Illuminating the universe of enzyme catalysis in the era of artificial intelligence.

IF 7.7
Jason Yang, Francesca-Zhoufan Li, Yueming Long, Frances H Arnold
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Abstract

Scientific research has revealed only a minuscule fraction of the enzymes that evolution has generated to power life's essential chemical reactions-and an even tinier fraction of the vast universe of possible enzymes. Beyond the enzymes already annotated lie an astronomical number of biocatalysts that could enable sustainable chemical production, degrade toxic pollutants, and advance disease diagnosis and treatment. For the past few decades, directed evolution has been a powerful strategy for reshaping enzymes to access new chemical transformations: by harnessing nature's existing diversity as a starting point and taking inspiration from nature's most powerful design process, evolution, to modify enzymes incrementally. Recently, artificial intelligence (AI) methods have started revolutionizing how we understand and compose the language of life. In this perspective, we discuss a vision for AI-driven enzyme discovery to unveil a world of enzymes that transcends biological evolution and perhaps offers a route to genetically encoding almost any chemistry.

照亮人工智能时代酶催化的宇宙。
科学研究表明,进化过程中产生的为生命基本化学反应提供动力的酶只占很小的一部分,而在浩瀚的可能存在的酶中,这一比例甚至更小。除了已经标注的酶之外,还有数量惊人的生物催化剂,它们可以实现可持续的化学生产,降解有毒污染物,推进疾病的诊断和治疗。在过去的几十年里,定向进化一直是重塑酶以获得新的化学转化的有力策略:利用自然现有的多样性作为起点,从自然界最强大的设计过程——进化——中获取灵感,逐步修改酶。最近,人工智能(AI)方法开始彻底改变我们理解和撰写生命语言的方式。从这个角度来看,我们讨论了人工智能驱动的酶发现的愿景,以揭示一个超越生物进化的酶世界,并可能为几乎任何化学物质的遗传编码提供一条途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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