NMD-VCell Virtual Cell Evidence Engine See what is known, what is uncertain, and what to test next Module: Virtual Cell Capability Atlas · evidence-to-experiment workflow NMD = neuromuscular disorders

Current limit: the site can compare existing evidence, but no candidate has yet been independently repeated in a DMD muscle model.

Research evidence only 21 observed HepG2 perturbations 0 independent DMD replications Boundary & release
Observed HepG2 perturbations with limited external myogenic context No validated DMD perturbation prediction v1.0.0-database-resource Frozen 25 Jul 2026 Schema 1.1 Model ridge-safe-v2.3 Benchmark repeated-fold-v2.2 Build EA-20260730-33 DOI pending Open evidence boundary →

Virtual Cell Capability Atlas

See exactly what NMD-VCell can represent, predict and not yet claim.

Five capability levels connect evidence organization to future disease prediction. Every level names its input, output, evaluation and unlocking data.

Five-level readiness ladder

A virtual cell is a sequence of testable capabilities—not one marketing label.

Observed status · no inferred scores
VC-1Available now

Evidence resource

Find and connect disease evidence without converting it into a prediction.

Input
Gene identifiers, DMD source rows, perturbation records and provenance
Output
Source-linked evidence record, uncertainty state and decision-blocking gap
Evaluation
Schema validation, checksums, source traceability and release invariants
Current evidence
17,921 gene records · 123 detailed audit records · 5 frozen comparisons
Boundary / blockerThis layer organizes evidence; it does not estimate a DMD response.
Explore the evidence →
VC-2Partially available

Cell-state context

Place a question in a biological compartment or myogenic transition.

Input
Unperturbed human-myogenic time course and qualified context screens
Output
Reference-state placement and evidence-availability map
Evaluation
Physical timepoint QC, context coverage and explicit missing-state labels
Current evidence
271 cells · 0/24/48/72 h · 20/21 genes measured · 9/21 in myoblast screen
Boundary / blockerNo released trajectory is both DMD-specific and perturbation-conditioned.
Open the cell ecosystem →
VC-3Available · limited

Same-context perturbation baseline

Test whether a model can recover held-out responses inside one processed assay.

Input
Observed HepG2 CRISPRi response substrate for 21 candidates
Output
Held-out 2,000-feature mean response vector
Evaluation
Repeated target-level folds · RMSE · raw and residual cosine · simple baselines
Current evidence
Small average-error improvement; direction unreliable; external transfer unsupported
Boundary / blockerSame-assay performance does not establish transport to muscle or DMD.
Inspect the benchmark →
VC-4Locked · no disease outcomes

DMD state-transition predictor

Predict molecular and functional response in matched DMD and control muscle states.

Input
Required: independent DMD/control perturbations with donor, state, time and function
Output
Desired: response distribution, functional effect, toxicity and calibrated uncertainty
Evaluation
Planned unseen donor, state, laboratory and disease holdouts with abstention
Current evidence
0 registered predictions · 0 independent DMD perturbation outcomes
Boundary / blockerThe training and external truth objects required for this task do not exist.
See the data required →
VC-5Locked · not available

Patient digital twin

Estimate a patient-specific disease trajectory under an intervention.

Input
Required: longitudinal patient-linked state, intervention and outcome data
Output
Desired: patient-specific trajectory with uncertainty and prospective calibration
Evaluation
Required: prospective patient holdout, safety analysis and clinical governance
Current evidence
No patient-linked longitudinal perturbation trajectory is released
Boundary / blockerNo patient-specific prediction or treatment simulation is scientifically permitted.
Inspect the trajectory boundary →

Context × perturbation × output

The current coverage matrix exposes the missing middle.

Open machine contract →
ContextCell statePerturbationMolecular outputFunctional outputCurrent state
DMD evidence sourcesDisease-associated observationsNo matched perturbationSource-linked direction and conflictNot measuredEvidence only
Human myogenic reference0 / 24 / 48 / 72 hUnperturbedReference program trajectoryDifferentiation context onlyMeasured reference
HepG2One processed assay context21 observed CRISPRi targets2,000-feature response vectorNot a muscle endpointLimited baseline
DMD muscleMyoblast → mature/functionCandidate perturbationRequired but unavailableRequired but unavailableNot yet tested
FAP · immune · vascularDisease microenvironmentCell-specific perturbationRequired but unavailableCross-cell consequence unavailableNot yet tested
Individual patientLongitudinal disease stateTherapy or interventionNo calibrated outputNo clinical outcome predictionNot available

One result · three reading levels

Choose the explanation that matches your task.

Biologist

The platform can show where a gene has been observed, where the evidence disagrees and which cell experiment would resolve the uncertainty. It cannot yet tell you how DMD muscle will respond.

The next scientific unlock

Return one preregistered DMD perturbation outcome through the full evidence loop.

Study Card → registered prediction → matched experiment → positive, null, toxic or discordant outcome → governed evidence transition.

Open the decision queue