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Bridging chemical and biological space: "target fishing" using 2D and 3D molecular descriptors.

Abstract：

:Bridging chemical and biological space is the key to drug discovery and development. Typically, cheminformatics methods operate under the assumption that similar chemicals have similar biological activity. Ideally then, one could predict a drug's biological function(s) given only its chemical structure by similarity searching in libraries of compounds with known activities. In practice, effectively choosing a similarity metric is case dependent. This work compares both 2D and 3D chemical descriptors as tools for predicting the biological targets of ligand probes, on the basis of their similarity to reference molecules in a 46,000 compound, biologically annotated chemical database. Overall, we found that the 2D methods employed here outperform the 3D (88% vs 67% success) in correct target prediction. However, the 3D descriptors proved superior in cases of probes with low structural similarity to other compounds in the database (singletons). Additionally, the 3D method (FEPOPS) shows promise for providing pharmacophoric alignment of the small molecules' chemical features consistent with those seen in experimental ligand/ receptor complexes. These results suggest that querying annotated chemical databases with a systematic combination of both 2D and 3D descriptors will prove more effective than employing single methods.

journal_name

J Med Chem

journal_title

Journal of medicinal chemistry

authors

Nettles JH,Jenkins JL,Bender A,Deng Z,Davies JW,Glick M

doi

10.1021/jm060902w

subject

Has Abstract

pub_date

2006-11-16 00:00:00

pages

6802-10

issue

23

eissn

0022-2623

issn

1520-4804

journal_volume

49

pub_type

杂志文章

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