iKcr-DRC Server User Guide

Introduction

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

The user can submit the protein sequences (example), and the webserver can identify Lysine crotonylation sites automatically, and return the prediction result to the Web interface.

Prediction by inputting sequences

Users can submit a protein sequence file (FASTA format) by the function.The webserver will send the predicted results to the mailbox submitted by the user.

    The explanation of Input:

  • Protein file: the FASTA format file containing the protein sequence to be predicted (example).

  • Program name: defined by users and the webserver will use it to mark the task.

  • Email: An email address to receive the prediction results after the prediction task is completed.

Open source

In addition to our online services, we extend our support to the academic community by providing access to the source code and models for download, thereby facilitating their research and application endeavors.