Computational design of metallohydrolases
Crossref REST API · 学术索引收录 · 来源发布：Wed Dec 03 2025 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收录：Thu Oct 08 2026 11:07:46 GMT+0000 (Coordinated Universal Time)
已保存的原文节选
Abstract De novo enzyme design seeks to build proteins containing ideal active sites with catalytic residues surrounding and stabilizing the transition state(s) of the target chemical reaction 1–7 . The generative artificial intelligence method RFdiffusion 8,9 solves this problem, but requires specifying both the sequence position and backbone coordinates for each catalytic residue, limiting sampl
以上为带出处的原文节选，完整内容请阅读原始链接。自动收录与主题分类不等于事实核验。