FULL STACK VIRTUAL CELLP0 · DIRECT
Arc Virtual Cell Initiative · STATE · Stack · VCC
Primary userML developers and computational biologists
Entry taskTrain or benchmark a perturbation model
MoatDATA MODEL BENCHMARK
Open / lab loopOPEN RESEARCH · PARTIAL
Connects large observational and perturbational atlases, open models, standardized evaluation and a held-out challenge. Stack adds in-context single-cell modeling; the 2025 challenge retained simple baselines and exposed generalization failures.
- Adopt
- Bind every prediction to a frozen task, hidden or sealed outcomes, permanent simple baselines and a ModelRun record.
- Local equivalent
- Data Universe · ModelRun registry · Benchmark dashboard
- NMD-VCell edge
- Disease-specific evidence governance, explicit missing outcomes, candidate Study Cards and preservation of negative runs.
- Current gap
- No Arc-scale training corpus, no locally executed STATE or Stack adapter and no disease-relevant held-out perturbation outcomes.
Do not copyDo not present Arc-scale data, leaderboards or generalization as local capability.
MODEL DATA BENCHMARK PLATFORMP0 · DIRECT
CZI / Biohub Virtual Cells Platform
Primary userBiologists and ML developers
Entry taskFind data, select a model, run or compare
MoatMODEL DATA BENCHMARK WORKSPACE
Open / lab loopOPEN PLATFORM · NO
Publishes model cards, datasets, benchmarks, CLI access and hosted workflows in one ecosystem, including TranscriptFormer and the context-specific scLDM.CD4 perturbation model.
- Adopt
- Use one adapter and metadata contract across data discovery, local execution, benchmark reporting and web presentation.
- Local equivalent
- Dataset registry · Model cards · ModelRun registry · Virtual Cell Studio
- NMD-VCell edge
- A narrower neuromuscular decision loop with explicit claim ceilings and source-to-experiment traceability.
- Current gap
- NMD-VCell has a run ledger but not a unified executable adapter layer or hosted inference workspace.
Do not copyDo not build a broad model marketplace before disease workflows and adapters are stable.
SINGLE CELL DATA PLATFORMP1 · ADJACENT
CZ CELLxGENE Discover · Explorer · Census
Primary userSingle-cell biologists
Entry taskFind and explore a cell dataset
MoatSTANDARDIZED DATA DISCOVERY
Open / lab loopOPEN PLATFORM · NO
Provides versioned, ontology-harmonized single-cell data with low-latency metadata queries, source H5AD access and interoperable AnnData, Seurat and SingleCellExperiment slices.
- Adopt
- Make dataset, donor, disease, state, batch and gene selections resolve to stable source objects and exportable analysis units.
- Local equivalent
- Cell Context Map · Dataset registry
- NMD-VCell edge
- Neuromuscular disease interpretation and donor-aware claim ceilings rather than a general atlas browser.
- Current gap
- The current Cell Context Explorer is a typed context registry, not yet a donor-level cell browser over imported matrices.
Do not copyDo not treat cell counts as independent biological replication.
TARGET DISEASE ENTITY GRAPHP0 · ADJACENT
Open Targets Platform
Primary userTarget and translational researchers
Entry taskInspect a target–disease relationship
MoatENTITY RELATION EVIDENCE
Open / lab loopOPEN PLATFORM · NO
Exposes source-provenanced target, disease, drug and association entities through a web interface, downloads, GraphQL and a versioned official MCP server.
- Adopt
- Keep stable entity identifiers, release metadata, source-level provenance and machine interfaces synchronized.
- Local equivalent
- Gene records · Disease atlas · Evidence graph
- NMD-VCell edge
- Cell-context, perturbation-run and prospective-study objects specialized for neuromuscular research.
- Current gap
- NMD-VCell has linked objects but lacks a general graph query or agent interface across every object type.
Do not copyDo not collapse heterogeneous evidence into one opaque target score.
FUNCTIONAL DEPENDENCY PLATFORMP2 · ADJACENT
DepMap Portal
Primary userFunctional genomics researchers
Entry taskQuery dependency in a model context
MoatRECURRING FUNCTIONAL DATA
Open / lab loopOPEN DATA PORTAL · PARTIAL
Combines recurring public CRISPR dependency releases, molecular characterization, model metadata, downloads and experimental APIs.
- Adopt
- Version data releases, model contexts and mapping files together, and expose historical release identities.
