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

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References in zbMATH (referenced in 4 articles )

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  1. Hu, Jing; Yan, Changhui: A method for discovering transmembrane beta-barrel proteins in Gram-negative bacterial proteomes (2008)
  2. Ou, Yu-Yen; Gromiha, M. Michael; Chen, Shu-An; Suwa, Makiko: TMBETADISC-RBF: discrimination of (\beta)-barrel membrane proteins using RBF networks and PSSM profiles (2008)
  3. Yan, Changhui; Hu, Jing; Wang, Yingfeng: Discrimination of outer membrane proteins with improved performance (2008) ioport
  4. Bigelow, Henry R.; Rost, Burkhard: Proftmb: a web server for predicting bacterial transmembrane beta barrel proteins. (2006) ioport