Contribution of Artificial Intelligence to the Identification of Protein-Protein Interactions : A Case Study on PAR-3 and Its Partner Adapter Molecule Crk

© 2024. Springer Science+Business Media, LLC..

Protein-protein interactions (PPIs) are known to be involved in most cellular functions, and a detailed knowledge of such interactions is essential for studying their role in normal and pathological conditions. Significant progress is being made in the identification of PPIs through advances in computational methods. In particular, the AlphaFold2 machine learning-based model has been shown to accelerate drug discovery process by predicting the 3D structure of protein complexes. In this chapter, a straightforward protocol for predicting interprotein interactions between PAR-3 and its protein partner adapter molecule crk is provided. Such artificial intelligence-based and publicly available approaches can provide a resource for further investigation of therapeutic drug targets.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Methods in molecular biology (Clifton, N.J.) - (2024) vom: 21. März

Sprache:

Englisch

Beteiligte Personen:

D'Amico, Fabio [VerfasserIn]

Links:

Volltext

Themen:

AlphaFold
Artificial intelligence
Crk
Journal Article
PAR3
Protein-protein interaction
Stem cell

Anmerkungen:

Date Revised 20.03.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1007/7651_2024_530

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369968158