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Biobox: a toolbox for biomolecular modelling

Rudden, Lucas S. P. and Musson, Samuel C. and Benesch, Justin L. P. and Degiacomi, Matteo T. (2022) 'Biobox: a toolbox for biomolecular modelling.', Bioinformatics, 38 (4). pp. 1149-1151.


Motivation The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software re-implementing 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 Biobox is freely available on, along with its API and interactive Jupyter notebook tutorials.

Item Type:Article
Full text:(AM) Accepted Manuscript
Available under License - Creative Commons Attribution 4.0.
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Publisher statement:© The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Date accepted:11 November 2021
Date deposited:17 November 2021
Date of first online publication:15 November 2021
Date first made open access:17 November 2021

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