10月7日生工讲堂第110讲: Synthetic Biology 2.0: the Dawn of a New Era

作者:宋晓菲发布时间:2023-10-03浏览次数:612文章来源:生物工程学院

报告时间:2023年10月7日10:30

报告地点:莫干山校区生工楼C201报告厅

报告题目:Synthetic Biology 2.0: the Dawn of a New Era

报告人:Huimin Zhao,美国伊利诺伊厄巴纳香槟分校教授

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Dr. Huimin Zhao is the Steven L. Miller Chair of chemical and biomolecular engineering at the University of Illinois at Urbana-Champaign (UIUC), director of NSF AI Institute for Molecule Synthesis (moleculemaker.org), and Editor in Chief of ACS Synthetic Biology. He received his B.S. degree in Biology from the University of Science and Technology of China in 1992 and his Ph.D. degree in Chemistry from the California Institute of Technology in 1998 under the guidance of Nobel Laureate Dr. Frances Arnold.  Prior to joining UIUC in 2000, he was a project leader at the Industrial Biotechnology Laboratory of the Dow Chemical Company. He was promoted to full professor in 2008. Dr. Zhao has authored and co-authored over 420 research articles and over 30 issued and pending patent applications. In addition, he has given over 470 plenary, keynote, or invited lectures. Thirty-six (36) of his former graduate students and postdocs became professors or principal investigators around the world. Dr. Zhao received numerous research and teaching awards and honors such as AIChE FP&B Division Award, ECI Enzyme Engineering Award, ACS Marvin Johnson Award, and SIMB Charles Thom Award. His primary research interests are in the development and applications of synthetic biology, machine learning, and laboratory automation tools to address society’s most daunting challenges in health, energy, and sustainability.

报告摘要:

Synthetic biology aims to design novel or improved biological systems using engineering principles, which has broad applications in medical, chemical, food, and agricultural industries. Thanks to the rapid advances in DNA sequencing and synthesis, genome editing, artificial intelligence/machine learning (AI/ML), and laboratory automation in the past two decades, synthetic biology has entered a new phase of exponential growth. In this talk, I will highlight our recent work on the development of a biofoundry named Illinois Biological Foundry for Advanced Biomanufacturing (iBioFAB) and AI/ML tools for synthetic biology applications and the creation of enzymes with new-to-nature activities. Examples include but are not limited to: (1) BioAutomata: a self-driving biofoundry for pathway engineering and protein engineering, (2) ECNet: an AI tool for enzyme engineering, (3) CLEAN: an AI tool for enzyme function prediction, (4) FAST-RiPP & FAST-NPS: an automated and scalable platform for rapid discovery of bioactive natural products, and (5) engineered photoenzymes with new-to-nature reactivity for asymmetric synthesis.