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Cited by 509

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Neighborhood Behavior: A Useful Concept for Validation of “Molecular Diversity” Descriptors

Patterson, David E., Cramer, Richard D., Ferguson, Allan M., Clark, Robert D., Weinberger, Laurence E.·1996·Journal of Medicinal Chemistry

Abstract

When searching for new leads, testing molecules that are too "similar" is wasteful, but when investigating a lead, testing molecules that are "similar" to the lead is efficient. Two questions then arise. Which are the molecular descriptors that should be "similar"? How much "similarity" is enough? These questions are answered by demonstrating that, if a molecular descriptor is to be a valid and useful measure of "similarity" in drug discovery, a plot of differences in its values vs differences in biological activities for a set of related molecules will exhibit a characteristic trapezoidal distribution enhancement, revealing a "neighborhood behavior" for the descriptor. Applying this finding to 20 datasets allows 11 molecular diversity descriptors to be ranked by their validity for compound library design. In order of increasing frequency of usefulness, these are random numbers = log P = MR = strain energy < connectivity indices < 2D fingerprints (whole molecule) = atom pairs = autocorrelation indices < steric CoMFA fields = 2D fingerprints (side chain only) = H-bonding CoMFA fields.

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Metadata

Authors
Patterson, D. E., Cramer, R. D., Ferguson, A. M., Clark, R. D., & Weinberger, L. E.
Venue
Journal of Medicinal Chemistry
Published
1996-01-01
Volume
39
Issue
16
Pages
3049-3059
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2021083597
Cited by
509
References
0
FWCI
35.56
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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