The Structural Bioinformatics Library: modeling in biomolecular science and beyond

Frédéric Cazals 1 Tom Dreyfus 1
1 ABS - Algorithms, Biology, Structure
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Motivation: Software in structural bioinformatics has mainly been application driven. To favor practitioners seeking off-the-shelf applications, but also developers seeking advanced building blocks to develop novel applications, we undertook the design of the Structural Bioinformatics Library (SBL, http://sbl., a generic C++/python cross-platform software library targeting complex problems in structural bioinformatics. Its tenet is based on a modular design offering a rich and versatile framework allowing the development of novel applications requiring well specified complex operations, without compromising robustness and performances. Results: The SBL involves four software components (1-4 thereafter). For end-users, the SBL provides ready to use, state-of-the-art (1) applications to handle molecular models defined by unions of balls, to deal with molecular flexibility, to model macro-molecular assemblies. These tools can also be combined to tackle integrated analysis problems. For developers, the SBL provides a broad C++ toolbox with modular design, involving core (2) algorithms, (3) biophysical models, and (4) modules, the latter being especially suited to develop novel applications. The SBL comes with a thorough documentation consisting of user and reference manuals, and a bugzilla platform to handle community feedback. Availability: The SBL is available from
Type de document :
[Research Report] RR-8957, Inria. 2016
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Contributeur : Frederic Cazals <>
Soumis le : mercredi 12 octobre 2016 - 17:49:39
Dernière modification le : jeudi 11 janvier 2018 - 16:48:45
Document(s) archivé(s) le : vendredi 13 janvier 2017 - 12:22:00


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  • HAL Id : hal-01379635, version 1



Frédéric Cazals, Tom Dreyfus. The Structural Bioinformatics Library: modeling in biomolecular science and beyond. [Research Report] RR-8957, Inria. 2016. 〈hal-01379635〉



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