First-principles design of nanomachines
Jayanth R. Banavar, Marek Cieplak, Trinh Xuan Hoang, Amos Maritan

TL;DR
This paper introduces a framework for designing nano-machines inspired by proteins, showing that simple chain molecules can spontaneously switch between different geometries due to inherent anisotropy and local coupling.
Contribution
It presents a predictive design approach for nano-machines based on fundamental physical principles, demonstrating protein-like behavior in simple chain models.
Findings
Simple chain molecules can spontaneously switch geometries.
Inherent anisotropy and local coupling are key for machine-like behavior.
Protein-like conformational switching can occur in minimal models.
Abstract
Learning from nature's amazing molecular machines, globular proteins, we present a framework for the predictive design of nano-machines. We show that the crucial ingredients for a chain molecule to behave as a machine are its inherent anisotropy and the coupling between the local Frenet coordinate reference frames of nearby monomers. We demonstrate that, even in the absence of heterogeneity, protein-like behavior is obtained for a simple chain molecule made up of just thirty hard spheres. This chain spontaneously switches between two distinct geometries, a single helix and a dual helix, merely due to thermal fluctuations.
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