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