Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/nar/gkl262 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
bacterial genome,cross validation,hidden markov model,source code | Beta barrel,Membrane protein,Periplasmic space,Biology,Transmembrane protein,Proteome,Bioinformatics,Computational biology,Genetics,Hidden Markov model,Bacterial genome size,Web server | Journal |
Volume | Issue | ISSN |
34 | Web Server issue | 0305-1048 |
Citations | PageRank | References |
14 | 0.74 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry Bigelow | 1 | 27 | 1.62 |
| Burkhard Rost | 2 | 795 | 88.14 |