Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins.

Hayat, Sikander; Peters, Christoph; Shu, Nanjiang; Tsirigos, Konstantinos D; Elofsson, Arne · Bioinformatics · 2016

basic_science · Level V

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Abstract

: 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. BOCTOPUS2 webserver along with full dataset and source code is available at http://boctopus.bioinfo.se/ : arne@bioinfo.se Supplementary data are available at Bioinformatics online.

Medical subject headings