NMD-VCell Virtual Cell Evidence Engine See what is known, what is uncertain, and what to test next Module: Evidence 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-20260730-29 DOI pending Open evidence boundary →

Evidence Graph

Follow one claim from observation to the missing experiment.

The graph shows why NMD-VCell can recommend a study without claiming that a gene will improve DMD.

Worked example

ZNF133 evidence path

Each step uses one of three ordinary-language states: observed, limited context or not yet tested.

1
Observed

ZNF133 was silenced in HepG2 cells

A measured CRISPRi gene-expression response is available in the released same-context dataset.

Open the observed response →
2
Limited context

ZNF133 was checked in a human-myoblast screen

It was represented in the screen but did not meet that screen’s hit threshold. This is context evidence, not DMD replication.

Open the gene evidence →
3
Evidence disagrees

DMD datasets do not fully agree on direction

The disagreement is retained as uncertainty instead of being collapsed into a therapeutic claim.

Inspect the DMD evidence →
4
Not yet tested

No independent ZNF133 perturbation exists in DMD muscle

This is the decision-blocking gap. The absence of an experiment is not a negative result.

See why prediction is locked →
5
Next experiment

Test matched DMD and control muscle cells

Use two independent reagents, biological repeats and one prespecified functional outcome.

Design this experiment →

What this means: the platform does not turn several indirect clues into a confidence score. It preserves the chain, exposes the missing link and sends the user to the experiment that would resolve it.