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.


Examples: P35637, FUS

2022-05-05: Accepted by PNAS,
2021-08-31: 116,806 sequences from 18 species were available.

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.

Integrated Resources
catGRANULE PLAAC Pscore Espritz localCIDRE DeepCoil SEG PhosphoSitePlus DeepPhase