加州大学圣地亚哥分校的研究人员借助人工智能和机器学习技术，成功解码了控制基因启动的DNA序列特征。1该团队通过分析约50万条DNA序列，在约60%的人类基因中识别出了这一关键遗传"开关"。1
研究负责人詹姆斯·T·卡多纳加教授表示："这些AI模型首次为人类基因中启动子的存在或缺失提供了强有力的预测。"1这一发现有助于预测有害突变可能产生的影响，为揭示控制生命过程的更广泛遗传指令奠定基础。1相关研究已发表于《Genes》期刊。1
Researchers at the University of California, San Diego have successfully identified the DNA sequences that control gene activation by leveraging artificial intelligence and machine learning.1 The team analyzed approximately 500,000 DNA sequences to uncover the characteristics of "promoter" DNA—the genetic switches that determine whether genes turn on or off.1 Their computational model successfully recognized this critical genetic mechanism in roughly 60 percent of human genes.1
The breakthrough has significant implications for genetic research and medicine. According to James T. Kadonaga, a professor involved in the research, "These AI models for the first time provide strong predictions for the presence or absence of promoters in human genes."1 The ability to identify these initiator sequences will help scientists predict the effects of harmful mutations and lay groundwork for decoding the broader genetic instructions that control life processes.1 The findings were published in the journal Genes on August 23, 2026.1
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