Lysine crotonylation (Kcr) is a novel post-translational modification of proteins that has attracted wide attention in recent years, mainly occurring on protein lysine residues. It plays a pivotal role in gene expression regulation, cellular metabolism, and a variety of life activities. Kcr has an important regulatory role in major diseases such as tumors and cancer. Therefore, accurate prediction of the Kcr site is essential for understanding the normal functioning of an organism. We propose a deep learning computational model called iKcr-DRC for accurate prediction of Kcr sites.
Prediction by inputting sequences:
Prediction by uploading files:
Notice:
Enter the sequences of the query proteins in FASTA format (example).
The number of protein sequences submitted each time is limited to 20 when using the function "Prediction by input sequence".
If you need to submit quantities of protein sequences at once, you can use the function "Prediction by uploading files" . More info...