BMC Bioinformatics

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Open Access Highly Access Research article

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

Jagat S Chauhan, Nitish K Mishra and Gajendra PS Raghava*

Author Affiliations

Bioinformatics Centre, Institute of Microbial Technology (IMTECH), Sector 39-A, Chandigarh -160036, India

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BMC Bioinformatics 2010, 11:301 doi:10.1186/1471-2105-11-301

Published: 3 June 2010

Additional files

Additional file 1:

Supplemental tables and figures. Figure S1: Methodology of selection of different types of patterns (single GTP interacting residue, GTP interacting dipeptide and GTP interacting tripeptide). Table S1 to S6: The results of SVM on main dataset using different type of patterns. (40% sequence identity datasets). Table S7 to S12: The results of SVM on realistic dataset using different type of patterns. (40% sequence identity datasets).

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