creators_name: Verma, Ruchi
creators_name: Tiwari, Ajit
creators_name: Kaur, Sukhwinder
creators_name: Varshney, Grish C
creators_name: Raghava, G.P.S.
type: article
datestamp: 2011-12-08 19:40:41
lastmod: 2011-12-08 19:40:41
metadata_visibility: show
title: Identification of proteins secreted by malaria parasite into erythrocyte using SVM and PSSM profiles.
ispublished: pub
subjects: QH301
full_text_status: public
note: © 2008 Verma et al; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
abstract: This study demonstrates that secretory proteins have different residue composition than non-secretory proteins. Thus, it is possible to predict secretory proteins from its residue composition-using machine learning technique. The multiple sequence alignment provides more information than sequence itself. Thus performance of method based on PSSM profile is more accurate than method based on sequence composition. A web server PSEApred has been developed for predicting secretory proteins of malaria parasites,the URL can be found in the Availability and requirements section.
date: 2008
date_type: published
publication: BMC bioinformatics
volume: 9
publisher: BIomedcentral
pagerange: 1-11
refereed: TRUE
issn: 1471-2105
official_url: http://www.biomedcentral.com/1471-2105/9/201/
related_url_url: http://www.biomedcentral.com/1471-2105/9/201/
related_url_type: pub
citation:   Verma, Ruchi and Tiwari, Ajit and Kaur, Sukhwinder and Varshney, Grish C and Raghava, G.P.S.  (2008) Identification of proteins secreted by malaria parasite into erythrocyte using SVM and PSSM profiles.  BMC bioinformatics, 9.  pp. 1-11.  ISSN 1471-2105     
document_url: http://crdd.osdd.net/open/604/1/raghava08.1.pdf