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MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory
MOTIVATION: Since the advent of ColabFold, numerous software packages have been provided with Google Colaboratory-compatible ipynb files, allowing users to effortlessly test and reproduce results without the need for local installation or configuration. MEGADOCK, a protein–protein docking tool, is p...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515421/ https://www.ncbi.nlm.nih.gov/pubmed/37737185 http://dx.doi.org/10.1186/s13104-023-06505-w |
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author | Ohue, Masahito |
author_facet | Ohue, Masahito |
author_sort | Ohue, Masahito |
collection | PubMed |
description | MOTIVATION: Since the advent of ColabFold, numerous software packages have been provided with Google Colaboratory-compatible ipynb files, allowing users to effortlessly test and reproduce results without the need for local installation or configuration. MEGADOCK, a protein–protein docking tool, is particularly well-suited for Google Colaboratory due to its lightweight computations and GPU acceleration capabilities. To increase accessibility and promote widespread use, it is crucial to provide a computing environment compatible with Google Colaboratory. RESULTS: In this study, we report the development of a Google Colaboratory environment for running our protein–protein docking software, MEGADOCK. We provide a comprehensive ipynb file, including the compilation of MEGADOCK with the FFTW library installation on Colaboratory, the introduction of related tools using PyPI/apt, and the execution and visualization of docking structures. This streamlined environment enables users to visualize docking structures with just one click. The code is available under a CC-BY NC 4.0 license from https://github.com/ohuelab/MEGADOCK-on-Colab. |
format | Online Article Text |
id | pubmed-10515421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105154212023-09-23 MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory Ohue, Masahito BMC Res Notes Research Note MOTIVATION: Since the advent of ColabFold, numerous software packages have been provided with Google Colaboratory-compatible ipynb files, allowing users to effortlessly test and reproduce results without the need for local installation or configuration. MEGADOCK, a protein–protein docking tool, is particularly well-suited for Google Colaboratory due to its lightweight computations and GPU acceleration capabilities. To increase accessibility and promote widespread use, it is crucial to provide a computing environment compatible with Google Colaboratory. RESULTS: In this study, we report the development of a Google Colaboratory environment for running our protein–protein docking software, MEGADOCK. We provide a comprehensive ipynb file, including the compilation of MEGADOCK with the FFTW library installation on Colaboratory, the introduction of related tools using PyPI/apt, and the execution and visualization of docking structures. This streamlined environment enables users to visualize docking structures with just one click. The code is available under a CC-BY NC 4.0 license from https://github.com/ohuelab/MEGADOCK-on-Colab. BioMed Central 2023-09-22 /pmc/articles/PMC10515421/ /pubmed/37737185 http://dx.doi.org/10.1186/s13104-023-06505-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Ohue, Masahito MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory |
title | MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory |
title_full | MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory |
title_fullStr | MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory |
title_full_unstemmed | MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory |
title_short | MEGADOCK-on-Colab: an easy-to-use protein–protein docking tool on Google Colaboratory |
title_sort | megadock-on-colab: an easy-to-use protein–protein docking tool on google colaboratory |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515421/ https://www.ncbi.nlm.nih.gov/pubmed/37737185 http://dx.doi.org/10.1186/s13104-023-06505-w |
work_keys_str_mv | AT ohuemasahito megadockoncolabaneasytouseproteinproteindockingtoolongooglecolaboratory |