Protein Bioinformatics · China Agricultural University

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.

77+

Peer-reviewed publications

17

Current lab members

41

Alumni worldwide

20

Tools & databases built

Overview

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.

Research Areas

What we work on

01

Protein Bioinformatics

02

Computational Systems Biology

03

Metagenomic algorithm optimization, and AI-driven mining of microbial genetic resources

Links

Resources

More resources for protein bioinformatics — see More Links.

PDBNCBIInterproPfamExpasyEBISCOPIMGTAlphaFold DBESM AtlasImmGenVBASE2WorkshopTeaching
Join Us

We're always looking for curious minds in computational biology.

Get in touch

We 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.