The canonical equilibrium of constrained molecular models
Pablo Echenique, Claudio N. Cavasotto, Pablo Garc\'ia-Risue\~no

TL;DR
This paper analyzes how imposing holonomic constraints in molecular simulations affects the accuracy of equilibrium statistical mechanics distributions, deriving correction terms and comparing constrained and unconstrained models.
Contribution
It provides a comprehensive derivation of the canonical equilibrium distributions for constrained molecular models, including correction terms and a comparison with unconstrained models.
Findings
Derived correction terms for constrained models
Compared constrained and unconstrained equilibrium distributions
Validated theoretical results with a methanol molecule simulation
Abstract
In order to increase the efficiency of the computer simulation of biological molecules, it is very common to impose holonomic constraints on the fastest degrees of freedom; normally bond lengths, but also possibly bond angles. However, as any other element that affects the physical model, the imposition of constraints must be assessed from the point of view of accuracy: both the dynamics and the equilibrium statistical mechanics are model-dependent, and they will be changed if constraints are used. In this review, we investigate the accuracy of constrained models at the level of the equilibrium statistical mechanics distributions produced by the different dynamics. We carefully derive the canonical equilibrium distributions of both the constrained and unconstrained dynamics, comparing the two of them by means of a "stiff" approximation to the latter. We do so both in the case of…
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