DeepMind 发布 AlphaGenome 2，开放非商业研究 API

Cell-specific variant interpretation is a bottleneck in translating genome sequencing into clinical insight, and AlphaGenome 2 targets exactly that gap. Genomics labs, computational biologists, and biotech teams evaluating disease-causing mutations can use it to prioritise variants by affected tissue. Compared with AlphaFold, which resolved protein structure, this model moves DeepMind's tooling upstream into gene regulation, a space where competitors like Enformer and Evotec partnerships have been active.

Official accountGoogle DeepMind@GoogleDeepMindSource

The interesting shift is that the model's value comes from context — the same variant can be scored across many cell types, enabling tissue-aware interpretation of disease-linked variants that single-context tools miss. Computational biologists, genetics labs and variant-interpretation teams can start experimenting immediately through the free Colab tutorials without infrastructure setup. Commercial users are excluded from the current licence, so biotech teams should treat it as a research preview and watch how DeepMind prices commercial access later.

Official accountGoogle DeepMind@GoogleDeepMindSource