AlphaDynamics: A Per-System Phase-Flow Propagator for Protein Torsion Dynamics with Calibrated Rollout Fidelity

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Autore principale: Gwozdz, Krzysztof
Natura: Recurso digital
Pubblicazione: Zenodo 2026
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author Gwozdz, Krzysztof
author_facet Gwozdz, Krzysztof
contents Reviewer-hardened v2 release of AlphaDynamics, a per-system neural propagator for protein backbone torsion dynamics. This release adds an anchored rollout-fidelity audit, AR(1) baseline, statistical tests, K and kappa ablations, and a shared 4AA peptide head-to-head against Microsoft Timewarp. With calibrated kappa x1 rollout inference, AlphaDynamics achieves mean Ramachandran JSD 0.014 versus 0.356 for the pretrained Microsoft Timewarp 4AA model on three out-of-training tetrapeptides. Scope: AlphaDynamics is trained from target-specific seed MD and is not a zero-shot sequence-to-dynamics model.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19998622
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle AlphaDynamics: A Per-System Phase-Flow Propagator for Protein Torsion Dynamics with Calibrated Rollout Fidelity
Gwozdz, Krzysztof
protein dynamics
molecular dynamics
torsion angles
phase oscillators
neural ODE
mdCATH
Timewarp
Ramachandran
rollout fidelity
Reviewer-hardened v2 release of AlphaDynamics, a per-system neural propagator for protein backbone torsion dynamics. This release adds an anchored rollout-fidelity audit, AR(1) baseline, statistical tests, K and kappa ablations, and a shared 4AA peptide head-to-head against Microsoft Timewarp. With calibrated kappa x1 rollout inference, AlphaDynamics achieves mean Ramachandran JSD 0.014 versus 0.356 for the pretrained Microsoft Timewarp 4AA model on three out-of-training tetrapeptides. Scope: AlphaDynamics is trained from target-specific seed MD and is not a zero-shot sequence-to-dynamics model.
title AlphaDynamics: A Per-System Phase-Flow Propagator for Protein Torsion Dynamics with Calibrated Rollout Fidelity
topic protein dynamics
molecular dynamics
torsion angles
phase oscillators
neural ODE
mdCATH
Timewarp
Ramachandran
rollout fidelity
url https://doi.org/10.5281/zenodo.19998622