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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...

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Detalles Bibliográficos
Autores principales: Rudden, Lucas S P, Musson, Samuel C, Benesch, Justin L P, Degiacomi, Matteo T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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
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