Bioinformatics Advance Access published online on July 12, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl366
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1 MOE Key Laboratory for Biodiversity Science and Ecological Engineering and College of Life Sciences, Beijing Normal University, Beijing 100875, China
* To whom correspondence should be addressed.
Motivation: Ideally, only proteins that exhibit highly similar domain architectures should be compared with one another as homologues or be classified into a single family. By combining three different indices, the Jaccard index, the Goodman-Kruskal Results: Evaluation of the method using the eukaryotic orthologous groups of proteins (KOGs) database indicated that it allows the automatic and efficient comparison of multiple-domain proteins, which are usually refractory to classic approaches based on sequence similarity measures. As a case study, the PDZ and LRR_1 domains are used to demonstrate how proteins containing promiscuous domains can be clearly compared using our method. For the convenience of users, a web server was set up where three different query interfaces were implemented to compare different domain architectures or proteins with domain(s), and to identify the relationships among domain architectures within a given KOG from the Clusters of Orthologous Groups of Proteins (COGs) database. Conclusion: The approach we propose is suitable for estimating the similarity of domain architectures of proteins, especially those of multidomain proteins. Availability: http://cmb.bnu.edu.cn/pdart/.
Received April 2, 2006
Revised June 5, 2006
Accepted July 2, 2006
Article
An initial strategy for comparing proteins at the domain architecture level
Kui Lin 1 *,
Lei Zhu 1,
and
Da-Yong Zhang 1
Kui Lin, E-mail: linkui{at}bnu.edu.cn
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Abstract
function, and the domain duplicate index, into a single similarity measure, we propose a method for comparing proteins based on their domain architectures.
Associate Editor: Christos Ouzounis
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