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Biobox: a toolbox for biomolecular modelling
MOTIVATION: The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software reimplementing common tasks, and requiring the integration of diverse software libraries. RESULTS: We present Biobox, a Python-based toolbox facilitating the impl...
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/PMC8796382/ https://www.ncbi.nlm.nih.gov/pubmed/34791029 http://dx.doi.org/10.1093/bioinformatics/btab785 |
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author | Rudden, Lucas S P Musson, Samuel C Benesch, Justin L P Degiacomi, Matteo T |
author_facet | Rudden, Lucas S P Musson, Samuel C Benesch, Justin L P Degiacomi, Matteo T |
author_sort | Rudden, Lucas S P |
collection | PubMed |
description | MOTIVATION: The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software reimplementing common tasks, and requiring the integration of diverse software libraries. RESULTS: We present Biobox, a Python-based toolbox facilitating the implementation of biomolecular modelling methods. AVAILABILITY AND IMPLEMENTATION: Biobox is freely available on https://github.com/degiacom/biobox, along with its API and interactive Jupyter notebook tutorials. |
format | Online Article Text |
id | pubmed-8796382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87963822022-01-31 Biobox: a toolbox for biomolecular modelling Rudden, Lucas S P Musson, Samuel C Benesch, Justin L P Degiacomi, Matteo T Bioinformatics Applications Notes MOTIVATION: The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software reimplementing common tasks, and requiring the integration of diverse software libraries. RESULTS: We present Biobox, a Python-based toolbox facilitating the implementation of biomolecular modelling methods. AVAILABILITY AND IMPLEMENTATION: Biobox is freely available on https://github.com/degiacom/biobox, along with its API and interactive Jupyter notebook tutorials. Oxford University Press 2021-11-15 /pmc/articles/PMC8796382/ /pubmed/34791029 http://dx.doi.org/10.1093/bioinformatics/btab785 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Rudden, Lucas S P Musson, Samuel C Benesch, Justin L P Degiacomi, Matteo T Biobox: a toolbox for biomolecular modelling |
title | Biobox: a toolbox for biomolecular modelling |
title_full | Biobox: a toolbox for biomolecular modelling |
title_fullStr | Biobox: a toolbox for biomolecular modelling |
title_full_unstemmed | Biobox: a toolbox for biomolecular modelling |
title_short | Biobox: a toolbox for biomolecular modelling |
title_sort | biobox: a toolbox for biomolecular modelling |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796382/ https://www.ncbi.nlm.nih.gov/pubmed/34791029 http://dx.doi.org/10.1093/bioinformatics/btab785 |
work_keys_str_mv | AT ruddenlucassp bioboxatoolboxforbiomolecularmodelling AT mussonsamuelc bioboxatoolboxforbiomolecularmodelling AT beneschjustinlp bioboxatoolboxforbiomolecularmodelling AT degiacomimatteot bioboxatoolboxforbiomolecularmodelling |