科研动态
Effective enzyme engineering through modeling kinetic parameter changes upon mutations with geometric deep learning
摘要
研究提出用几何深度学习建模酶突变后动力学参数的变化，以支持高效酶工程。由于正文页面未能加载，具体模型名称、数据集规模与验证结果无法从原文确认。
摘要由模型根据原文撰写，以原文为准。
正文 · 原文
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来源：Nature · Machine Learning 主题 · nature.com
引用原文
Nature · Machine Learning 主题. Effective enzyme engineering through modeling kinetic parameter changes upon mutations with geometric deep learning[EB/OL]. (2026-11-05)[访问日期]. https://www.nature.com/articles/s41467-026-79287-x.