Methods for detecting protein-protein interactions

Protein-protein interaction (PPI) is central to all cellular processes and play critical roles in both normal physiology and disease pathogenesis. In this brief guide, we outline the fundamental principles and widely used methods for PPI detection, focusing on 3 key techniques: immunoprecipitation, in vitro pull-down assays, and proximity ligation assay. We also discuss common experimental challenges and provide practical optimization strategies to improve reliability and reproducibility. This resource is designed to aid researchers in molecular and cellular biology, signal transduction, and animal model studies with essential knowledge for selecting and applying PPI detection methods.

Authors

Institutions

Publication Details

Journal
Molecules and Cells
Published
2025-11-26
DOI
https://doi.org/10.1016/j.mocell.2025.100301
Primary Topic
14-3-3 protein interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Methods for detecting protein-protein interactions

Hyun Woo Park, Seok Chan Cho
Molecules and Cells
14-3-3 protein interactions
article

Methods for detecting protein-protein interactions

Hyun Woo Park, Seok Chan Cho
article en

Abstract

Protein-protein interaction (PPI) is central to all cellular processes and play critical roles in both normal physiology and disease pathogenesis. In this brief guide, we outline the fundamental principles and widely used methods for PPI detection, focusing on 3 key techniques: immunoprecipitation, in vitro pull-down assays, and proximity ligation assay. We also discuss common experimental challenges and provide practical optimization strategies to improve reliability and reproducibility. This resource is designed to aid researchers in molecular and cellular biology, signal transduction, and animal model studies with essential knowledge for selecting and applying PPI detection methods.

Molecules and CellsVol. 49(1)
Yonsei University (KR)
Openalex Percentile: Top 66%
14-3-3 protein interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.