萜类化合物高效发现与产业化制造

Efficient discovery and industrialized manufacture of terpenoids

        池豪铭¹(武汉大学 药学院 武汉 430072)
        鄂丽影¹(武汉大学 药学院 武汉 430072)
        刘天罡^1,2*(武汉大学 药学院 武汉 430072;上海交通大学 生命科学技术学院 上海 200240)

         萜类化合物;合成生物学;化学半合成;规模化放大;人工智能

        terpenoids;synthetic biology;chemical semi-synthesis;scale-up;artificial intelligence

        萜类化合物作为自然界中一类具有广泛生物活性的化学实体，在药物开发、香料工业及农业等多个领域展现出巨大的应用潜力。然而，传统方法在萜类化合物的发现与产业化过程中面临效率低下、成本高昂等挑战。随着合成生物学、基因组学、人工智能及自动化技术的飞速发展，这些新兴技术为萜类化合物的高效发现与产业化提供了新的机遇。文章综合分析了这些技术如何协同作用于萜类化合物的发掘、优化与规模化生产，并归纳了当前萜类化合物的高产现状，旨在提出一套创新策略，以加速该领域的技术革新与产业升级。

        Terpenoids, a class of chemical entities with diverse biological activities in nature, demonstrate significant potential for applications in fields such as drug discovery, flavor industry, and agriculture. However, traditional methods face challenges, including inefficiency and high costs, in the discovery and industrialization of terpenoids. The rapid development of synthetic biology, genomics, artificial intelligence, and automation provides new opportunities for efficient terpenoid discovery and industrialization. This study comprehensively analyzes how these technologies synergistically contribute to the discovery, optimization, and large-scale production of terpenoids, and summarizes the current high-yield situations of terpenoids. The aim is to propose innovative strategies to accelerate technological innovation and industrial upgrading in this field.