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Supercomputing Pipelines Search for Therapeutics Against COVID-19
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 dru...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280802/ https://www.ncbi.nlm.nih.gov/pubmed/35939280 http://dx.doi.org/10.1109/MCSE.2020.3036540 |
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collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9280802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-92808022022-08-01 Supercomputing Pipelines Search for Therapeutics Against COVID-19 Comput Sci Eng Theme Article: Computational Science in the Fight against Covid-19, Part II 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. IEEE 2020-11-06 /pmc/articles/PMC9280802/ /pubmed/35939280 http://dx.doi.org/10.1109/MCSE.2020.3036540 Text en This article is free to access and download, along with rights for full text and data mining, re-use and analysis. |
spellingShingle | Theme Article: Computational Science in the Fight against Covid-19, Part II Supercomputing Pipelines Search for Therapeutics Against COVID-19 |
title | Supercomputing Pipelines Search for Therapeutics Against COVID-19 |
title_full | Supercomputing Pipelines Search for Therapeutics Against COVID-19 |
title_fullStr | Supercomputing Pipelines Search for Therapeutics Against COVID-19 |
title_full_unstemmed | Supercomputing Pipelines Search for Therapeutics Against COVID-19 |
title_short | Supercomputing Pipelines Search for Therapeutics Against COVID-19 |
title_sort | supercomputing pipelines search for therapeutics against covid-19 |
topic | Theme Article: Computational Science in the Fight against Covid-19, Part II |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280802/ https://www.ncbi.nlm.nih.gov/pubmed/35939280 http://dx.doi.org/10.1109/MCSE.2020.3036540 |
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