Machine learning predictor PSPire screens for phase-separating proteins lacking intrinsically disordered regions

Machine learning predictor PSPire screens for phase-separating proteins lacking intrinsically disordered regions

Abstract The burgeoning comprehension of protein phase separation (PS) has ushered in a wealth of bioinformatics tools for the prediction of phase-separating proteins (PSPs). These tools often skew towards PSPs with a high content of intrinsically disordered regions (IDRs), thus frequently undervalu...

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Bibliographic Details
Main Authors: Shuang Hou, Jiaojiao Hu, Zhaowei Yu, Dan Li, Cong Liu, Yong Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-46445-y

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https://doi.org/10.1038/s41467-024-46445-y

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