URL: http://noble.gs.washington.edu/proj/philius/
Proper Citation: Philius (RRID:SCR_004625)
Description: Web server that predicts protein transmembrane topology and signal peptides. Hidden Markov models (HMM) have been successfully applied to the tasks of transmembrane protein topology prediction and signal peptide prediction. They expand upon this work by making use of the more powerful class of dynamic Bayesian networks (DBN). Their model, Philius, is inspired by a previously published HMM, Phobius, and combines a signal peptide sub-model with a transmembrane sub-model. They introduce a two-stage DBN decoder which combines the power of posterior decoding with the grammar constraints of Viterbi-style decoding. Philius also provides protein type, segment, and topology confidence metrics to aid in the interpretation of the predictions.
Abbreviations: Philius
Resource Type: production service resource, analysis service resource, data analysis service, software resource, service resource
Defining Citation: PMID:18989393
Keywords: hidden markov model, protein type, segment, topology, confidence metric, prediction, protein, transmembrane, signal peptide, peptide, bio.tools
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