Welcome to Zhang Lab!
Research focus:
Our lab focuses on advancing the understanding of autoimmunity and immune tolerance, with a special emphasis on regulating immune homeostasis to address the current non-specific challenges in treating autoimmune diseases. By developing explainable artificial intelligence (XAI), we identify novel therapeutic targets and immune checkpoints, while visualizing immune processes to uncover new mechanisms. Through an innovative integration of computational and experimental approaches, we aim to transform autoimmune disease therapies and restore immune balance with precision.
Special interest:
Autoimmunity; T cell function and Immune homeostasis; Pathogenic T cell; Explainable AI
- Targeted Therapy for autoimmune diseases
- generalizable, durable, effective, safe, convenient and low-cost therapeutics
- Visualizing T cell immunity with artificial intelligence
Tools and Resources (Collaborations are Welcome):
Tools:
- AID-GT:Autoimmune diseases-Generative Transformer (An Explainable AI model for potential pathogenic gene prediction)
- DeepXMOL: XAI tool for generalizable virtual drug screening
- PotenTreg: XAI tool for virtual drug screening of Treg
- PotenTh17: XAI tool for virtual drug screening of Th17
- TRIgdb: Database of T cell receptors (TR) and immunoglobulins (IG) across species
Resources:
- Explainable AI (XAI) for Immunology Research
- Single Cell Genome-wide CRISPR screening for T cell
- Protein Posttranslational modification Omics
- High-throughput Drug Screening for diseases
- Spatial and Temporal Omics
If you are interested in becoming a postdoc, a joint Ph.D. student, or a research assistant, please the
recruitment page for position availability. Or talk to the PI
Prof. Song Zhang.