Adverse drug reaction prediction using scores produced by large-scale drug-protein target docking on high-performance computing machines.
Late-stage or post-market identification of adverse drug reactions (ADRs) is a significant public health issue and a source of major economic liability for drug development. Thus, reliable in silico screening of drug candidates for possible ADRs would be advantageous. In this work, we introduce a co...
Main Authors: | Montiago X LaBute, Xiaohua Zhang, Jason Lenderman, Brian J Bennion, Sergio E Wong, Felice C Lightstone |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4156361?pdf=render |
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