AiCE: AI-Informed Protein Engineering (基于整合结构和进化约束的反向折叠模型推进蛋白质进化)本文介绍了一种名为 AiCE（AI辅助蛋白质工程） 的创新方法，旨在 高效 识别蛋白质中的高适应性突变。文章详细阐述了 AiCE 的两个核心模块：AiCE single 用于预测单点突变，以及 AiCE multi 用于设计复合突变，这两个模块都整合了 结构和进化约束。通过在各种蛋白质工程任务中进行基准测试，包括基因编辑工具的优化，研究表明 AiCE 能够 显著提高突变预测的成功率，同时 减少实验成本 和对人工干预的依赖，从而加速蛋白质功能优化的进程。References: https://www.cell.com/cell/fulltext/S0092-8674(25)00680-4
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