Riedel-Teichmüller Protein Folding Hypothesis

Protein folding remains a central challenge in biology, where geometric insight and physical constraints must align. This work introduces a conceptual framework that applies quasi-conformal maps, Riemannian geometry, and rotation matrices to model folding dynamics in terms of psi, phi, and omega backbone angles. By incorporating electronegativity gradients and bond-length constraints into topological structures, the hypothesis aims to connect quantum-level interactions with macroscopic conformational transitions. Rather than presenting a finalized model, this proposal outlines a starting point for interdisciplinary collaboration. From potentially GPU accelerated optimization of quasi-conformalmaps to potential applications in moduli space analysis, the approach invites contributions from mathematics, biophysics, and computational science. Though preliminary, the hypothesis is intended as a scaffold for further development, a shared effort to explore new directions in protein modeling.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-01
DOI
https://doi.org/10.5281/zenodo.15476803
Primary Topic
Chemical and Physical Properties of Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Riedel-Teichmüller Protein Folding Hypothesis

Zenodo (CERN European Organization for Nuclear Research)
Chemical and Physical Properties of Materials
article

Riedel-Teichmüller Protein Folding Hypothesis

article en

Abstract

Protein folding remains a central challenge in biology, where geometric insight and physical constraints must align. This work introduces a conceptual framework that applies quasi-conformal maps, Riemannian geometry, and rotation matrices to model folding dynamics in terms of psi, phi, and omega backbone angles. By incorporating electronegativity gradients and bond-length constraints into topological structures, the hypothesis aims to connect quantum-level interactions with macroscopic conformational transitions. Rather than presenting a finalized model, this proposal outlines a starting point for interdisciplinary collaboration. From potentially GPU accelerated optimization of quasi-conformalmaps to potential applications in moduli space analysis, the approach invites contributions from mathematics, biophysics, and computational science. Though preliminary, the hypothesis is intended as a scaffold for further development, a shared effort to explore new directions in protein modeling.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 71%
Chemical and Physical Properties of Materials
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