SBILib: a handle for protein modeling and engineering

Author:

Gohl Patrick1,Bonet Jaume1ORCID,Fornes Oriol2ORCID,Planas-Iglesias Joan34ORCID,Fernandez-Fuentes Narcís5ORCID,Oliva Baldo1ORCID

Affiliation:

1. Department of Medicine and Life Sciences, SBI-GRIB, Universitat Pompeu Fabra , 08003 Barcelona, Catalonia, Spain

2. Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, University of British Columbia , Vancouver, BC V5Z 4H4, Canada

3. Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University , 625 00 Brno, Czech Republic

4. International Clinical Research Center, St Anne’s University Hospital Brno , 656 916 Brno, Czech Republic

5. Institute of Biological, Environmental and Rural Science, Aberystwyth University , Aberystwyth SY23 3DA, United Kingdom

Abstract

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 https://github.com/structuralbioinformatics/SBILib.

Funder

MCIN

Czech Ministry of Education

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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