Your class moves a real candidate up the evidence ladder.
Commercially available, tox-clean — teaching-lab-grade.
Induces cellular cleanup → predicted cytoprotective for neurons.
Whitespace for Parkinson's — untried. Sitting on rung one.
Dose-dependent protection vs. the insult-only control.
Statistically significant, not eyeballed.
Reproduced independently. No moving the goalposts.
An honest conversion rate needs the misses. A pipeline that only reports its wins is lying with statistics — so falsifying a hypothesis is a real contribution, not a wasted semester.
Honesty flag: backend + review gate are built; the public upload portal is launching, not live — pending consent + data agreements.
Reproducibility isn't bureaucracy — it's what separates a finding from a fluke.
Cell culture, dose-response design, a viability assay, proper controls.
A publishable result on a live candidate — not a canned exercise.
Their name on the record of the listing they moved.
"Computational predictions, pending wet-lab; structure-function framing only; not experimental evidence and not a disease, treatment, or efficacy claim."
Contributions run under an institutional agreement with attribution and a data-contribution agreement / MTA. The upload portal is launching, not live.