OUR FOCUS
We are dedicated to exploring microbial secondary metabolites, also known as natural products, as promising candidates for drug design and discovery. Our research focuses on various aspects including natural product discovery, regulation, biosynthesis, and engineering. While recent efforts have incorporated artificial intelligence, leveraging large models, our approach remains grounded in utilizing AI to gain deeper insights into the complex logic underlying this structurally diverse class of organic compounds.
For more information, contact me (z.qin@bnu.edu.cn), or come to see me.
Type II polyketide formicamycin
Qin et al, Chemical Science, 2017
Qin et al, Nature Communications, 2019
Qin et al, Chemical Science, 2020
Type I polyketide lydicamycin
ZHANG et al, New Journal of Chemistry, 2023
ZHAN et al, New Journal of Chemistry, 2024
Plant-microbe interactions
HUANG et al, Plant Physiology, 2024
Huang et al, Applied and Environmental Microbiology, 2024
Type II polyketide prediction
Huang et al, Digital Discovery, 2023
AI for antimicrobial peptide modification
Zhang et al, Journal of Advanced Research, 2024
Gao et al, 2024, under review
Deep learning-based model for multi-omics joint analysis in plant-microbe interactions
Wang et al, 2024, under review
Identification and functional analysis of a serine protease inhibitor using machine learning strategy
Zhang et al, International Journal of Biological Macromolecules, 2024