An initial strategy for comparing proteins at the domain architecture level

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Abstract
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 γ function and the domain duplicate index, into a single similarity measure, we propose a method for comparing proteins based on their domain architectures. 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 database. Conclusion: The approach we propose is suitable for estimating the similarity of domain architectures of proteins, especially those of multidomain proteins. Availability: Contact:linkui@bnu.edu.cn Supplementary Information: Supplementary data are available at Bioinformatics online.