Decoding proteins with computation
ZZD Lab uses physico-chemistry, statistical & machine learning, and complex network theory to study protein structure, function, and interaction — and to power AgroBiotechnology.
Peer-reviewed publications
Current lab members
Alumni worldwide
Tools & databases built
Welcome
In 2005, I joined the College of Biological Sciences, China Agricultural University and founded a protein bioinformatics research team (i.e, zzdlab). Here I would like to share with you my daily lab life, academic achievements, publication records, and tools/algorithms/databases developed in my team. My main research interests are related to protein bioinformatics, which heavily uses the laws of physico-chemistry, statistical/machine learning methods as well as complex network theory to do the prediction and analysis of proteins, including protein structures, protein functions, protein-ligand and protein-protein interactions. Meanwhile, I am also interested in integrating bioinformatics methods and state-of-the-art molecular modeling techniques to support diverse projects related to AgroBiotechnology.
What we work on
Protein Bioinformatics
Computational Systems Biology
Metagenomic algorithm optimization, and AI-driven mining of microbial genetic resources
Resources
More resources for protein bioinformatics — see More Links.
We're always looking for curious minds in computational biology.
Get in touchWe are a research group, and we especially welcome undergraduates, graduate students, and PhD candidates to join us. If you're curious about computational biology and want hands-on research experience, get in touch — we're happy to talk about rotations, thesis projects, or full-time positions in the lab.













