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Open Access Highly Accessed Research article

High precision multi-genome scale reannotation of enzyme function by EFICAz

Adrian K Arakaki1, Weidong Tian2 and Jeffrey Skolnick1*

Author Affiliations

1 Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30318, USA

2 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusett 02115, USA

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BMC Genomics 2006, 7:315  doi:10.1186/1471-2164-7-315

Published: 13 December 2006

Additional files

Additional file 1:

Enzyme content. Excel spreadsheet containing number of proteins, number of predicted enzymes and fraction of enzymes for the 245 species analyzed in this study.

Format: XLS Size: 85KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 2:

Enzymes types recognized by EFICAz. Excel spreadsheet listing the 2,061 and the 203 enzyme types recognized by version 5.0 of EFICAz, described at the level of four-field or first three-field EC number, respectively.

Format: XLS Size: 107KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data