MetaDegron: multimodal feature-integrated protein language model for predicting E3 ligase targeted degrons.

ABSTRACT: Protein degradation through the ubiquitin proteasome system at the spatial and temporal regulation is essential for many cellular processes. E3 ligases and degradation signals (degrons), the sequences they recognize in the target proteins, are key parts of the ubiquitin-mediated proteolysis, and their interactions determine the degradation specificity and maintain cellular homeostasis. To date, only a limited number of targeted degron instances have been identified, and their properties are not yet fully characterized. To tackle on this challenge, here we develop a novel deep-learning framework, namely MetaDegron, for predicting E3 ligase targeted degron by integrating the protein language model and comprehensive featurization strategies. Through extensive evaluations using benchmark datas

SUBMITTER: Zheng M 

PROVIDER: S-EPMC11491831 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature