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TMBpro: secondary structure, β-contact and tertiary structure prediction of transmembrane β-barrel proteins
Author(s) -
Arlo Randall,
Jianlin Cheng,
Michael J. Sweredoski,
Pierre Baldi
Publication year - 2007
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/btm548
Subject(s) - protein secondary structure , transmembrane protein , protein tertiary structure , transmembrane domain , matthews correlation coefficient , homology modeling , membrane protein , computational biology , protein structure , biological system , computer science , chemistry , biophysics , biology , amino acid , membrane , biochemistry , artificial intelligence , enzyme , receptor , support vector machine
Transmembrane beta-barrel (TMB) proteins are embedded in the outer membranes of mitochondria, Gram-negative bacteria and chloroplasts. These proteins perform critical functions, including active ion-transport and passive nutrient intake. Therefore, there is a need for accurate prediction of secondary and tertiary structure of TMB proteins. Traditional homology modeling methods, however, fail on most TMB proteins since very few non-homologous TMB structures have been determined. Yet, because TMB structures conform to specific construction rules that restrict the conformational space drastically, it should be possible for methods that do not depend on target-template homology to be applied successfully.

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