AlphaFold 五年影响：加速发现，开启数字生物学时代
原标题：AlphaFold: Five years of impact
AI 摘要
Google DeepMind 发布 AlphaFold 五年影响报告，显示其被超过 35,000 篇论文引用，并显著提升研究效率与质量。AlphaFold 2 使研究人员提交新型实验蛋白质结构的数量增加 40% 以上，且相关研究更易被临床文献和专利引用。AlphaFold 3 与 Isomorphic Labs 合作开发，可预测 DNA、RNA 等分子结构，推动数字生物学和药物发现。AlphaFold Server 已为全球研究人员完成超过 800 万次结构预测。
正文节选
Increasing speed of discovery Cyril Zipfel, professor of Molecular & Cellular Plant Physiology at the University of Zurich and Sainsbury Lab, saw research timelines shrink drastically. They used AlphaFold alongside comparative genomics to better understand how plants perceive changes in their environment, paving the way for more resilient crops. AlphaFold has been cited in more than 35,000 papers and more than 200,000 papers incorporated elements of AlphaFold 2 in their methodology. It’s also en