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Research PaperResearchia:202602.17009[Pharmaceutical Research > Biochemistry]

Structural barriers of the discrete Hasimoto map applied to protein backbone geometry

Yiquan Wang

Abstract

Determining the three-dimensional structure of a protein from its amino-acid sequence remains a fundamental problem in biophysics. The discrete Frenet geometry of the Cα backbone can be mapped, via a Hasimoto-type transform, onto a complex scalar field ψ=κeiτψ=κ\,e^{i\sumτ} satisfying a discrete nonlinear Schrödinger equation (DNLS), whose soliton solutions reproduce observed secondary-structure motifs. Whether this mapping, which provides an elegant geometric description of folded states, can be extended to a predictive framework for protein folding remains an open question. We derive an exact closed-form decomposition of the DNLS effective potential Veff=Vre+iVimV_{\text{eff}}=V_{\text{re}}+iV_{\text{im}} in terms of curvature ratios and torsion angles, validating the result to machine precision across 856 non-redundant proteins. Our analysis identifies three structural barriers to forward prediction: (i)~VimV_{\text{im}} encodes chirality via the odd symmetry of sinτ\sinτ, accounting for 31%{\sim}31\% of the total information and implying a 2N2^N degeneracy if neglected; (ii)~VreV_{\text{re}} is determined primarily (95%{\sim}95\%) by local geometry, rendering it effectively sequence-agnostic; and (iii)~self-consistent field iterations fail to recover native structures (mean RMSD =13.1= 13.1,Å) even with hydrogen-bond terms, yielding torsion correlations indistinguishable from zero. Constructively, we demonstrate that the residual of the DNLS dispersion relation serves as a geometric order parameter for αα-helices (ROC AUC =0.72= 0.72), defining them as regions of maximal integrability. These findings establish that the Hasimoto map functions as a kinematic identity rather than a dynamical governing equation, presenting fundamental obstacles to its use as a predictive framework for protein folding.


Source: arXiv:2602.13160v1 - http://arxiv.org/abs/2602.13160v1 PDF: https://arxiv.org/pdf/2602.13160v1 Original Link: http://arxiv.org/abs/2602.13160v1

Submission:2/17/2026
Comments:0 comments
Subjects:Biochemistry; Pharmaceutical Research
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arXiv: This paper is hosted on arXiv, an open-access repository
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