Incorporating Deep Learning With Word Embedding to Identify Plant Ubiquitylation Sites.

ABSTRACT: Protein ubiquitylation is an important posttranslational modification (PTM), which is involved in diverse biological processes and plays an essential role in the regulation of physiological mechanisms and diseases. The Protein Lysine Modifications Database (PLMD) has accumulated abundant ubiquitylated proteins with their substrate sites for more than 20 kinds of species. Numerous works have consequently developed a variety of ubiquitylation site prediction tools across all species, mainly relying on the predefined sequence features and machine learning algorithms. However, the difference in ubiquitylated patterns between these species stays unclear. In this work, the sequence-based characterization of ubiquitylated substrate sites has revealed remarkable differences among plants, animals,

SUBMITTER: Wang H 

PROVIDER: S-EPMC7554246 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature