Literature DB >> 27444371

Protein-protein interactions: detection, reliability assessment and applications.

Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, Yi Pan.   

Abstract

Protein-protein interactions (PPIs) participate in all important biological processes in living organisms, such as catalyzing metabolic reactions, DNA replication, DNA transcription, responding to stimuli and transporting molecules from one location to another. To reveal the function mechanisms in cells, it is important to identify PPIs that take place in the living organism. A large number of PPIs have been discovered by high-throughput experiments and computational methods. However, false-positive PPIs have been introduced too. Therefore, to obtain reliable PPIs, many computational methods have been proposed. Generally, these methods can be classified into two categories. One category includes the methods that are designed to determine new reliable PPIs. The other one is designed to assess the reliability of existing PPIs and filter out the unreliable ones. In this article, we review the two kinds of methods for detecting reliable PPIs, and then focus on evaluating the performance of some of these typical methods. Later on, we also enumerate several PPI network-based applications with taking a reliability assessment of the PPI data into consideration. Finally, we will discuss the challenges for obtaining reliable PPIs and future directions of the construction of reliable PPI networks. Our research will provide readers some guidance for choosing appropriate methods and features for obtaining reliable PPIs.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  disease gene; essential protein; protein complex; protein–protein interaction; protein–protein interaction detection; reliability assessment

Mesh:

Substances:

Year:  2017        PMID: 27444371     DOI: 10.1093/bib/bbw066

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  23 in total

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9.  PPI-MASS: An Interactive Web Server to Identify Protein-Protein Interactions From Mass Spectrometry-Based Proteomics Data.

Authors:  Mariela González-Avendaño; Simón Zúñiga-Almonacid; Ian Silva; Boris Lavanderos; Felipe Robinson; Roberto Rosales-Rojas; Fabio Durán-Verdugo; Wendy González; Mónica Cáceres; Oscar Cerda; Ariela Vergara-Jaque
Journal:  Front Mol Biosci       Date:  2021-07-01

10.  TIDB: a comprehensive database of trained immunity.

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