BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Research article

Improved residue contact prediction using support vector machines and a large feature set

Jianlin Cheng1* and Pierre Baldi2

Author Affiliations

1 School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2362, USA

2 School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92617, USA

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BMC Bioinformatics 2007, 8:113 doi:10.1186/1471-2105-8-113

Published: 2 April 2007

Additional files

Additional file 1:

The main Perl script to predict a contact map. It is a text file that can be viewed by any text viewer/editor.

Format: PL Size: 5KB Download file

Open Data

Additional file 2:

The Perl script to generate input features for support vector machine. It is a text file that can be viewed by any text viewer/editor.

Format: PL Size: 13KB Download file

Open Data

Additional file 3:

The Perl script to compute pairwise contact potentials. It is a text file that can be viewed by any text viewer/editor.

Format: PL Size: 17KB Download file

Open Data