Volume 70, Issue 1 pp. 54-62
Research Article

A comparison of SCOP and CATH with respect to domain–domain interactions

Emily R. Jefferson

Emily R. Jefferson

University of Dundee, School of Life Sciences, Dow Street, Dundee, DD1 5EH Scotland, United Kingdom

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Thomas P. Walsh

Thomas P. Walsh

University of Dundee, School of Life Sciences, Dow Street, Dundee, DD1 5EH Scotland, United Kingdom

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Geoffrey J. Barton

Corresponding Author

Geoffrey J. Barton

University of Dundee, School of Life Sciences, Dow Street, Dundee, DD1 5EH Scotland, United Kingdom

School of Life Sciences, University of Dundee, Dow Street, Dundee, DD1 5EH, Scotland, UK===Search for more papers by this author
First published: 16 July 2007
Citations: 9

Abstract

The analysis and prediction of protein–protein interaction sites from structural data are restricted by the limited availability of structural complexes that represent the complete protein–protein interaction space. The domain classification schemes CATH and SCOP are normally used independently in the analysis and prediction of protein domain–domain interactions. In this article, the effect of different domain classification schemes on the number and type of domain–domain interactions observed in structural data is systematically evaluated for the SCOP and CATH hierarchies. Although there is a large overlap in domain assignments between SCOP and CATH, 23.6% of CATH interfaces had no SCOP equivalent and 37.3% of SCOP interfaces had no CATH equivalent in a nonredundant set. Therefore, combining both classifications gives an increase of between 23.6 and 37.3% in domain–domain interfaces. It is suggested that if possible, both domain classification schemes should be used together, but if only one is selected, SCOP provides better coverage than CATH. Employing both SCOP and CATH reduces the false negative rate of predictive methods, which employ homology matching to structural data to predict protein–protein interaction by an estimated 6.5%. Proteins 2008. © 2007 Wiley-Liss, Inc.

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