Song Yoseb, Prather Kristala L J
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Curr Opin Chem Biol. 2024 Aug;81:102493. doi: 10.1016/j.cbpa.2024.102493. Epub 2024 Jul 5.
Growing environmental concerns and the urgency to address climate change have increased demand for the development of sustainable alternatives to fossil-derived fuels and chemicals. Microbial systems, possessing inherent biosynthetic capabilities, present a promising approach for achieving this goal. This review discusses the coupling of systems and synthetic biology to enable the elucidation and manipulation of microbial phenotypes for the production of chemicals that can substitute for petroleum-derived counterparts and contribute to advancing green biotechnology. The integration of artificial intelligence with metabolic engineering to facilitate precise and data-driven design of biosynthetic pathways is also discussed, along with the identification of current limitations and proposition of strategies for optimizing biosystems, thereby propelling the field of chemical biology towards sustainable chemical production.
对环境问题的日益关注以及应对气候变化的紧迫性，增加了对开发化石衍生燃料和化学品的可持续替代品的需求。具有内在生物合成能力的微生物系统，为实现这一目标提供了一种很有前景的方法。本综述讨论了系统生物学与合成生物学的结合，以阐明和操纵微生物表型，从而生产可替代石油衍生产品的化学品，并推动绿色生物技术的发展。还讨论了将人工智能与代谢工程相结合，以促进生物合成途径的精确和数据驱动设计，以及识别当前的局限性并提出优化生物系统的策略，从而推动化学生物学领域向可持续化学品生产发展。
