Multi-level bioinformatics resources support drug target discovery of protein-protein interactions

Copyright © 2024 Elsevier Ltd. All rights reserved..

Drug discovery often begins with a new target. Protein-protein interactions (PPIs) are crucial to multitudinous cellular processes and offer a promising avenue for drug-target discovery. PPIs are characterized by multi-level complexity: at the protein level, interaction networks can be used to identify potential targets, whereas at the residue level, the details of the interactions of individual PPIs can be used to examine a target's druggability. Much great progress has been made in target discovery through multi-level PPI-related computational approaches, but these resources have not been fully discussed. Here, we systematically survey bioinformatics tools for identifying and assessing potential drug targets, examining their characteristics, limitations and applications. This work will aid the integration of the broader protein-to-network context with the analysis of detailed binding mechanisms to support the discovery of drug targets.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Drug discovery today - (2024) vom: 10. Apr., Seite 103979

Sprache:

Englisch

Beteiligte Personen:

Liu, Jia-Xin [VerfasserIn]
Zhang, Xiao [VerfasserIn]
Huang, Yuan-Qin [VerfasserIn]
Hao, Ge-Fei [VerfasserIn]
Yang, Guang-Fu [VerfasserIn]

Links:

Volltext

Themen:

Binding site
Drug targets
In silico
Journal Article
Network
Protein–protein interactions
Review

Anmerkungen:

Date Revised 18.04.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1016/j.drudis.2024.103979

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370981413