刘陈立.强化使命驱动的建制化基础研究，抢占定量合成生物学研究范式制高点[J].中国科学院院刊,2026,41(6):1253-1258.

强化使命驱动的建制化基础研究，抢占定量合成生物学研究范式制高点

Advancing paradigm of quantitative synthetic biology and strengthening mission-oriented basic research

刘陈立
中国科学院深圳先进技术研究院 定量合成生物学全国重点实验室 深圳 518005
LIU Chenli
State Key Laboratory for Quantitative Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518005, China

         基础研究;定量合成生物学;建制化;使命驱动

        basic research;quantitative synthetic biology;strategically organized research;mission-oriented innovation

        合成生物学是生命科学的前沿方向，但目前受限于理性设计能力不足的关键瓶颈。定量合成生物学通过整合定量解析与合成重构，有望为突破该瓶颈提供新的研究范式。文章梳理了该领域兴起的背景与必要性，并介绍了国内学者在此方向上的前期探索。结合学科发展特点的分析，文章提出了开展定量合成生物学研究范式的2个重点：（1） 以使命驱动与自由探索相结合的建制化协同攻关核心路径，深入推进国内定量合成生物学基础研究；（2）探索建制化成果转化机制，推动前沿科研成果高效转化为新质生产力，为构建长效科研创新体系、夯实我国科技自立自强根基提供参考。

        Synthetic biology is an important frontier in the life sciences, yet its further development remains constrained by limited capacity for rational design. Quantitative synthetic biology, which iteratively integrates quantitative modeling with the construction and analysis of synthetic systems, offers a promising paradigm for addressing this challenge. In this perspective, the study discusses the background and motivations underlying the emergence of this field and summarizes recent developments and exploratory efforts. Considering the unique characteristics of quantitative synthetic biology, it is suggested that progress in the field may benefit from strategically organized collaborative research that balances mission-oriented goals with investigator-driven exploration. On the translational side, possible mechanisms are further discussed for facilitating the conversion of research advances into practical applications and broader societal value. It is hoped that these considerations may provide a useful reference for fostering a sustainable research and innovation ecosystem for quantitative synthetic biology in China and for supporting the long-term development of scientific and technological capabilities.