PepMCP: A Graph-Based Membrane Contact Probability Predictor for Membrane-Lytic AMPs

Submit

Query peptide sequences in fasta format.

The length of sequence should be less than 50.

Batch prediction is supported. Please upload no more than 20 peptide sequences.

Results

Residue-level PepMCP prediction results in .png and .txt

Code

https://github.com/ComputBiophys/PepMCP

Contact

Thank you for using PepMCP. Contact: dongruihan@stu.pku.edu.cn

Song Group website

Reference

R. Dong, T. Awang, Q. Cao, K. Kang, L. Wang, Z. Zhu, and C. Song. A Graph-Based Membrane Contact Probability Predictor for Membrane-Lytic Antimicrobial Peptides, 2026.