Prediction of liquid–liquid phase separating proteins using machine learning

BMC Bioinformatics

Jianfeng Pei¹  Youjun Xu¹  Tanlin Sun¹  Luhua Lai²  Xiaoquan Chu³  Qian Li⁴  Zhuqing Zhang⁴ 

[1] Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China;Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China;Beijing National Laboratory for Molecular Science, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China;Peking-Tsinghua Center for Life Sciences, Peking University, 100871, Beijing, China;College of Information and Electrical Engineering, China Agricultural University, 100083, Beijing, China;College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China;

关键词: Liquid–liquid phase separation (LLPS);    Phase separation proteins (PSPs);    Machine learning;    Predictor;   

DOI  :  10.1186/s12859-022-04599-w

来源: Springer

【 授权许可】

CC BY