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Title

SIGLOCPRED: an algorithm to predict bacterial signal peptides and OMPS

 

Authors

Premnath Dhanaraj*, Jannet vennila James, Patrick Gomez Michael & Indiraleka Muthiah

 

Affiliation

School of Biotechnology and Health Science, Karunya University, INDIA.

 

Email

prems.bioinfo@gmail.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received August 21, 2012; Accepted September 09, 2012; Published October 13, 2012

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.

 

Keywords

OMP, Signal Peptide, Flanking residues

 

Citation

Dhanaraj et al. Bioinformation 8(20): 970-973 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.