- Local equivalent
- External context evidence · Source buckets
- NMD-VCell edge
- Disease-specific evidence boundaries prevent cancer-cell dependency from being relabeled as muscle efficacy.
- Current gap
- DepMap can add contextual dependency evidence, but it is not direct DMD muscle perturbation outcome.
Do not copyDo not relabel cancer-cell dependency as neuromuscular efficacy.
LINKED SINGLE CELL VISUALIZATIONP2 · INFRASTRUCTURE
Vitessce
Primary userSingle-cell and spatial analysts
Entry taskCompose linked views over registered objects
MoatLINKED VISUAL CONFIGURATION
Open / lab loopOPEN SOURCE · NO
Uses JSON view configurations to coordinate embeddings, expression matrices, spatial images and controls over static or object-store data.
- Adopt
- Add linked gene, cell-state, donor, heatmap and spatial views after qualified AnnData-Zarr objects are registered.
- Local equivalent
- Future linked cell browser
- NMD-VCell edge
- The visual layer would inherit NMD-VCell evidence states and donor-aware statistical rules.
- Current gap
- No production AnnData-Zarr or Vitessce view configuration is registered for DMD tissue data.
Do not copyDo not add a viewer before donor-aware, checksum-addressed objects exist.
MECHANISTIC SIMULATIONP2 · ADJACENT
VCell Modeling & Analysis Software
Primary userSystems and computational biologists
Entry taskBuild and simulate a mechanistic model
MoatMECHANISTIC SIMULATION
Open / lab loopOPEN SOURCE · NO
Separates biological model definition, applications, parameters, geometry, numerical solvers, simulation runs and downloadable results across deterministic and stochastic methods.
- Adopt
- Keep evidence checks, learned response models and future mechanistic solvers as distinct object classes with equations, parameters and run logs.
- Local equivalent
- DMD process map · Future mechanistic solver lane
- NMD-VCell edge
- NMD-VCell begins from disease evidence and the experiment needed to establish a modelable transition.
- Current gap
- No calibrated mechanistic DMD model, parameter set or numerical simulation result is released.
Do not copyDo not relabel an evidence graph as a calibrated mechanistic simulation.
PERTURBATION DATA ENGINEP1 · DIRECT
Tahoe · Mosaic · Tahoe-100M
Primary userVirtual-cell model builders and drug discovery teams
Entry taskAccess a large chemical perturbation atlas
MoatPROPRIETARY DATA ENGINE WITH OPEN RELEASES
Open / lab loopMIXED · YES
Builds large perturbational single-cell maps and publishes Tahoe-100M as a reusable data product with manuscript, download, community and model entry points.
- Adopt
- Treat every important disease dataset as a versioned product with a scientific question, access path, limitations, examples and downstream model links.
- Local equivalent
- Measured DMD evidence release · Dataset cards
- NMD-VCell edge
- NMD-VCell can make donor structure, neuromuscular context and claim ceilings more visible than a scale-first perturbation atlas.
- Current gap
- No flagship NMD perturbation dataset currently connects a public Dataset Card to measured outcomes, model runs and follow-up studies.
Do not copyDo not use cell-count scale as a substitute for donor, disease and perturbation relevance.
CAUSAL PERTURBATION MODELP1 · DIRECT
Xaira Therapeutics · X-Cell
Primary userAI drug discovery researchers
Entry taskEvaluate or apply a cross-context perturbation model
MoatPROPRIETARY PERTURBATION DATA AND MODEL
Open / lab loopMIXED · YES
Packages a virtual-cell release around a named model, a large perturbation training asset, a technical report and a cross-context prediction task.
- Adopt
- Give each locally evaluated model a permanent release page that binds model version, training context, target context, artifacts, benchmark results and limitations.
- Local equivalent
- Model card audit · ModelRun release objects
- NMD-VCell edge
- NMD-VCell publishes negative runs, abstentions and disease-specific transfer boundaries instead of relying on a broad model launch claim.
- Current gap
- Model releases are audited, but the public product does not yet present every ModelRun as one linked release package with quickstart and failure analysis.
Do not copyDo not claim cross-context DMD generalization without prospective disease-relevant validation.
LAB IN THE LOOP DRUG DISCOVERYP0 · DIRECT
Recursion OS · Predict–Explain–Discover
Primary userDrug discovery programs
Entry taskMove from perturbation maps to a therapeutic program
MoatAUTOMATED LAB DATA MODEL LOOP
Open / lab loopPROPRIETARY · YES
Connects automated perturbation experiments, phenomics and transcriptomics, learned maps, design workflows and downstream therapeutic programs in a physical-to-digital feedback loop.
- Adopt
- Show the complete lifecycle from experimental material through assay, data object, model, decision, new experiment and evidence update.
- Local equivalent
- Evidence-to-experiment loop · Study Cards · Outcome registry
- NMD-VCell edge
- NMD-VCell can expose each evidence transition and missing link publicly even without proprietary lab scale or a drug pipeline.
- Current gap
- Study Cards and an outcome registry exist, but no measured candidate-level DMD outcome has yet completed the loop.
Do not copyDo not imply an automated wet-lab or therapeutic pipeline that NMD-VCell does not operate.
MULTISCALE WORLD MODELP2 · DIRECT
GenBio AI · AIDO
Primary userMultiscale biological AI researchers
Entry taskUse or combine biological foundation models
MoatMULTISCALE MODEL SYSTEM
Open / lab loopMIXED · NO
Frames DNA, RNA, protein, structure and single-cell models as interoperable modules on a roadmap toward a multiscale biological world model.
- Adopt
- Publish a layered capability roadmap that distinguishes released modules, interfaces between scales and future simulation goals.
- Local equivalent
- Meaning map · Capability atlas
- NMD-VCell edge
- NMD-VCell can make every currently supported scale and unsupported transition explicit rather than presenting a universal world-model claim.
- Current gap
- Gene, pathway, cell-state and experiment objects are linked conceptually but do not yet share one typed cross-scale relation contract.
Do not copyDo not use world-model language where only bounded evidence objects are available.
TEMPORAL SIGNALING ACTIVE LEARNINGP1 · DIRECT
Cellular Intelligence
Primary userRegenerative medicine and cell engineering teams
Entry taskDesign temporal signaling interventions
MoatSEQUENTIAL SIGNALING DATA ENGINE
Open / lab loopPROPRIETARY · YES
Emphasizes sequential signaling, dose, temporal order, cell-fate control and active learning over static cell-state representation.
- Adopt
- Represent intervention sequence, dose and time as first-class variables, then prioritize experiments by the uncertainty they can resolve.
- Local equivalent
- DMD process map · Experiment Planner
- NMD-VCell edge
- The DMD process map and Study Cards can connect temporal signaling hypotheses to source-linked disease evidence and explicit outcome branches.
- Current gap
- Current studies record time and endpoint, but the planner does not yet compare sequential interventions or information gain across an experiment portfolio.
Do not copyDo not inherit company-reported scale or efficiency claims as validated evidence.
SINGLE CELL DATAOPS MLOPSP0 · INFRASTRUCTURE
Broad Cellarium AI
Primary userSingle-cell computational teams
Entry taskRun a task-specific single-cell tool
MoatDATAOPS MLOPS AND TOOLING
Open / lab loopOPEN RESEARCH · NO
Presents annotation, denoising, perturbation interpretation and cloud infrastructure as separate tools with task-specific identities.
- Adopt
- Turn existing NMD-VCell pages into a tool catalog only when each module has declared inputs, outputs, failure states, examples and machine interfaces.
- Local equivalent
- Resolver · Compare · Process inspector · Model auditor · Planner
- NMD-VCell edge
- NMD-VCell can bind each tool output to disease evidence, a claim ceiling and the next experiment instead of ending at a generic analysis artifact.
- Current gap
- Resolver, comparator, process inspector, model auditor and planner exist but do not yet share a visible tool contract.
Do not copyDo not label an informational page as a tool without executable inputs and outputs.
MODEL DEPLOYMENT INFRASTRUCTUREP1 · INFRASTRUCTURE
NVIDIA BioNeMo
Primary userAI developers and enterprise research teams
Entry taskBuild, adapt or deploy a biology model
MoatCOMPUTE PACKAGING AND DEPLOYMENT
Open / lab loopMIXED · NO
Packages biomolecular AI capabilities as frameworks, web interfaces, APIs and deployable inference microservices.
- Adopt
- Keep one model identity across web documentation, API records, local adapters, artifacts and deployment-specific run receipts.
- Local equivalent
- API · Model adapters · Run receipts
- NMD-VCell edge
- NMD-VCell can provide stronger disease-specific evidence governance around externally executed or locally adapted models.
- Current gap
- The public API exposes ModelRuns, but there is no uniform adapter package or deployment receipt across external model families.
Do not copyDo not build enterprise infrastructure before a reproducible disease adapter is needed.