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Updated: Nov 16, 2025

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

Published on: April 29, 2022

Computational Screening of Phase-separating Proteins.

Boyan Shen¹, Zhaoming Chen¹, Chunyu Yu²

¹Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.

Genomics, Proteomics & Bioinformatics

|February 21, 2021

Summary

This summary is machine-generated.

Cellular protein phase separation is key for compartmentalization. Current tools miss proteins with low intrinsically disordered regions (IDRs), highlighting the need to integrate protein interactions, modifications, and imaging data for better prediction.

Keywords:

Immunofluorescence image Phase separation Prediction Protein post-translational modification Protein–protein interaction

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Area of Science:

Molecular and Cellular Biology
Biophysics
Computational Biology

Background:

Phase separation drives protein compartmentalization within cells, forming membraneless organelles.
Proteins undergoing phase separation often possess intrinsically disordered regions (IDRs) and modular domains.
Existing sequence-based predictors primarily focus on IDR-rich proteins, potentially missing others.

Purpose of the Study:

To review sequence-based tools for predicting protein phase separation.
To emphasize the limitations of current predictors in identifying proteins with low IDR content.
To highlight the potential of integrating additional data types for improved prediction accuracy.

Main Methods:

Review of existing sequence-based computational tools for phase separation prediction.
Analysis of protein sequence features associated with phase separation.
Discussion of complementary data sources: protein-protein interaction networks, post-translational modifications, and immunofluorescence imaging.

Main Results:

Sequence-based tools are widely used but have limitations, particularly for proteins with low IDR content.
Protein-protein interactions (PPIs) reveal multivalent interactions critical for phase separation.
Post-translational modifications (PTMs) significantly regulate phase separation behavior.
Immunofluorescence (IF) imaging can identify spherical structures indicative of phase-separated condensates.

Conclusions:

Current sequence-based prediction methods for phase-separating proteins are insufficient.
Integrating PPI networks, PTM data, and IF imaging is crucial for comprehensive prediction.
Future prediction models should incorporate multi-modal data for enhanced accuracy and broader coverage.