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...
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Veröffentlicht in: | PloS one 2014-09, Vol.9 (9), p.e106298 |
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Sprache: | eng |
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