English

Using the Maximum Entropy Principle to Combine Simulations and Solution Experiments

Computational Physics 2018-02-12 v2 Statistical Mechanics Biological Physics Chemical Physics Data Analysis, Statistics and Probability

Abstract

Molecular dynamics (MD) simulations allow investigating the structural dynamics of biomolecular systems with unrivaled time and space resolution. However, in order to compensate for the inaccuracies of the utilized empirical force fields, it is becoming common to integrate MD simulations with experimental data obtained from ensemble measurements. We here review the approaches that can be used to combine MD and experiment under the guidance of the maximum entropy principle. We mostly focus on methods based on Lagrangian multipliers, either implemented as reweighting of existing simulations or through an on-the-fly optimization. We discuss how errors in the experimental data can be modeled and accounted for. Finally, we use simple model systems to illustrate the typical difficulties arising when applying these methods.

Keywords

Cite

@article{arxiv.1801.05247,
  title  = {Using the Maximum Entropy Principle to Combine Simulations and Solution Experiments},
  author = {Andrea Cesari and Sabine Reißer and Giovanni Bussi},
  journal= {arXiv preprint arXiv:1801.05247},
  year   = {2018}
}

Comments

Submitted to Computation

R2 v1 2026-06-22T23:46:41.923Z