TY - JOUR
T1 - Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins
AU - Hayat, Sikander
AU - Peters, Christoph
AU - Shu, Nanjiang
AU - Tsirigos, Konstantinos D
AU - Elofsson, Arne
N1 - © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: [email protected].
PY - 2016
Y1 - 2016
N2 - UNLABELLED: : 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.AVAILABILITY AND IMPLEMENTATION: BOCTOPUS2 webserver along with full dataset and source code is available at http://boctopus.bioinfo.se/CONTACT: : [email protected] INFORMATION: Supplementary data are available at Bioinformatics online.
AB - UNLABELLED: : 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.AVAILABILITY AND IMPLEMENTATION: BOCTOPUS2 webserver along with full dataset and source code is available at http://boctopus.bioinfo.se/CONTACT: : [email protected] INFORMATION: Supplementary data are available at Bioinformatics online.
KW - Computational Biology
KW - Membrane Proteins/chemistry
KW - Models, Molecular
KW - Programming Languages
KW - Protein Structure, Secondary
U2 - 10.1093/bioinformatics/btw025
DO - 10.1093/bioinformatics/btw025
M3 - Journal article
C2 - 26794316
SN - 1367-4811
VL - 32
SP - 1571
EP - 1573
JO - Bioinformatics (Online)
JF - Bioinformatics (Online)
IS - 10
ER -