Assessment of predictions submitted for the CASP7 domain prediction category

TitleAssessment of predictions submitted for the CASP7 domain prediction category
Publication TypeJournal Article
Year of Publication2007
AuthorsTress, M., Cheng J., Baldi P., Joo K., Lee J., Seo J. - H., Lee J., Baker D., Chivian D., Kim D., & Ezkurdia I.
Volume69 Suppl 8
Date Published2007
KeywordsCollaborative Publication, Computational Biology, Databases, Protein, Models, Molecular, Protein Folding, Protein Structure, Tertiary, Proteins

This paper details the assessment process and evaluation results for the Critical Assessment of Protein Structure Prediction (CASP7) domain prediction category. Domain predictions were assessed using the Normalized Domain Overlap score introduced in CASP6 and the accuracy of prediction of domain break points. The results of the analysis clearly demonstrate that the best methods are able to make consistently reliable predictions when the target has a structural template, although they are less good when the domain break occurs in a region not covered by a template. The conditions of the experiment meant that it was impossible to draw any conclusions about domain prediction for free modeling targets and it was also difficult to draw many distinctions between the best groups. Two thirds of the targets submitted were single domains and hence regarded as easy to predict. Even those targets defined as having multiple domains always had at least one domain with a similar template structure.

Alternate JournalProteins
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