PSLpred: prediction of subcellular localization of bacterial proteins.

Bhasin, Manoj and Garg, Aarti and Raghava, G.P.S. (2005) PSLpred: prediction of subcellular localization of bacterial proteins. Bioinformatics (Oxford, England), 21 (10). pp. 2522-4. ISSN 1367-4803

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Abstract

SUMMARY: We developed a web server PSLpred for predicting subcellular localization of gram-negative bacterial proteins with an overall accuracy of 91.2%. PSLpred is a hybrid approach-based method that integrates PSI-BLAST and three SVM modules based on compositions of residues, dipeptides and physico-chemical properties. The prediction accuracies of 90.7, 86.8, 90.3, 95.2 and 90.6% were attained for cytoplasmic, extracellular, inner-membrane, outer-membrane and periplasmic proteins, respectively. Furthermore, PSLpred was able to predict approximately 74% of sequences with an average prediction accuracy of 98% at RI = 5. AVAILABILITY: PSLpred is available at http://www.imtech.res.in/raghava/pslpred/

Item Type:	Article
Additional Information:	Copyright of this article belongs to OUP. Supplementary information http://www.imtech.res.in/raghava/pslpred/supl.html
Subjects:	Q Science > QR Microbiology
Depositing User:	Dr. K.P.S.Sengar
Date Deposited:	08 Jan 2012 05:43
Last Modified:	08 Jan 2012 05:43
URI:	http://crdd.osdd.net/open/id/eprint/190

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