移植
计算机科学
虚拟筛选
对接(动物)
软件
超级计算机
计算科学
分子动力学
并行计算
化学
操作系统
计算化学
医学
护理部
作者
Dong Dong,Zhijian Xu,Wu Zhong,Shaoliang Peng
标识
DOI:10.2174/1568026618666180821145215
摘要
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.
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