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Supercomputing Pipelines Search for Therapeutics Against COVID-19.
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.
Afiliação
  • Vermaas JV; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Sedova A; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Baker MB; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Boehm S; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Rogers DM; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Larkin J; NVIDIA Corporation Santa Clara CA 95051 USA.
  • Glaser J; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Smith MD; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
  • Hernandez O; University of Tennessee Knoxville TN 37996 USA.
  • Smith JC; Oak Ridge National Laboratory Oak Ridge TN 37830 USA.
Comput Sci Eng ; 23(1): 7-16, 2021 Jan.
Article em En | MEDLINE | ID: mdl-35939280
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article