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Chemical Similarity Using Geometric Atom Pair Descriptors

Sheridan, Robert P., Miller, Michael D., Underwood, Dennis J., Kearsley, Simon K.·1996·Journal of Chemical Information and Computer Sciences

Abstract

Similarity searches using topological descriptors have proved extremely useful in aiding large-scale screening. In this paper we describe the geometric atom pair, the 3D analog of the topological atom pair descriptor (Carhart et al. J . Chem . Inf . Comput . Sci . 1985, 25, 64−73). We show the results of geometric similarity searches using the CONCORD-build structures of typical small druglike molecules as probes. The database to be searched is a 3D version of the Derwent Standard Drug File that contains an average of 10 explicit conformations per compound. Using objective criteria for determining how good a descriptor is in selecting active compounds from large databases, we compare the results using the geometric versus the topological atom pair. We find that geometric and topological atom pairs are about equally effective in selecting active compounds from large databases. How the two types of descriptors rank active compounds is generally about the same as well, but occasionally active compounds will be seen as very similar to a probe in geometric descriptors, but as fairly dissimilar in topological descriptors. These are of two types: (1) compounds where equivalent groups are in the same spatial arrangement as in the probe but are connected by very different bond paths and (2) compounds that can superimpose onto the probe when they are in a folded conformation.

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Authors
Sheridan, R. P., Miller, M. D., Underwood, D. J., & Kearsley, S. K.
Venue
Journal of Chemical Information and Computer Sciences
Published
1996-01-01
Volume
36
Issue
1
Pages
128-136
ISSN
  • 0095-2338 (ISSN-L)
  • 1520-5142
OpenAlex
W2026909852
Cited by
183
References
0
FWCI
14.94
Type
journal article
Language
en
Open access
closed

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