01SCIENCE DESKThe cell gets a $1.8B group projectData first. Virtual biology second.
Biohub's October 7 announcement brings together $1.8 billion in funding, data, computing and new measurement technology to support predictive biology. The aim is to help researchers model what happens when a cell encounters a drug or a gene change.
Here's the accounting: DOE plans more than $500 million over five years. NIH is contributing datasets built through more than $500 million of prior federal investment. Google DeepMind, Isomorphic Labs and Meta collectively bring $300 million, alongside Biohub's founding commitment. These contributions make up the headline effort; they aren't all new cash, and the $300 million shouldn't be counted twice.
The partners want open, standardized measurements that researchers can use together. This announcement lays foundations for more capable virtual-cell models. It doesn't announce a finished universal model or an available treatment.
Language models had mountains of internet text. Biology needs measurements you can actually compare. The cells have finally been invited to the group chat.





