BERT-Kcr – Prediction of Protein Lysine Crotonylation sites

BERT-Kcr

:: DESCRIPTION

BERT-Kcr is a novel predictor for protein Kcr sites prediction, which was developed by using a transfer learning method with pre-trained bidirectional encoder representations from transformers (BERT) models.

Advertisement

::DEVELOPER

Zhu Lab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

BERT-Kcr

:: MORE INFORMATION

Citation

Qiao Y, Zhu X, Gong H.
BERT-Kcr: Prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models.
Bioinformatics. 2021 Oct 13:btab712. doi: 10.1093/bioinformatics/btab712. Epub ahead of print. PMID: 34643684.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.