An Interpretable Machine-Learning Algorithm to Predict Disordered Protein Phase Separation Based on Biophysical Interactions

An Interpretable Machine-Learning Algorithm to Predict Disordered Protein Phase Separation Based on Biophysical Interactions

Protein phase separation is increasingly understood to be an important mechanism of biological organization and biomaterial formation. Intrinsically disordered protein regions (IDRs) are often significant drivers of protein phase separation. A number of protein phase-separation-prediction algorithms...

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Bibliographic Details
Main Authors: Hao Cai, Robert M. Vernon, Julie D. Forman-Kay
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Biomolecules
Subjects:
biomolecular condensates
machine learning
predictor
physical interactions
intrinsically disordered proteins
phase separation
Online Access:https://www.mdpi.com/2218-273X/12/8/1131

Internet

https://www.mdpi.com/2218-273X/12/8/1131

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