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arXiv · 2611.07200

A High-Dimensional Lab-Frame Model of Markovian Dynamics in Alanine Dipeptide

Jesse M. Hall·Marina G. Guenza
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Abstract

We present a high-dimensional coarse-grained model of alanine dipeptide that explicitly incorporates global translation and rotation alongside internal conformational dynamics. Using atomistic molecular dynamics trajectories, we construct a 10-bead Markovian Langevin model with a 24-dimensional internal potential of mean force and a full matrix of site-specific friction coefficients. The equilibrium landscape is represented by a Gaussian mixture model, while a rotational-entropy correction accounts for the coupling between internal conformation and global molecular motion. Friction coefficients are obtained using a generalized Einstein relation based on time-correlation functions. We show that the rotational-entropy correction is essential for obtaining a physically admissible friction matrix and significantly affects the inferred dynamics. Without fitting to coarse-grained dynamical observables, the resulting model reproduces a broad range of atomistic auto- and cross-correlation functions. The result is a compact and interpretable dynamical representation of the entire peptide at the chosen CG resolution, which explicitly preserves distinctions between energetic and dissipative coupling over a wide range of motions, including those between conformational fluctuations and global translational and rotational diffusion.

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Jesse M. Hall, Marina G. Guenza. 2026-11-04. A High-Dimensional Lab-Frame Model of Markovian Dynamics in Alanine Dipeptide. https://arxiv.org/abs/2611.07200

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