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This article is part of the supplement: Proceedings of the European Conference on Computational Biology (ECCB) 2010 Workshop: Annotation, interpretation and management of mutations (AIMM)

Open Access Research

Improving the prediction of disease-related variants using protein three-dimensional structure

Emidio Capriotti13* and Russ B Altman12

Author Affiliations

1 Department of Bioengineering, Stanford University, Stanford CA, USA

2 Department Genetics, Stanford University, Stanford CA, USA

3 Department of Mathematics and Computer Science, University of Balearic Islands, Palma de Mallorca, Spain

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BMC Bioinformatics 2011, 12(Suppl 4):S3  doi:10.1186/1471-2105-12-S4-S3

Published: 5 July 2011

Additional files

Additional file 1:

List of Single Amino Acid Polymorphisms in our datasets.

Format: TXT Size: 419KB Download file

Open Data

Additional file 2:

Log-odd scores for lost residues pair interactions.

Format: TXT Size: 3KB Download file

Open Data

Additional file 3:

Log-odd scores for gained residues pair interactions.

Format: TXT Size: 3KB Download file

Open Data