creators_name: Chauhan, Jagat S
creators_name: Mishra, Nitish K
creators_name: Raghava, G.P.S.
type: article
datestamp: 2011-12-08 19:17:51
lastmod: 2011-12-08 19:17:51
metadata_visibility: show
title: Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.
ispublished: pub
subjects: QH301
full_text_status: public
note: OPEN ACCESS
abstract: These results show that PSSM based method performs better than single sequence based method. The prediction models based on dipeptides or tripeptides are more accurate than the traditional model based on single residue. A web server "GTPBinder" http://www.imtech.res.in/raghava/gtpbinder/ based on above models has been developed for predicting GTP interacting residues in a protein.
date: 2010
date_type: published
publication: BMC bioinformatics
volume: 11
publisher: BIomedcentral
pagerange: 301
refereed: TRUE
issn: 1471-2105
official_url: http://www.biomedcentral.com/content/pdf/1471-2105-11-301.pdf
related_url_url: http://www.biomedcentral.com/content/pdf/1471-2105-11-301.pdf
related_url_type: pub
citation:   Chauhan, Jagat S and Mishra, Nitish K and Raghava, G.P.S.  (2010) Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.  BMC bioinformatics, 11.  p. 301.  ISSN 1471-2105     
document_url: http://crdd.osdd.net/open/514/1/raghava10.7.pdf