Significance Proteins that undergo phase separation promote biomolecular condensate formation and play a significant role in many biological processes. We divided these proteins into two categories according to their underlying… Click to show full abstract
Significance Proteins that undergo phase separation promote biomolecular condensate formation and play a significant role in many biological processes. We divided these proteins into two categories according to their underlying driving force when forming condensates: self-assembling proteins, which interact with the same protein species, and partner-dependent proteins, which interact with different biomolecule species. Most of the current computational tools preferentially predict self-assembling proteins and perform poorly in screening partner-dependent proteins. We thus built machine-learning models to predict the two protein categories separately. Further validation on the condensate proteome revealed that partner-dependent proteins are widespread in cells. We also developed a web server that integrates multiple phase-separation predictors, providing a convenient way for biologists to discover candidate phase-separating proteins.
               
Click one of the above tabs to view related content.