Unlocking Life's Code with AI
Frontier Exploration in Protein Structure Prediction and Drug Discovery
We leverage artificial intelligence to break through biological research bottlenecks, accelerating the discovery of new drug targets and innovative pharmaceuticals from genomic data.
Research Projects
AI-Assisted Protein Structure Prediction
Using deep learning models to predict three-dimensional protein structures, solving the high-cost and time-consuming problems of traditional experimental methods. Our AI models achieve over 95% accuracy, reducing processing time from months to hours.
Learn MoreAI-Driven Drug Discovery
Applying machine learning algorithms to screen and optimize potential drug molecules, improving R&D efficiency. We have successfully predicted multiple novel compounds against resistant bacterial strains and are conducting preclinical evaluations with partners.
Learn MoreGenomic Data Analysis
Developing new algorithms to process massive genomic data, identifying disease-related genetic variations. Our cloud computing platform can analyze over 500TB of biological data weekly, providing decision support for precision medicine.
Learn MoreResearch Team
Professor Jack Huang
Laboratory Director, Professor of Computational Biology
Ph.D. in Bioinformatics from Harvard University, former postdoctoral researcher at MIT. Focuses on the integration of AI and protein structure prediction, with over 60 published papers.
Dr. Li Zhang
Senior Researcher, Drug Discovery Expert
Ph.D. in Chemical Biology from Stanford University, with 10 years of drug development experience. Leads the lab's drug discovery team and has participated in developing two FDA-approved drugs.
Dr. Jun Wang
AI Algorithm Expert
Ph.D. in Computer Science from Carnegie Mellon University, specializing in deep learning algorithms for bioinformatics. Led the development of the lab's core AI prediction platform.
Latest Research Outcomes
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
Nature Biotechnology, 2023, 41(5): 624-634
This study uses deep learning algorithms to accelerate the drug discovery process, successfully screening multiple DDR1 kinase inhibitor candidates, with compound GNM-A7 showing excellent activity and selectivity in vitro experiments...
Read PaperAlphaFold2 and Large Language Model Integration: Improving Complex Protein Structure Prediction Accuracy
ISMB/ECCB 2023, 2023, Prague, Czech Republic
We present a novel hybrid model that combines AlphaFold2 with large language models, significantly improving the prediction accuracy of complex protein structures. Our method achieved leading results in the CASP15 competition...
Read PaperGraph Neural Network-Based Protein-Drug Interaction Prediction
bioRxiv, 2023.10.15
This study developed a graph neural network-based algorithm for predicting interactions between proteins and potential drug molecules. The method integrates protein structure information and drug chemical properties, significantly improving prediction accuracy...
Read PreprintContact Us
Laboratory Address
Room 320, School of Life Sciences, Peking University
5 Yiheyuan Road, Haidian District, Beijing, China
jackhuang@genomeai-lab.org
info@genomeai-lab.org
Phone
+86 (10) 8888-7777