Bridging Science and Engineering
We are dedicated to advancing the scientific understanding and engineering applications of enzyme catalysis and synthetic biotechnology. By integrating fundamental scientific research with practical engineering solutions, we aim to address complex challenges in chemistry and biology:
Innovative Enzymatic Reactions: Developing new-to-nature enzymatic reactions to expand the capabilities and applications of enzymes in synthetic biology.
Computational Enzymology: Using advanced computational methods to explore the mechanisms of biocatalysis and develop innovative computational models, enhancing the rational design of enzymes and reactions.
Automated Synthetic Biology Factory: Establishing an automated platform for synthetic biology and chemistry, focused on the automation of molecular biology experiments and the screening of chemical reactions. Integrating machine learning and high-throughput technologies to further drive innovation and efficiency in biochemical engineering, accelerating the discovery and development of new enzyme functionalities.
Expansive Machine Learning Applications: Utilizing machine learning to address general challenges in synthetic chemistry and biology. By integrating machine learning experimentally and computationally, we enhance our ability to analyze complex data and solve broad-scale problems, accelerating interdisciplinary innovation.
De Novo Design of Metabolic Engineering for High-Value Production: Integrating novel enzymatic reactions into metabolic engineering strategies to construct optimized microbial factories for the production of high-value chemical products, promoting sustainable industrial practices.