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J Med Chem. 2007 Nov 1;50(22):5324-9. Epub 2007 Oct 6.

From docking false-positive to active anti-HIV agent.

Author information

1
Department of Chemistry, Yale University, New Haven, Connecticut 06520-8107, USA.

Abstract

Virtual screening of the Maybridge library of ca. 70 000 compounds was performed using a similarity filter, docking, and molecular mechanics-generalized Born/surface area postprocessing to seek potential non-nucleoside inhibitors of human immunodeficiency virus-1 (HIV-1) reverse transcriptase (NNRTIs). Although known NNRTIs were retrieved well, purchase and assaying of representative, top-scoring compounds from the library failed to yield any active anti-HIV agents. However, the highest-ranked library compound, oxadiazole 1, was pursued as a potential "near-miss" with the BOMB program to seek constructive modifications. Subsequent synthesis and assaying of several polychloro-analogs did yield anti-HIV agents with EC50 values as low as 310 nM. The study demonstrates that it is possible to learn from a formally unsuccessful virtual-screening exercise and, with the aid of computational analyses, to efficiently evolve a false positive into a true active.

PMID:
17918923
PMCID:
PMC2575345
DOI:
10.1021/jm070683u
[Indexed for MEDLINE]
Free PMC Article

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