Protein Domain Annotation with Predicted Domain-Domain Interaction Networks

Xing-Ming      Zhao; Yong      Wang; Luonan      Chen; Kazuyuki      Aihara

doi:10.2174/092986608784567609

Abstract

This paper presents a framework for annotating protein domains with predicted domain-domain interaction networks. Specially, domain annotation is formalized as a multi-class classification problem in this work. The numerical experiments on InterPro domains show promising results, which proves the efficiency of our proposed methods.

Keywords: Predicted domain-domain interaction, domain annotation, majority rule, diffusion kernel, shortest path

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Protein & Peptide Letters

Title: Protein Domain Annotation with Predicted Domain-Domain Interaction Networks

Volume: 15 Issue: 5

Author(s): Xing-Ming Zhao, Yong Wang, Luonan Chen and Kazuyuki Aihara

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Keywords: Predicted domain-domain interaction, domain annotation, majority rule, diffusion kernel, shortest path

Abstract: This paper presents a framework for annotating protein domains with predicted domain-domain interaction networks. Specially, domain annotation is formalized as a multi-class classification problem in this work. The numerical experiments on InterPro domains show promising results, which proves the efficiency of our proposed methods.

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Zhao Xing-Ming, Wang Yong, Chen Luonan and Aihara Kazuyuki, Protein Domain Annotation with Predicted Domain-Domain Interaction Networks, Protein & Peptide Letters 2008; 15 (5) . https://dx.doi.org/10.2174/092986608784567609