Domain-Based Approaches to Prediction and Analysis of Protein-Protein Interactions

Domain-Based Approaches to Prediction and Analysis of Protein-Protein Interactions

Morihiro Hayashida, Tatsuya Akutsu
Copyright: © 2019 |Pages: 22
ISBN13: 9781522589037|ISBN10: 1522589031|EISBN13: 9781522589044
DOI: 10.4018/978-1-5225-8903-7.ch016
Cite Chapter Cite Chapter

MLA

Hayashida, Morihiro, and Tatsuya Akutsu. "Domain-Based Approaches to Prediction and Analysis of Protein-Protein Interactions." Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 406-427. https://doi.org/10.4018/978-1-5225-8903-7.ch016

APA

Hayashida, M. & Akutsu, T. (2019). Domain-Based Approaches to Prediction and Analysis of Protein-Protein Interactions. In I. Management Association (Ed.), Biotechnology: Concepts, Methodologies, Tools, and Applications (pp. 406-427). IGI Global. https://doi.org/10.4018/978-1-5225-8903-7.ch016

Chicago

Hayashida, Morihiro, and Tatsuya Akutsu. "Domain-Based Approaches to Prediction and Analysis of Protein-Protein Interactions." In Biotechnology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 406-427. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8903-7.ch016

Export Reference

Mendeley
Favorite

Abstract

Protein-protein interactions play various essential roles in cellular systems. Many methods have been developed for inference of protein-protein interactions from protein sequence data. In this paper, the authors focus on methods based on domain-domain interactions, where a domain is defined as a region within a protein that either performs a specific function or constitutes a stable structural unit. In these methods, the probabilities of domain-domain interactions are inferred from known protein-protein interaction data and protein domain data, and then prediction of interactions is performed based on these probabilities and contents of domains of given proteins. This paper overviews several fundamental methods, which include association method, expectation maximization-based method, support vector machine-based method, linear programming-based method, and conditional random field-based method. This paper also reviews a simple evolutionary model of protein domains, which yields a scale-free distribution of protein domains. By combining with a domain-based protein interaction model, a scale-free distribution of protein-protein interaction networks is also derived.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.