Prediction of liquid–liquid phase separating proteins using machine learning

Prediction of liquid–liquid phase separating proteins using machine learning

Abstract Background The liquid–liquid phase separation (LLPS) of biomolecules in cell underpins the formation of membraneless organelles, which are the condensates of protein, nucleic acid, or both, and play critical roles in cellular function. Dysregulation of LLPS is implicated in a number of dise...

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Bibliographic Details
Main Authors: Xiaoquan Chu, Tanlin Sun, Qian Li, Youjun Xu, Zhuqing Zhang, Luhua Lai, Jianfeng Pei
Format: Article
Language:English
Published: BMC 2022-02-01
Series:BMC Bioinformatics
Subjects:
Liquid–liquid phase separation (LLPS)
Phase separation proteins (PSPs)
Machine learning
Predictor
Online Access:https://doi.org/10.1186/s12859-022-04599-w

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