Academic Report of School of Mathematical Sciences [2025] No. 137

(Series Report for High-Level University Construction No. 1239)

Title: Design and Prediction of Novel Antimicrobial Peptides Based on Deep Learning

Presenter: Professor Shishun Zhao (Jilin University)

Time: 5:00 PM - 6:00 PM, December 4, 2025

Venue: Room 514, Huixing Building

Abstract: This presentation highlights the critical role of antimicrobial peptides (AMPs) in combating antibiotic resistance and introduces a novel deep learning-based AMP discovery method—the AMPGP model. Traditional AMP design and discovery processes are often time-consuming and inefficient. The AMPGP model employs deep learning algorithms for AMP generation and prediction. The generation model employs attention mechanisms integrated with the seqGAN framework to efficiently produce high-quality antimicrobial peptides. The prediction model overcomes limitations of single-source information by utilizing four distinct feature channels. Evaluation on an independent test set demonstrates the AMPGP model achieves 98.46% accuracy, outperforming multiple state-of-the-art models. Ultimately, the research team screened ten candidate antimicrobial peptides. Among them, Peptide No.1 (LITHLFRFKNSGRILM) and No.2 (FKLSVLYLGRGNIMKAYYGIKIARAG) demonstrated broad-spectrum antimicrobial effects and good cellular activity, with no significant hemolytic activity observed. The AMPGP model offers a promising new approach for discovering effective antimicrobial peptides, demonstrating significant potential for clinical applications.

Presenter Profile: Zhao Shishun, Professor and PhD Supervisor at the School of Mathematics, Jilin University. Earned his PhD from Jilin University under the guidance of Professor Shi Ningzhong. Served as a visiting scholar at the University of Missouri from 2013 to 2014. His recent research focuses on survival analysis, multivariate statistics, and biomedical statistics. He has published over 30 SCI-indexed papers in renowned domestic and international journals. As principal investigator, he has led two National Natural Science Foundation of China (NSFC) General Projects, one Ministry of Education research project, and two Provincial Natural Science Foundation projects. He has also participated as a key member in three NSFC projects.

Faculty and students are welcomed to attend!

Invited by: Zhou Yan

School of Mathematical Sciences

December 1, 2025