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categories: ["foundations", "genetics"]categories: ["foundations", "genetics"]tags: ["machine learning", "systems biology", "simulation", "computational modelling", "single cell", "foundation models"]tags: ["machine learning", "systems biology", "simulation", "computational modelling", "single cell", "foundation models"]summary: "Computational models that simulate a cell's molecular behaviour, from complete cell cycles of minimal bacteria to learned predictions of how human cells respond to perturbation."summary: "Computational models that simulate a cell's molecular behaviour, from complete cell cycles of minimal bacteria to learned predictions of how human cells respond to perturbation."updated: "2026-10-16"updated: "2026-10-27"humanEvidence: "Complete whole-cell models exist only for minimal bacteria; learned models of human cell lines predict part of the transcriptional response to gene silencing, and none is validated as a model of a whole human cell."humanEvidence: "Complete whole-cell models exist only for minimal bacteria; learned models of human cell lines predict part of the transcriptional response to gene silencing, and none is validated as a model of a whole human cell."access: "Most models and datasets are public, including Recon3D, Geneformer, scGPT and Arc's State; commercial world models are proprietary and released as previews to selected academic and industry users."access: "Most models and datasets are public, including Recon3D, Geneformer, scGPT and Arc's State; commercial world models are proprietary and released as previews to selected academic and industry users."reversibility: "context"reversibility: "context"lines 103–118 → 103–11988 unchanged lines not shown
The [Chan Zuckerberg Initiative](https://aiwiki.ai/wiki/chan_zuckerberg_initiative)'s Billion Cells Project, launched in 2025 with 10x Genomics andThe [Chan Zuckerberg Initiative](https://aiwiki.ai/wiki/chan_zuckerberg_initiative)'s Billion Cells Project, launched in 2025 with 10x Genomics andUltima Genomics, exists to supply training data on a scale nobody has had.Ultima Genomics, exists to supply training data on a scale nobody has had. The largest bet on that premise came in 2026. Biohub, the Chan Zuckerberg Initiative's scienceThe largest bet on that premise came in 2026. [[biohub]], the Chan Zuckerberg Initiative's scienceorganisation, launched the [Virtual Biology Initiative](https://aiwiki.ai/wiki/virtual_biology_initiative) in April with $500 million over fiveorganisation, launched the [Virtual Biology Initiative](https://aiwiki.ai/wiki/virtual_biology_initiative) in April with $500 million over fiveyears, $400 million of it for data generation and new measurement technology and $100 million foryears, $400 million of it for data generation and new measurement technology and $100 million foroutside groups, and said the data it generates would be open and freely available.[^biohub2026a] Inoutside groups, and said the data it generates would be open and freely available.[^biohub2026a] InOctober [Biohub](https://aiwiki.ai/wiki/biohub), the US Department of Energy and the National Institutes of Health announced anOctober Biohub, the US Department of Energy and the National Institutes of Health announced anexpansion that the partners valued at $1.8 billion in funding, data, computation and measurementexpansion that the partners valued at $1.8 billion in funding, data, computation and measurementtechnology, and described as the largest coordinated commitment to AI-ready biological data totechnology, and described as the largest coordinated commitment to AI-ready biological data todate. The figure combines Biohub's original commitment, more than $500 million of planned DOEdate. The figure combines Biohub's original commitment, more than $500 million of planned DOEspending over five years, NIH datasets built through more than $500 million of earlier federalspending over five years, routed through the federal Genesis Mission for AI in science, NIH datasetsinvestment, and $300 million from Google DeepMind, Isomorphic Labs and Meta, with NVIDIA supplyingbuilt through more than $500 million of earlier federal investment, which add data rather than newmoney, and $300 million from Google DeepMind, [[isomorphic-labs|Isomorphic Labs]] and Meta, with NVIDIA supplyingcomputing infrastructure.[^biohub2026b] It is a commitment to measure cells, not a model: neithercomputing infrastructure.[^biohub2026b] It is a commitment to measure cells, not a model: neitherannouncement names a system to be built or a test it would have to pass.announcement names a system to be built or a test it would have to pass. lines 279–284 → 280–285160 unchanged lines not shown
[^genbio2026]: `statement` GenBio AI. "AIDO Cell: A General-Purpose Simulator for Cell Biology." Preview announcement, 18 August 2026. {A company describing its own unreleased system; no peer-reviewed description or prospective experimental validation accompanied it.}[^genbio2026]: `statement` GenBio AI. "AIDO Cell: A General-Purpose Simulator for Cell Biology." Preview announcement, 18 August 2026. {A company describing its own unreleased system; no peer-reviewed description or prospective experimental validation accompanied it.}[^biohub2026a]: `statement` Biohub. "Biohub Launches the Virtual Biology Initiative to Galvanize a Global Effort to Create the Open Data Foundation for AI-Accelerated Biology." Press release, 29 April 2026. {The funder announcing its own programme; it promises open data but names no licence, release date or validation target, and does not address donor consent or misuse.}[^biohub2026a]: `statement` Biohub. "Biohub Launches the Virtual Biology Initiative to Galvanize a Global Effort to Create the Open Data Foundation for AI-Accelerated Biology." Press release, 29 April 2026. {The funder announcing its own programme; it promises open data but names no licence, release date or validation target, and does not address donor consent or misuse.}[^biohub2026b]: `statement` Biohub. "International, cross-sector collaboration commits nearly $2 billion to build foundational data for AI models to predict and treat disease." Press release, 7 October 2026. {The partners' own valuation of a total that combines new money, planned agency spending, earlier federal investment and in-kind data and computing; it does not say what the corporate funders receive.}[^biohub2026b]: `statement` Biohub. "International, cross-sector collaboration commits nearly $2 billion to build foundational data for AI models to predict and treat disease." Press release, 7 October 2026. {The partners' own valuation of a total that combines new money, planned agency spending, earlier federal investment and in-kind data and computing; it does not say what the corporate funders receive.}[^reuters2026]: `news` Hu, K. "US government, Google join Zuckerberg-backed Biohub in $1.8 billion push for AI biology data." Reuters, 7 October 2026, republished by CNBC. {Reports the embargo arrangement and the timelines as Biohub's head of science described them; the length of the embargo is not given.}[^reuters2026]: `news` Hu, K. "US government, Google join Zuckerberg-backed Biohub in $1.8 billion push for AI biology data." Reuters, 7 October 2026. {Reports the embargo arrangement and the timelines as Biohub's head of science described them; the length of the embargo is not given.}[^arc2025]: `statement` Arc Institute. "Arc Institute's first virtual cell model: State," June 2025; and "Virtual Cell Challenge 2025 Wrap-Up: Winners and Reflections," December 2025. {The institute's own accounts: the State training figures and the challenge prize results are reported by the party that built one and ran the other.}[^arc2025]: `statement` Arc Institute. "Arc Institute's first virtual cell model: State," June 2025; and "Virtual Cell Challenge 2025 Wrap-Up: Winners and Reflections," December 2025. {The institute's own accounts: the State training figures and the challenge prize results are reported by the party that built one and ran the other.} removed, struck through added, underlinedLine numbers count the serialised markdown of each revision, frontmatter included.
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