PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins

被引:38
作者
Bigelow, Henry
Rost, Burkhard
机构
[1] Columbia Univ, Dept Biochem & Mol Biophys, CUBIC, New York, NY 10032 USA
[2] Columbia Univ, Ctr Computat Biol & Bioinformat C2B2, New York, NY 10032 USA
[3] NE Struct Genom Ctr NESG, Irvine Canc Ctr, New York, NY 10032 USA
关键词
D O I
10.1093/nar/gkl262
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually contains a membrane barrel, and a four-state per-residue labeling of upward- and downward-facing strands, periplasmic hairpins and extracellular loops. While most users submit individual proteins known to contain TMBs, some groups submit entire proteomes to screen for potential TMBs. Response time is about 4 min for a 500-residue protein. PROFtmb is a profile-based Hidden Markov Model (HMM) with an architecture mirroring the structure of TMBs. The per-residue accuracy on the 8-fold cross-validated testing set is 86% while whole-protein discrimination accuracy was 70 at 60% coverage. The PROFtmb web server includes all source code, training data and whole-proteome predictions from 78 Gram-negative bacterial genomes and is available freely and without registration at http://rostlab.org/services/proftmb.
引用
收藏
页码:W186 / W188
页数:3
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