Article,

Structure-Based Virtual Screening for Drug Discovery: a Problem-Centric Review

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The AAPS Journal, 14 (1): 133--141 (2012)
DOI: 10.1208/s12248-012-9322-0

Abstract

Structure-based virtual screening (SBVS) has been widely applied in early-stage drug discovery. From a problem-centric perspective, we reviewed the recent advances and applications in SBVS with a special focus on docking-based virtual screening. We emphasized the researchers' practical efforts in real projects by understanding the ligand-target binding interactions as a premise. We also highlighted the recent progress in developing target-biased scoring functions by optimizing current generic scoring functions toward certain target classes, as well as in developing novel ones by means of machine learning techniques.

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