Show simple item record Gohl, Patrick Bonet Martínez, Jaume, 1982- Fornés Crespo, Oriol, 1983- Planas Iglesias, Joan, 1980- Fernández Fuentes, Narcís Oliva Miguel, Baldomero 2023-12-12T06:58:04Z 2023-12-12T06:58:04Z 2023
dc.identifier.citation Gohl P, Bonet J, Fornes O, Planas-Iglesias J, Fernandez-Fuentes N, Oliva B. SBILib: a handle for protein modeling and engineering. Bioinformatics. 2023 Oct 3;39(10):btad613. DOI: 10.1093/bioinformatics/btad613
dc.identifier.issn 1367-4803
dc.description.abstract Summary: The SBILib Python library provides an integrated platform for the analysis of macromolecular structures and interactions. It combines simple 3D file parsing and workup methods with more advanced analytical tools. SBILib includes modules for macromolecular interactions, loops, super-secondary structures, and biological sequences, as well as wrappers for external tools with which to integrate their results and facilitate the comparative analysis of protein structures and their complexes. The library can handle macromolecular complexes formed by proteins and/or nucleic acid molecules (i.e. DNA and RNA). It is uniquely capable of parsing and calculating protein super-secondary structure and loop geometry. We have compiled a list of example scenarios which SBILib may be applied to and provided access to these within the library. Availability and implementation: SBILib is made available on Github at
dc.description.sponsorship This work was supported by grants [PID2020-113203RB-I00] and “Unidad de Excelencia María de Maeztu” [ref: CEX2018-000792-M], funded by the MCIN and the AEI [DOI: 10.13039/501100011033]. J.P.-I. acknowledges support from the Czech Ministry of Education [EXCELES LX22NPO5102].
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Oxford University Press
dc.relation.ispartof Bioinformatics. 2023 Oct 3;39(10):btad613
dc.rights © The Author(s) 2023. 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.
dc.subject.other Macromolècules
dc.subject.other Bioinformàtica
dc.title SBILib: a handle for protein modeling and engineering
dc.type info:eu-repo/semantics/article
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-113203RB-I00
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/CEX2018-000792-M
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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