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Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.
 
Creator Chauhan, Jagat S
Mishra, Nitish K
Raghava, G.P.S.
 
Subject QH301 Biology
 
Description 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.
 
Publisher BIomedcentral
 
Date 2010
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/514/1/raghava10.7.pdf
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
 
Relation http://www.biomedcentral.com/content/pdf/1471-2105-11-301.pdf
http://crdd.osdd.net/open/514/