z-logo
open-access-imgOpen Access
Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins
Author(s) -
Sikander Hayat,
Christoph Peters,
Nanjiang Shu,
Konstantinos D. Tsirigos,
Arne Elofsson
Publication year - 2016
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/btw025
Subject(s) - transmembrane protein , barrel (horology) , topology (electrical circuits) , transmembrane domain , computer science , membrane topology , benchmark (surveying) , protein structure prediction , protein structure , biology , mathematics , amino acid , engineering , genetics , biochemistry , mechanical engineering , receptor , geodesy , combinatorics , geography
: Accurate topology prediction of transmembrane β-barrels is still an open question. Here, we present BOCTOPUS2, an improved topology prediction method for transmembrane β-barrels that can also identify the barrel domain, predict the topology and identify the orientation of residues in transmembrane β-strands. The major novelty of BOCTOPUS2 is the use of the dyad-repeat pattern of lipid and pore facing residues observed in transmembrane β-barrels. In a cross-validation test on a benchmark set of 42 proteins, BOCTOPUS2 predicts the correct topology in 69% of the proteins, an improvement of more than 10% over the best earlier method (BOCTOPUS) and in addition, it produces significantly fewer erroneous predictions on non-transmembrane β-barrel proteins.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom