What it is
AIDO Cell 1.0 is GenBio AI's general-purpose virtual-cell simulator. It integrates multiple biological scales and modalities into a shared world-model framework and is presented for intervention-conditioned simulation across cell biology tasks. BioAtlas treats performance claims from Virtual Cell Benchmark 1.0 as developer-reported pending independent reproduction.
Evidence trail
BioAtlas keeps the path from source to decision visible. A connection records provenance; it does not imply that evidence is sufficient for every context.
Model passport
How AIDO Cell 1.0 represents biology
Category is navigation. These fields describe the model-specific computational transformation and deliberately override broad category defaults.
Biological scale
Modalities & tasks
Registry, claims and frontier intelligence
Version history not yet curated
1 version record · release year not yet normalized. Model-family identity remains separate from capability and access changes.
Explore version lineage →1 normalized claim
Cell perturbation prediction · Virtual Cell Benchmark 1.0
Open claim intelligence →0 connected frontiers
No frontier-research record currently connects to this model.
Inspect research horizon →Inputs and outputs
Inputs
Biological stateGenetic or small-molecule interventionExperimental contextOutputs
Simulated biological statesExperimental readout predictionsStructure/regulation/perturbation predictionsScientific and technical profile
Scientific principles
Technology
Scientific lineage
These are transparent concept matches—not claims that one scientist alone caused this model. Each connection is based on the model’s recorded domain, scientific principles, technical terms or an explicit lineage link.
Concerted allostery
Jacques Monod, Jeffries Wyman & Jean-Pierre ChangeuxAllosteric drug design exploits remote pockets to modulate function, selectivity and resistance without competing at the active site.
DNA as the hereditary transforming principle
Oswald Avery, Colin MacLeod & Maclyn McCartyGenomics, variant interpretation, gene therapy and sequence foundation models depend on DNA being the durable molecular carrier of biological information.
Gene regulation and the operon model
François Jacob & Jacques MonodTarget biology, perturbation models, transcriptomic response prediction and virtual cells all require an explicit model of regulated gene programs.
Programmable CRISPR–Cas genome editing
Jennifer A. Doudna & Emmanuelle CharpentierCRISPR enables target validation, disease models, perturbation atlases, functional genomics and gene-editing therapeutics.
Transformer self-attention
Ashish Vaswani and colleaguesProtein, genome, molecule and single-cell foundation models use attention to learn dependencies across biological sequences and multimodal inputs.
Evaluation evidence
Task-specific evidence only; not comparable as a universal leaderboard score.
Virtual Cell Benchmark 1.0
Version history not yet curated · Split details not yet normalizedA structured benchmark claim is recorded; consult the linked source for numeric values and protocol details.
Claim caveats
- Protocol, split and implementation details must match before comparing this claim with another result.
Known limitations
- Benchmark leadership claims are developer-reported and should not be treated as independently established.
- The released system currently demonstrates prototype virtual cells and does not constitute a solved general model of cell biology.
- Wet-lab validation of novel predictions is still emerging and remains essential for scientific use.
Milestones
Developer-reported Virtual Cell Benchmark 1.0 spans 31 metrics across five task families; independent reproduction remains pending.