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arXiv · 1711.11574

Computational method for highly-constrained molecular dynamics of rigid bodies: coarse-grained simulation of auxetic two-dimensional protein crystals

Abstract

The increasing number of protein-based metamaterials demands reliable and efficient theoretical and computational methods to study the physicochemical properties they may display. In this regard, we develop a simulation strategy based on Molecular Dynamics (MD) that addresses the geometric degrees of freedom of an auxetic two-dimensional protein crystal. This model consists of a network of impenetrable rigid squares linked through massless rigid rods. Our MD methodology extends the well-known protocols SHAKE and RATTLE to include highly non-linear holonomic and non-holonomic constraints, with emphasis on collision detection and response between anisotropic rigid bodies. The presented method enables the simulation of long-time dynamics with reasonably large time-steps. The data extracted from the simulations allow the characterization of the dynamical correlations featured by the protein subunits, which show a persistent motional interdependence across the array. On the other hand, non-holonomic constraints (collisions between subunits) increase the number of inhomogeneous deformations of the network, thus driving it away from an isotropic response. Our work provides the first long-timescale simulation of the dynamics of protein crystals and offers insights into promising mechanical properties afforded by these materials.

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BibTeXRIS

J. A. Campos Gonzalez Angulo, G. Wiesehan, R. F. Ribeiro, J. Yuen-Zhou. 2020-06-21. Computational method for highly-constrained molecular dynamics of rigid bodies: coarse-grained simulation of auxetic two-dimensional protein crystals. https://doi.org/10.1063/5.0004518

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