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继2008年人类首次化学合成生殖支原体基因组后，合成生物学领域今日迎来了一项被誉为“ChatGPT时刻”的范式突破。由Arc研究所、斯坦福大学、NVIDIA及加州大学伯克利分校等机构联合研发的生物基础模型——Evo2正式对外公布。该模型基于9万亿个DNA碱基对训练而成，不仅能够高精度预测基因突变的致病性，更实现了从头设计长达百万碱基对的复杂基因组序列，标志着生命代码的操纵从“微调编辑”正式跨入“生成式编程”时代。2026年3月4日，相关研究成果发表于《Nature》。

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（图片来源：斯坦福大学官网）

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