TMBpro : Secondary Structure , β-contact , and Tertiary Structure Prediction of Transmembrane β-Barrel Proteins

Content Provider	Semantic Scholar
Author	Randall, Arlo Z. Cheng, Jianlin Sweredoski, Michael J. Baldi, Pierre
Copyright Year	2007
Abstract	Motivation: Transmembrane -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. Results: We develop a suite (TMBpro) of specialized predictors for predicting secondary structure (TMBpro-SS), β-contacts (TMBproCON), and tertiary structure (TMBpro-3D) of transmembrane -barrel proteins. We compare our results to the recent state-of-the-art predictors transFold and PRED-TMBB using their respective benchmark datasets, and leave-one-out-cross-validation. Using the transFold dataset TMBpro predicts secondary structure with per-residue accuracy (Q2) of 77.8%, a correlation coefficient of .54, and TMBpro predicts β-contacts with precision of .65 and recall of .67. Using the PRED-TMBB dataset TMBpro predicts secondary structure with Q2 of 88.3% and a correlation coefficient of .75. All of these performance results exceed previously published results by 4% or more. Working with the PRED-TMBB dataset, TMBpro predicts the tertiary structure of transmembrane segments with RMSD less than 6.0 Å for 9 of 14 proteins. For 6 of 14 predictions, the RMSD is less than 5.0 Å, with a GDT_TS score greater than 60.0. Availability: http://www.igb.uci.edu/servers/psss.html Contact: pfbaldi@ics.uci.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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Language	English
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Content Type	Text
Resource Type	Article