Reasearch Awards nomination

Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Highly Accessed Research article

Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information

Bharat Panwar, Sudheer Gupta and Gajendra P S Raghava*

Author Affiliations

Bioinformatics Centre, Institute of Microbial Technology (CSIR), Sector 39A, Chandigarh, India

For all author emails, please log on.

BMC Bioinformatics 2013, 14:44  doi:10.1186/1471-2105-14-44

Published: 7 February 2013

Additional files

Additional file 1: Figure S1–S5:

The TSL representation of sliding patterns (17-residues length) of ATP, GTP, NAD, FAD and mannose. The central residue (9th position) is showing interacting (positive) and non-interacting (negative) residues. Figure S6–S9. The TSL representation of sliding patterns (17-residues length) for prediction of VIRs, VAIRs, VBIRs and PLPIRs. The central residue (9th position) is showing VIRs (positive) and non-VIRs (negative). Table S1. SVM-based prediction performances of surface accessibility (SA) and Hybrid (PSSM + SA) approaches for four different types of prediction methods on both realistic and balanced datasets. The values of standard errors are also given with performances. Table S2. SVM-based prediction performances (at the default threshold) of PSSM approach; according to their total number PSI-BLAST hits of different independent datasets. Table S3. SVM-based prediction performances (at the default threshold) of binary approach on the different independent datasets.

Format: DOCX Size: 179KB Download file

Open Data