Bounds answer a different question from sampling
Conventional molecular simulation already supports ensemble analysis, parameter sensitivity and uncertainty estimation. BioTwin’s implemented interval and affine components address a narrower question: what readouts are enclosed by specified bounds under supported harmonic equations? This makes the uncertainty admitted by the calculation explicit.
Use the range at the decision threshold
For a geometric or dynamic readout with a defined threshold, the useful distinction is whether the whole range supports the same decision or spans both outcomes. Pairing this with fit/access or a rate model could identify which uncertain input most needs measurement. Such pairings require qualification for the exact equations and readouts; the interval machinery alone does not validate the complete chain.
The equation is part of the claim
Current implementation covers a constrained dynamics class, including harmonic Grönwall bounds. A sound enclosure of those equations does not enclose all behavior of a real protein. Unsupported forces, model discrepancy and biological calibration remain separate. A useful evaluation tests whether the bounds stay informative as relevant physical detail is added.