C. MartinJames L. KofronLinda Traphagen

Abstract

To design diverse combinatorial libraries or to select diverse compounds to augment a screening collection, computational chemists frequently reject compounds that are > or =0.85 similar to one already chosen for the combinatorial library or in the screening set. Using Daylight fingerprints, this report shows that for IC(50) values determined as a follow-up to 115 high-throughput screening assays, there is only a 30% chance that a compound that is > or = 0.85 (Tanimoto) similar to an active is itself active. Although this enrichment is greater than that found with random screening and docking to three-dimensional structures, this low fraction of actives within similar compounds occurs not only because of deficiencies in the Daylight fingerprints and Tanimoto similarity calculations but also because similar compounds do not necessarily interact with the target macromolecule in similar ways. The current study emphasizes the statistical or probabilistic nature of library design and that perfect results cannot be expected.

Computational Drug Discovery MethodsClick Chemistry and ApplicationsMicrobial Natural Products and BiosynthesisChemistryProbabilistic logicComputational biologySet (abstract data type)Similarity (geometry)High-throughput screeningCombinatorial chemistryCombinatorial synthesisBiological systemArtificial intelligence

MeSH terms

Data Interpretation, StatisticalEnzyme InhibitorsMonoamine Oxidase InhibitorsMolecular StructureDatabases, FactualCombinatorial Chemistry TechniquesQuantitative Structure-Activity Relationship
Citations
825
FWCI
14.70
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45
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