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Open AccessHighly AccessResearch article

Prediction of enzyme function based on 3D templates of evolutionarily important amino acids

David M Kristensen1,2* email, R Matthew Ward1,2* email, Andreas Martin Lisewski1 email, Serkan Erdin1 email, Brian Y Chen3 email, Viacheslav Y Fofanov4 email, Marek Kimmel4 email, Lydia E Kavraki2,3,5 email and Olivier Lichtarge1,2 email

Department of Molecular and Human Genetics, Biophysics, Baylor College of Medicine, Houston, TX 77030, USA

Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA

Department of Computer Science, Rice University, Houston, Texas 77030, USA

Department of Statistics, Rice University, Houston, Texas 77030, USA

Department of Bioengineering, Rice University, Houston, Texas 77030, USA

author email corresponding author email* Contributed equally

BMC Bioinformatics 2008, 9:17doi:10.1186/1471-2105-9-17

Published: 11 January 2008

Additional files

Additional file 1:

Supplementary material (Supplementary Tables S1–4) is provided as an HTML-formatted webpage. Supplementary Table S1: PSI Set voting as sequence identity threshold of matched target pairs decreases. Supplementary Table S2: Training Set. Supplementary Table S3: PDB Set. Supplementary Table S4: PSI Set.

Format: HTM Size: 310KB Download file


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