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超级计算管道寻找抗 COVID-19 的疗法。

Supercomputing Pipelines Search for Therapeutics Against COVID-19.

作者信息

Vermaas Josh Vincent, Sedova Ada, Baker Matthew B, Boehm Swen, Rogers David M, Larkin Jeff, Glaser Jens, Smith Micholas D, Hernandez Oscar, Smith Jeremy C

机构信息

Oak Ridge National Laboratory Oak Ridge TN 37830 USA.

NVIDIA Corporation Santa Clara CA 95051 USA.

出版信息

Comput Sci Eng. 2020 Nov 6;23(1):7-16. doi: 10.1109/MCSE.2020.3036540. eCollection 2021 Jan.

Abstract

The urgent search for drugs to combat SARS-CoV-2 has included the use of supercomputers. The use of general-purpose graphical processing units (GPUs), massive parallelism, and new software for high-performance computing (HPC) has allowed researchers to search the vast chemical space of potential drugs faster than ever before. We developed a new drug discovery pipeline using the Summit supercomputer at Oak Ridge National Laboratory to help pioneer this effort, with new platforms that incorporate GPU-accelerated simulation and allow for the virtual screening of billions of potential drug compounds in days compared to weeks or months for their ability to inhibit SARS-COV-2 proteins. This effort will accelerate the process of developing drugs to combat the current COVID-19 pandemic and other diseases.

摘要

对对抗新冠病毒药物的紧急搜寻工作包括使用超级计算机。通用图形处理单元(GPU)的运用、大规模并行计算以及高性能计算(HPC)新软件,使研究人员能够以前所未有的速度在潜在药物的广阔化学空间中进行搜索。我们利用橡树岭国家实验室的Summit超级计算机开发了一种新的药物发现流程,以助力开创这一工作,其新平台整合了GPU加速模拟,能够在数天内对数十亿种潜在药物化合物进行虚拟筛选,而以往依靠其抑制新冠病毒蛋白质的能力进行筛选则需要数周或数月时间。这项工作将加速研发对抗当前新冠疫情及其他疾病药物的进程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/449f/9280802/c68221d4eb17/verma1-3036540.jpg

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