Recent developments of sequence-based prediction of protein–protein interactions

9Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

The identification of protein–protein interactions (PPIs) can lead to a better understanding of cellular functions and biological processes of proteins and contribute to the design of drugs to target disease-causing PPIs. In addition, targeting host–pathogen PPIs is useful for elucidating infection mechanisms. Although several experimental methods have been used to identify PPIs, these methods can yet to draw complete PPI networks. Hence, computational techniques are increasingly required for the prediction of potential PPIs, which have never been seen experimentally. Recent high-performance sequence-based methods have contributed to the construction of PPI networks and the elucidation of pathogenetic mechanisms in specific diseases. However, the usefulness of these methods depends on the quality and quantity of training data of PPIs. In this brief review, we introduce currently available PPI databases and recent sequence-based methods for predicting PPIs. Also, we discuss key issues in this field and present future perspectives of the sequence-based PPI predictions.

References Powered by Scopus

Gapped BLAST and PSI-BLAST: A new generation of protein database search programs

63179Citations
N/AReaders
Get full text

Highly accurate protein structure prediction with AlphaFold

21477Citations
N/AReaders
Get full text

CD-HIT: Accelerated for clustering the next-generation sequencing data

6716Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Computational Approaches to Predict Protein-Protein Interactions in Crowded Cellular Environments

20Citations
N/AReaders
Get full text

Unraveling the role of physicochemical differences in predicting protein-protein interactions

4Citations
N/AReaders
Get full text

Computational biophysics and structural biology of proteins—a Special Issue in honor of Prof. Haruki Nakamura’s 70th birthday

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Murakami, Y., & Mizuguchi, K. (2022, December 1). Recent developments of sequence-based prediction of protein–protein interactions. Biophysical Reviews. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s12551-022-01038-1

Readers over time

‘23‘240481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

75%

Researcher 2

25%

Readers' Discipline

Tooltip

Biochemistry, Genetics and Molecular Bi... 4

36%

Computer Science 4

36%

Agricultural and Biological Sciences 3

27%

Save time finding and organizing research with Mendeley

Sign up for free
0