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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Protein-Protein Docking: Are We There Yet?

Protein-Protein Docking: Are We There Yet?
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Author(s): Horia Jalily Hasani (University of Alberta, Canada) and Khaled H. Barakat (University of Alberta, Canada)
Copyright: 2017
Pages: 23
Source title: Pharmaceutical Sciences: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1762-7.ch042


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Protein-protein docking algorithms are powerful computational tools, capable of analyzing the protein-protein interactions at the atomic-level. In this chapter, we will review the theoretical concepts behind different protein-protein docking algorithms, highlighting their strengths as well as their limitations and pointing to important case studies for each method. The methods we intend to cover in this chapter include various search strategies and scoring techniques. This includes exhaustive global search, fast Fourier transform search, spherical Fourier transform-based search, direct search in Cartesian space, local shape feature matching, geometric hashing, genetic algorithm, randomized search, and Monte Carlo search. We will also discuss the different ways that have been used to incorporate protein flexibility within the docking procedure and some other future directions in this field, suggesting possible ways to improve the different methods.

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