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Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments

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Intrinsically disordered regions that drive phase separation form a robustly distinct protein class.

Ayyam Y Ibrahim¹, Nathan P Khaodeuanepheng¹, Dhanush L Amarasekara²

¹Department of Chemistry and Biochemistry, Texas State University, San Marcos, Texas, USA.

The Journal of Biological Chemistry

|December 17, 2022

Summary

Researchers identified key features of intrinsically disordered regions (IDRs) that drive protein phase separation, crucial for forming membrane-less organelles. This finding aids in understanding cellular organization and designing new proteins.

Keywords:

intrinsically disordered protein protein self-assembly protein sequence protein-protein interaction subcellular organelle

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Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins

Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins

Published on: September 23, 2021

Area of Science:

Biochemistry
Molecular Biology
Cell Biology

Background:

Protein phase separation drives the formation of membrane-less organelles, essential for cellular functions.
Intrinsically disordered regions (IDRs) are critical for the phase separation of many proteins.

Purpose of the Study:

To identify and characterize IDRs that drive protein phase separation.
To improve the prediction of phase-separating IDRs (PS IDRs).

Main Methods:

Curated datasets of folded, intrinsically disordered (ID), and phase-separating ID (PS ID) sequences.
Examined amino acid property scales to distinguish between protein region classes.
Optimized a predictor (ParSe) for PS IDRs, incorporating amino acid interactions.

Main Results:

Identified robust differences in amino acid properties between folded, ID, and PS ID sequences.
Demonstrated that multiple combinations of property scales can predict protein phase separation.
Developed an improved predictor (ParSe) with enhanced accuracy for PS IDRs and mutations.

Conclusions:

Multiple, redundant mechanisms contribute to phase separation driven by IDRs.
Amino acid properties and interactions are key determinants of protein phase separation.
Findings advance the understanding of IDR classification and the molecular basis of phase separation.