BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jan 12, 2022
Abstract
MOTIVATION: As one of the most important post-translational modifications (PTMs), protein lysine crotonylation (Kcr) has attracted wide attention, which involves in important physiological activities, such as cell differentiation and metabolism. However, experimental methods are expensive and time-consuming for Kcr identification. Instead, computational methods can predict Kcr sites in silico with high efficiency and low cost.