ICAR Research Data Repository for Knowledge Management
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information.
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| Creator |
Chauhan, Jagat S
Mishra, Nitish K Raghava, G.P.S. |
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| Subject |
QH301 Biology
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| 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.
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| Publisher |
BIomedcentral
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| Date |
2010
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| 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 |
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| Relation |
http://www.biomedcentral.com/content/pdf/1471-2105-11-301.pdf
http://crdd.osdd.net/open/514/ |
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