Predicting new molecular targets for known drugs.

Abstract:

:Although drugs are intended to be selective, at least some bind to several physiological targets, explaining side effects and efficacy. Because many drug-target combinations exist, it would be useful to explore possible interactions computationally. Here we compared 3,665 US Food and Drug Administration (FDA)-approved and investigational drugs against hundreds of targets, defining each target by its ligands. Chemical similarities between drugs and ligand sets predicted thousands of unanticipated associations. Thirty were tested experimentally, including the antagonism of the beta(1) receptor by the transporter inhibitor Prozac, the inhibition of the 5-hydroxytryptamine (5-HT) transporter by the ion channel drug Vadilex, and antagonism of the histamine H(4) receptor by the enzyme inhibitor Rescriptor. Overall, 23 new drug-target associations were confirmed, five of which were potent (<100 nM). The physiological relevance of one, the drug N,N-dimethyltryptamine (DMT) on serotonergic receptors, was confirmed in a knockout mouse. The chemical similarity approach is systematic and comprehensive, and may suggest side-effects and new indications for many drugs.

journal_name

Nature

journal_title

Nature

authors

Keiser MJ,Setola V,Irwin JJ,Laggner C,Abbas AI,Hufeisen SJ,Jensen NH,Kuijer MB,Matos RC,Tran TB,Whaley R,Glennon RA,Hert J,Thomas KL,Edwards DD,Shoichet BK,Roth BL

doi

10.1038/nature08506

subject

Has Abstract

pub_date

2009-11-12 00:00:00

pages

175-81

issue

7270

eissn

0028-0836

issn

1476-4687

pii

nature08506

journal_volume

462

pub_type

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