IAMS Lecture
中研院原分所演講公告
| Title | Toward AI-Assisted Antimicrobial Peptide Design |
| Speaker | Prof. Ying-Chih Chiang Institute of Bioinformatics and System Biology, National Yang Ming Chiao Tung University |
| Time | 3:30 PM, August 13 (Thursday), 2026 |
| Venue | Dr. Poe Lecture Hall, IAMS 本所浦大邦紀念講堂(臺大校園內) |
| Contact | Dr. LIANG-YAN HSU |
| Abstract | Antimicrobial peptides (AMPs) are peptides with antibacterial, antiviral, antifungal, or antiparasitic activities. They are often secreted by living organisms and present a promising alternative to existing antibiotics. Traditionally, their discovery through experimental methods was costly and time consuming. We employ advanced artificial intelligence (AI) techniques to address the challenges in designing new antimicrobial peptides. These challenges include identifying AMP sequences, predicting activity levels, forecasting hemolytic toxicity, and optimizing other properties by modifying the sequence. Additionally, molecular dynamics simulations are utilized to explore the mechanism of action of AMPs, elucidating how a single residue can influence pore formation on the membrane. References [1] Lantian Yao, Jiahui Guan, Peilin Xie, Chia-Ru Chung, Junyang Deng, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee. (2024) Protein Science, 33(6): e5006. [2] Lantian Yao, Jiahui Guan, Peilin Xie, Chia-Ru Chung, Zhihao Zhao, Danhong Dong, Yilin Guo, Wenyang Zhang, Junyang Deng, Yuxuan Pang, Yulan Liu, Yunlu Peng, Jorng-Tzong Horng, Ying-Chih Chiang, Tzong-Yi Lee. (2025) Nucleic Acids Research, 53(D1): D364-D376. [3] Peilin Xie, Lantian Yao, Jiahui Guan, Chia‐Ru Chung, Zhihao Zhao, Feiyu Long, Zhenglong Sun, Tzong‐Yi Lee, Ying-Chih Chiang. (2025) Protein Science, 34(7): e70087. |