Rigid-docking approaches to explore protein–protein interaction space

Yuri Matsuzaki, Nobuyuki Uchikoga, Masahito Ohue, Yutaka Akiyama

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Protein–protein interactions play core roles in living cells, especially in the regulatory systems. As information on proteins has rapidly accumulated on publicly available databases, much effort has been made to obtain a better picture of protein–protein interaction networks using protein tertiary structure data. Predicting relevant interacting partners from their tertiary structure is a challenging task and computer science methods have the potential to assist with this. Protein–protein rigid docking has been utilized by several projects, docking-based approaches having the advantages that they can suggest binding poses of predicted binding partners which would help in understanding the interaction mechanisms and that comparing docking results of both non-binders and binders can lead to understanding the specificity of protein–protein interactions from structural viewpoints. In this review we focus on explaining current computational prediction methods to predict pairwise direct protein–protein interactions that form protein complexes.

Original languageEnglish
Title of host publicationAdvances in Biochemical Engineering/Biotechnology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages33-55
Number of pages23
DOIs
Publication statusPublished - 1 Jan 2017

Publication series

NameAdvances in Biochemical Engineering/Biotechnology
Volume160
ISSN (Print)0724-6145

Keywords

  • Protein docking
  • Protein–protein interaction
  • Supercomputing

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  • Cite this

    Matsuzaki, Y., Uchikoga, N., Ohue, M., & Akiyama, Y. (2017). Rigid-docking approaches to explore protein–protein interaction space. In Advances in Biochemical Engineering/Biotechnology (pp. 33-55). (Advances in Biochemical Engineering/Biotechnology; Vol. 160). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/10_2016_41