Quantum π in Biomolecular Dynamics: Proteins as Nano-Quantum Fluids
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Barack Ndenga
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I propose a theoretical framework in which proteins are treated as nano-scale quantum fluids, whose internal dynamics are described by a Quantum π-field defined on their three-dimensional structure. Building on the hydrodynamic formulation of quantum mechanics (Madelung quantum hydrodynamics), I introduce a π-field that encodes local quantum coherence, phase topology, and energy flow within the protein, with particular emphasis on aromatic networks and electron/proton transfer channels.
In this picture, proteins are not merely static folded structures or classical particles diffusing on an energy landscape; instead, they become quantum-coherent, fluid-like entities, with internal flows, vortices, and topological defects. Mutations and ligand binding are modeled as perturbations of the π-field, modifying local coherence, transport efficiency, and long-range allosteric communication. This approach unifies concepts from quantum hydrodynamics, protein energy landscapes, and bio-inspired quantum information flows, and it suggests a new class of computational tools for predicting mutation effects, functional hotspots, and dynamical pathways.
To my knowledge, no existing biomolecular theory explicitly treats proteins as nano-quantum fluids governed by a π-field. I therefore present this framework as a novel conceptual and mathematical model for biomolecular dynamics.
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Quantum π in Biomolecular Dynamics: Proteins as Nano-Quantum Fluids introduces a new theoretical and computational framework that models proteins as nano-scale quantum fluids, governed by a Quantum π-field defined over their structural and electronic landscape.
This approach combines principles from quantum hydrodynamics, aromatic π-electron transport, protein energy landscapes, and topological coherence fields to describe biomolecular communication and internal energy flow.
In this framework, the π-field acts as a coherence order parameter, capturing local quantum behavior, phase topology, and directional energy transport within proteins.
Aromatic residues (Phe, Tyr, Trp, His) form high-π coherence networks, which behave as quantum transport channels capable of supporting long-range communication and allosteric regulation.
Mutations are interpreted as π-defects, altering the coherence structure and re-routing quantum fluid flow inside the protein. This provides a new mechanistic explanation for mutation sensitivity, allosteric coupling, and functional propagation across distant sites.
To my knowledge, this is the first scientific work proposing:
a π-field formulation for biomolecular dynamics,
a hydrodynamic quantum-fluid model of proteins,
mutation-induced π-defects as functional perturbations,
and high-π pathways as coherence and communication channels.
This establishes a novel research direction referred to as Bio-Quantum π Dynamics (BQP Dynamics), bridging quantum physics, structural biology, and computational biochemistry.
The dataset includes conceptual figures, theoretical descriptions, and supplementary material that illustrate π-field maps, aromatic coherence channels, and mutation-induced π-defects.
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