Toward life with a 19-amino acid alphabet through generative artificial intelligence design

• 成果类型: Article
• 署名作者: Liu, Liyuan; Rochereau, Charlotte; Kozlov, Simon; Urtecho, Guillaume; Liu, Xiaonan; Zhao, Jiahui; Wang, Jasmine; Huang, Yiming; Qu, Yiming; Zhang, Zetian; Blazejewski, Tomasz; Swartz, Avi; Ovchinnikov, Sergey; Wang, Harris H.
• 署名单位: Columbia University; Columbia University; Harvard University; Massachusetts Institute of Technology (MIT); Harvard University; Columbia University; Harvard University; Columbia University
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-8075; 1095-9203
• DOI: 10.1126/science.aeb5171
• 发表日期: 2026-04-30
• 页码: eaeb5171
• 关键词: protein-structure; amino-acids; genome; prediction; EVOLUTION; language; origin

摘要

Because all known living organisms are made from at least 20 canonical amino acids, the feasibility of life using a more simplified alphabet remains unclear. In this work, we leveraged computational design and synthetic biology to explore building a cell from a 19-amino acid alphabet. Initial analyses suggested that isoleucine (Ile) may be dispensable, which we confirmed by directly replacing Ile residues in essential proteins in Escherichia coli. Critically, protein language models and structure-based models were necessary to redesign functional Ile-less proteins in most cases. We systematically replaced all 382 Ile residues from the ribosome and combined 21 redesigned subunits at a native genomic locus to produce a viable, evolutionarily stable cell. This work provides a roadmap to create the first 19-amino acid organism since early evolution.