BMC Bioinformatics

official impact factor 3.03

Open Access Research article

Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model

Andrew J Bordner1* and Hans D Mittelmann2

Author Affiliations

1 Mayo Clinic, 13400 East Shea Boulevard, Scottsdale, AZ 85259, USA

2 School of Mathematical and Statistical Sciences, Arizona State University, P.O. Box 871804, Tempe, AZ 85287, USA

For all author emails, please log on.

BMC Bioinformatics 2010, 11:41 doi:10.1186/1471-2105-11-41

Published: 20 January 2010

Additional files

Additional file 1:

Detailed description of the algorithm for creating cross-validation data sets with minimal peptide sequence overlap.

Format: PDF Size: 496KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

This zip archive contains tab-separated files with the 5-fold cross-validation sets for 16 different MHC allotypes created for this study and also a separate text file describing the table format.

Format: ZIP Size: 270KB Download file

Open Data

Additional file 3:

Tables S1-S3 present the prediction results for the IEDB benchmark sets from El-Manzawaly et al. 2008 [26]. Prediction accuracies are given for RTA as well as the three prediction methods studied in that paper.

Format: PDF Size: 46KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data