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Frag’r’Us: knowledge-based sampling of protein backbone conformations for de novo structure-based protein design
Author(s) -
Jaume Bonet,
Joan Segura,
Joan Planas-Iglesias,
Baldomero Oliva,
Narcís FernándezFuentes
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu129
Subject(s) - computer science , protein structure , web server , fragment (logic) , computational biology , protein structure database , function (biology) , sampling (signal processing) , chemistry , algorithm , biology , world wide web , genetics , sequence database , biochemistry , the internet , filter (signal processing) , gene , computer vision
The remodeling of short fragment(s) of the protein backbone to accommodate new function(s), fine-tune binding specificities or change/create novel protein interactions is a common task in structure-based computational design. Alternative backbone conformations can be generated de novo or by redeploying existing fragments extracted from protein structures i.e. knowledge-based. We present Frag'r'Us, a web server designed to sample alternative protein backbone conformations in loop regions. The method relies on a database of super secondary structural motifs called smotifs. Thus, sampling of conformations reflects structurally feasible fragments compiled from existing protein structures. Availability and implementation Frag'r'Us has been implemented as web application and is available at http://www.bioinsilico.org/FRAGRUS.

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