Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores.

Metabolic stability of proteins plays a vital role in various dedicated cellular processes. Traditional methods of measuring the metabolic stability are time-consuming and expensive. Therefore, we developed a more efficient computational approach to understand the protein dynamic action mechanisms in biological process networks. In this study, we collected 341 short-lived proteins and 824 non-short-lived proteins from U2OS; 342 short-lived proteins and 821 non-short-lived proteins from HEK293T; 424 short-lived proteins and 1153 non-short-lived proteins from HCT116; and 384 short-lived proteins and 992 non-short-lived proteins from RPE1. The proteins were encoded by GO and KEGG enrichment scores based on the genes and their neighbors in STRING, resulting in 20,681 GO term features and 297 KEGG pathway features. We also incorporated the protein interaction information from STRING into the features and obtained 19,247 node features. Boruta and mRMR methods were used for feature filtering, and IFS method was used to obtain the best feature subsets and create the models with the highest performance. The present study identified 42 features that did not appear in previous studies and classified them into eight groups according to their functional annotation. By reviewing the literature, we found that the following three functional groups were critical in determining the stability of proteins: synaptic transmission, post-translational modifications, and cell fate determination. These findings may serve as a valuable reference for developing drugs that target protein stability.

Tudor domains of the PRC2 components PHF1 and PHF19 selectively bind to histone H3K36me3.

PRC2 is the major H3K27 methyltransferase and is responsible for maintaining repressed gene expression patterns throughout development. It contains four core components: EZH2, EED, SUZ12 and RbAp46/48 and some cell-type specific components. In this study, we focused on characterizing the histone binding domains of PHF1 and PHF19, and found that the Tudor domains of PHF1 and PHF19 selectively bind to histone H3K36me3. Structural analysis of these Tudor domains also shed light on how these Tudor domains selectively bind to histone H3K36me3. The histone H3K36me3 binding by the Tudor domains of PHF1, PHF19 and likely MTF2 provide another recruitment and regulatory mechanism for the PRC2 complex. In addition, we found that the first PHD domains of PHF1 and PHF19 do not exhibit histone H3K4 binding ability, nor do they affect the Tudor domain binding to histones.