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URL: http://bioinformatics.biol.uoa.gr/PRED-LIPO/
Proper Citation: PRED-LIPO (RRID:SCR_006187)
Description: A web tool using the Hidden Markov Model method for the prediction of lipoprotein signal peptides of Gram-positive bacteria, trained on a set of 67 experimentally verified lipoproteins. The method outperforms LipoP and the methods based on regular expression patterns, in various data sets containing experimentally characterized lipoproteins, secretory proteins, proteins with an N-terminal TM segment and cytoplasmic proteins. The method is also very sensitive and specific in the detection of secretory signal peptides and in terms of overall accuracy outperforms even SignalP, which is the top-scoring method for the prediction of signal peptides.
Abbreviations: PRED-LIPO
Synonyms: PRED-LIPO: Prediction of Lipoprotein and Secretory Signal Peptides in Gram-positive Bacteria with Hidden Markov Models
Resource Type: data analysis service, service resource, production service resource, analysis service resource
Defining Citation: PMID:19367716
Keywords: hidden markov model, lipoprotein signal peptide, gram-positive bacteria, lipoprotein, prediction, peptide, protein, signal peptide, bio.tools
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University of Athens Biophysics and Bioinformatics Laboratory |
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