| Literature DB >> 30129415 |
Dong Dong1, Zhijian Xu2, Wu Zhong3, Shaoliang Peng1,4.
Abstract
Molecular docking, as one of the widely used virtual screening methods, aims to predict the binding-conformations of small molecule ligands to the appropriate target binding site. Because of the computational complexity and the arrival of the big data era, molecular docking requests High- Performance Computing (HPC) to improve its performance and accuracy. We discuss, in detail, the advances in accelerating molecular docking software in parallel, based on the different common HPC platforms, respectively. Not only the existing suitable programs have been optimized and ported to HPC platforms, but also many novel parallel algorithms have been designed and implemented. This review focuses on the techniques and methods adopted in parallelizing docking software. Where appropriate, we refer readers to exemplary case studies. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.Entities:
Keywords: CADD; DDGrid; High-performance computing; Molecular docking; SARS; Virtual screening.
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Year: 2018 PMID: 30129415 DOI: 10.2174/1568026618666180821145215
Source DB: PubMed Journal: Curr Top Med Chem ISSN: 1568-0266 Impact factor: 3.295