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warpDOCK: Large-Scale Virtual Drug Discovery Using Cloud Infrastructure
[Image: see text] warpDOCK is an open-source pipeline for virtual small-molecule drug discovery using cloud infrastructure. warpDOCK is designed from the ground up for the Oracle Cloud Infrastructure (OCI), enabling harmonious parallelism of docking calculations over thousands to hundreds of thousan...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433467/ https://www.ncbi.nlm.nih.gov/pubmed/37599921 http://dx.doi.org/10.1021/acsomega.3c02249 |
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author | McDougal, Daniel P. Rajapaksha, Harinda Pederick, Jordan L. Bruning, John B. |
author_facet | McDougal, Daniel P. Rajapaksha, Harinda Pederick, Jordan L. Bruning, John B. |
author_sort | McDougal, Daniel P. |
collection | PubMed |
description | [Image: see text] warpDOCK is an open-source pipeline for virtual small-molecule drug discovery using cloud infrastructure. warpDOCK is designed from the ground up for the Oracle Cloud Infrastructure (OCI), enabling harmonious parallelism of docking calculations over thousands to hundreds of thousands of cores. This enables cost-effective sampling of ultra-large chemical libraries, potentially reducing the time to identify lead drug candidates by orders of magnitude. By utilizing established docking software and automating each step of the process, warpDOCK makes large-scale virtual screening accessible to a broad user group. The warpDOCK code can be found at the BruningLab GitHub repository (https://github.com/BruningLab/warpDOCK). |
format | Online Article Text |
id | pubmed-10433467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104334672023-08-18 warpDOCK: Large-Scale Virtual Drug Discovery Using Cloud Infrastructure McDougal, Daniel P. Rajapaksha, Harinda Pederick, Jordan L. Bruning, John B. ACS Omega [Image: see text] warpDOCK is an open-source pipeline for virtual small-molecule drug discovery using cloud infrastructure. warpDOCK is designed from the ground up for the Oracle Cloud Infrastructure (OCI), enabling harmonious parallelism of docking calculations over thousands to hundreds of thousands of cores. This enables cost-effective sampling of ultra-large chemical libraries, potentially reducing the time to identify lead drug candidates by orders of magnitude. By utilizing established docking software and automating each step of the process, warpDOCK makes large-scale virtual screening accessible to a broad user group. The warpDOCK code can be found at the BruningLab GitHub repository (https://github.com/BruningLab/warpDOCK). American Chemical Society 2023-07-31 /pmc/articles/PMC10433467/ /pubmed/37599921 http://dx.doi.org/10.1021/acsomega.3c02249 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | McDougal, Daniel P. Rajapaksha, Harinda Pederick, Jordan L. Bruning, John B. warpDOCK: Large-Scale Virtual Drug Discovery Using Cloud Infrastructure |
title | warpDOCK: Large-Scale
Virtual Drug Discovery Using
Cloud Infrastructure |
title_full | warpDOCK: Large-Scale
Virtual Drug Discovery Using
Cloud Infrastructure |
title_fullStr | warpDOCK: Large-Scale
Virtual Drug Discovery Using
Cloud Infrastructure |
title_full_unstemmed | warpDOCK: Large-Scale
Virtual Drug Discovery Using
Cloud Infrastructure |
title_short | warpDOCK: Large-Scale
Virtual Drug Discovery Using
Cloud Infrastructure |
title_sort | warpdock: large-scale
virtual drug discovery using
cloud infrastructure |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433467/ https://www.ncbi.nlm.nih.gov/pubmed/37599921 http://dx.doi.org/10.1021/acsomega.3c02249 |
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