title: SIGLOCPRED: an algorithm to predict bacterial signal peptides and OMPS.
abstract: There is a growing interest in Biological investigation to determine the location of proteins, to identify new potentially accessible drug targets. Signal peptide directs the transport of the protein to its location. Bacterial OMPs are essential for their survival in the host organism. SIGLOCPRED a signal peptide predictor for the bacterial proteins as well as OMP prediction has been developed. The signal peptide prediction is done based on the influence of the flanking residues on the signal peptide cleavage. A dataset of proteins with confirmed outer membrane location has being created, and the probable OMP polypeptide sequence is predicted. Since the algorithm uses confirmed datasets the prediction is more reliable and efficient. SIGLOCPRED is as efficient as many of the existing signal peptide predictors and can also predict OMPs in addition.
authors.affiliation: School of Biotechnology and Health Science, Karunya University, INDIA.
authors.forename: Premnath
authors.initials: P
authors.lastname: Dhanaraj
authors.forename: Jannet Vennila
authors.initials: JV
authors.lastname: James
authors.forename: Patrick Gomez
authors.initials: PG
authors.lastname: Michael
authors.forename: Indiraleka
authors.initials: I
authors.lastname: Muthiah