LAUSR

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture

Sign Up to like & get
recommendations!
1 Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac037

Abstract: Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that is associated with a wide range of biological processes. The identification of Kcr sites is critical to better understanding their functional mechanisms. However,… read more here.

Keywords: adapt kcr; kcr; prediction; attention architecture ... See more keywords