Impact of implicit solvation models on database enrichment in GPU based blind Virtual Screening

Abstract

Virtual Screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. We present a novel VS methodology that uses implicit solvation models to scan the whole protein surface in order to find new hotspots depending on each ligand, and avoiding bias present in many current VS methods, since they assume same… (More)

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