| Literature DB >> 35939280 |
Josh Vincent Vermaas1, Ada Sedova1, Matthew B Baker1, Swen Boehm1, David M Rogers1, Jeff Larkin2, Jens Glaser1, Micholas D Smith1,3, Oscar Hernandez1, Jeremy C Smith1,3.
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.Entities:
Year: 2020 PMID: 35939280 PMCID: PMC9280802 DOI: 10.1109/MCSE.2020.3036540
Source DB: PubMed Journal: Comput Sci Eng ISSN: 1521-9615 Impact factor: 2.152