PSPire: a machine learning predictor for high-performance screening of phase-separating proteins without intrinsically disordered regions
Shuang Hou,
Jiaojiao Hu,
Zhaowei Yu
et al.
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 undervaluing potential PSPs without IDRs. Nonetheless, PS is not only steered by IDRs but also by the structured modular domains and interactions that aren't necessarily reflected in amino acid sequences. In this work, we introduce P… Show more
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