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合成生物学面临的十大未来挑战。

Ten future challenges for synthetic biology.

作者信息

Gallup Olivia, Ming Hia, Ellis Tom

机构信息

Department of Bioengineering Imperial College London London UK.

Imperial College Centre for Synthetic Biology Imperial College London London UK.

出版信息

Eng Biol. 2021 Aug 2;5(3):51-59. doi: 10.1049/enb2.12011. eCollection 2021 Sep.

Abstract

After 2 decades of growth and success, synthetic biology has now become a mature field that is driving significant innovation in the bioeconomy and pushing the boundaries of the biomedical sciences and biotechnology. So what comes next? In this article, 10 technological advances are discussed that are expected and hoped to come from the next generation of research and investment in synthetic biology; from ambitious projects to make synthetic life, cell simulators and custom genomes, through to new methods of engineering biology that use automation, deep learning and control of evolution. The non-exhaustive list is meant to inspire those joining the field and looks forward to how synthetic biology may evolve over the coming decades.

摘要

经过20年的发展与成功,合成生物学如今已成为一个成熟的领域,正在推动生物经济领域的重大创新,并拓展生物医学科学与生物技术的边界。那么接下来会怎样呢?本文将探讨有望且值得期待的10项技术进展,这些进展将源自下一代合成生物学研究与投资;从创造合成生命、细胞模拟器和定制基因组的宏伟项目,到运用自动化、深度学习和进化控制的生物工程新方法。这份并不详尽的清单旨在激励投身该领域的人士,并展望合成生物学在未来几十年可能的发展方向。

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