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TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them
SUMMARY: Information regarding pathways through voids in biomolecules and their roles in ligand transport is critical to our understanding of the function of many biomolecules. Recently, the advent of high-throughput molecular dynamics simulations has enabled the study of these pathways, and of rare...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896600/ https://www.ncbi.nlm.nih.gov/pubmed/34971366 http://dx.doi.org/10.1093/bioinformatics/btab872 |
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author | Brezovsky, Jan Thirunavukarasu, Aravind Selvaram Surpeta, Bartlomiej Sequeiros-Borja, Carlos Eduardo Mandal, Nishita Sarkar, Dheeraj Kumar Dongmo Foumthuim, Cedrix J Agrawal, Nikhil |
author_facet | Brezovsky, Jan Thirunavukarasu, Aravind Selvaram Surpeta, Bartlomiej Sequeiros-Borja, Carlos Eduardo Mandal, Nishita Sarkar, Dheeraj Kumar Dongmo Foumthuim, Cedrix J Agrawal, Nikhil |
author_sort | Brezovsky, Jan |
collection | PubMed |
description | SUMMARY: Information regarding pathways through voids in biomolecules and their roles in ligand transport is critical to our understanding of the function of many biomolecules. Recently, the advent of high-throughput molecular dynamics simulations has enabled the study of these pathways, and of rare transport events. However, the scale and intricacy of the data produced requires dedicated tools in order to conduct analyses efficiently and without excessive demand on users. To fill this gap, we developed the TransportTools, which allows the investigation of pathways and their utilization across large, simulated datasets. TransportTools also facilitates the development of custom-made analyses. AVAILABILITY AND IMPLEMENTATION: TransportTools is implemented in Python3 and distributed as pip and conda packages. The source code is available at https://github.com/labbit-eu/transport_tools. Data are available in a repository and can be accessed via a link: https://doi.org/10.5281/zenodo.5642954. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8896600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88966002022-03-07 TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them Brezovsky, Jan Thirunavukarasu, Aravind Selvaram Surpeta, Bartlomiej Sequeiros-Borja, Carlos Eduardo Mandal, Nishita Sarkar, Dheeraj Kumar Dongmo Foumthuim, Cedrix J Agrawal, Nikhil Bioinformatics Applications Notes SUMMARY: Information regarding pathways through voids in biomolecules and their roles in ligand transport is critical to our understanding of the function of many biomolecules. Recently, the advent of high-throughput molecular dynamics simulations has enabled the study of these pathways, and of rare transport events. However, the scale and intricacy of the data produced requires dedicated tools in order to conduct analyses efficiently and without excessive demand on users. To fill this gap, we developed the TransportTools, which allows the investigation of pathways and their utilization across large, simulated datasets. TransportTools also facilitates the development of custom-made analyses. AVAILABILITY AND IMPLEMENTATION: TransportTools is implemented in Python3 and distributed as pip and conda packages. The source code is available at https://github.com/labbit-eu/transport_tools. Data are available in a repository and can be accessed via a link: https://doi.org/10.5281/zenodo.5642954. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-12-31 /pmc/articles/PMC8896600/ /pubmed/34971366 http://dx.doi.org/10.1093/bioinformatics/btab872 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Brezovsky, Jan Thirunavukarasu, Aravind Selvaram Surpeta, Bartlomiej Sequeiros-Borja, Carlos Eduardo Mandal, Nishita Sarkar, Dheeraj Kumar Dongmo Foumthuim, Cedrix J Agrawal, Nikhil TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
title | TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
title_full | TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
title_fullStr | TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
title_full_unstemmed | TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
title_short | TransportTools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
title_sort | transporttools: a library for high-throughput analyses of internal voids in biomolecules and ligand transport through them |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896600/ https://www.ncbi.nlm.nih.gov/pubmed/34971366 http://dx.doi.org/10.1093/bioinformatics/btab872 |
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