PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants.

ABSTRACT:

Background

Lysine crotonylation (Kcr) is a crucial protein post-translational modification found in histone and non-histone proteins. It plays a pivotal role in regulating diverse biological processes in both animals and plants, including gene transcription and replication, cell metabolism and differentiation, as well as photosynthesis. Despite the significance of Kcr, detection of Kcr sites through biological experiments is often time-consuming, expensive, and only a fraction of crotonylated peptides can be identified. This reality highlights the need for efficient and rapid prediction of Kcr sites through computational methods. Currently, several machine learning models exist for predicting Kcr sites in humans, yet models tailored for plants are rare. Furthermore, no downloadable

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC10870457 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature