Screening membraneless organelle participants with machine-learning models that integrate multimodal features.

ABSTRACT: Protein self-assembly is one of the formation mechanisms of biomolecular condensates. However, most phase-separating systems (PS) demand multiple partners in biological conditions. In this study, we divided PS proteins into two groups according to the mechanism by which they undergo PS: PS-Self proteins can self-assemble spontaneously to form droplets, while PS-Part proteins interact with partners to undergo PS. Analysis of the amino acid composition revealed differences in the sequence pattern between the two protein groups. Existing PS predictors, when evaluated on two test protein sets, preferentially predicted self-assembling proteins. Thus, a comprehensive predictor is required. Herein, we propose that properties other than sequence composition can provide crucial information in scree

SUBMITTER: Chen Z 

PROVIDER: S-EPMC9214545 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature