Google DeepMind 发布 AlphaGenome Atlas，一个可搜索的 AI 数据库，收录人类基因组中约 90 亿种单字母 DNA 变异的预测影响，规模约为 1 PB。预测涵盖基因表达、RNA 剪接、蛋白质生成等分子过程，并覆盖不直接编码蛋白质、负责调控基因何时何地激活的 98% 基因组。作者认为这可能是理解调控基因组的 AlphaFold 式时刻。
材料给出了数据库覆盖的变异规模与数据体量，读者可据此判断它对调控基因组研究的可用性。
Thats really cool: Google DeepMind just released a predictive map of every possible single-letter DNA change in the human genome.
The AlphaGenome Atlas contains predictions for roughly 9 billion variants, creating a one-petabyte map of how mutations could affect gene expression, RNA splicing, protein production and other molecular processes.
This is especially important for the 98% of our genome that does not directly encode proteins but regulates when and where genes are activated.
Potentially an AlphaFold-like moment for understanding the regulatory genome. Every day a new breakthrough or release!
We’re launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here’s how it could help researchers better understand our biology 🧵在 X 查看被引用的帖子
来源：@kimmonismus · x.com