Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction

Overview

Journal Curr Genomics

Publisher Bentham Science Publishers

Date 2020 Oct 23

PMID 33093807

Citations 14

Authors

Mst Shamima Khatun

Watshara Shoombuatong

Md Mehedi Hasan

Hiroyuki Kurata

Affiliations

Soon will be listed here.

Abstract

Protein-protein interactions (PPIs) are the physical connections between two or more proteins electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal, which contributes to many biological processes including protein function, disease incidence, and therapy design. The experimental identification of PPIs high-throughput technology is time-consuming and expensive. Bioinformatics approaches are expected to solve such restrictions. In this review, our main goal is to provide an inclusive view of the existing sequence-based computational prediction of PPIs. Initially, we briefly introduce the currently available PPI databases and then review the state-of-the-art bioinformatics approaches, working principles, and their performances. Finally, we discuss the caveats and future perspective of the next generation algorithms for the prediction of PPIs.

Citing Articles

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