PhaSePred: A Meta-predictor For Phase-Separating Proteins
Phase separation (PS) mediates the compartmentalization of proteins and nucleic acids in cell.
This process is driven by multivalent weak interactions mediated by intrinsically disordered regions
(IDRs) or multiple modular domains. A difference between these two interactions is that a single
molecule species can undergo IDR-mediated phase separation, while phase separation mediated by
multiple interacting domains often involves two or more different molecule species. Herein, we
characterize proteins that can self-assemble to form condensates as self-assembling phase-separating
(PS-Self) proteins, and we define proteins whose phase separation behaviors are regulated by partner
components (proteins or nucleic acids) as partner-dependent phase-separating (PS-Part) proteins.
PhaSePred is a centralized resource that provides self-assembling and partner-dependent
phase-separating protein prediction and integrates scores from several PS-related predicting tools.
Chen Z, Hou C, Wang L, Yu C, Chen T, Shen B, Hou Y, Li P, Li T. Screening membraneless organelle participants with machine-learning models that integrate multimodal features. Proc Natl Acad Sci U S A. 2022 Jun 14;119(24):e2115369119.