𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Systematic and statistical error in histogram-based free energy calculations

✍ Scribed by Mark N. Kobrak


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
271 KB
Volume
24
Category
Article
ISSN
0192-8651

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

A common technique for the numerical calculation of free energies involves estimation of the probability density along a given coordinate from a set of configurations generated via simulation. The process requires discretization of one or more reaction coordinates to generate a histogram from which the continuous probability density is inferred. We show that the finite size of the intervals used to construct the histogram leads to quantifiable systematic error. The width of these intervals also determines the statistical error in the free energy, and the choice of the appropriate interval is therefore driven by the need to balance the two sources of error. We present a method for the construction of the optimal histogram for a given system, and show that the use of this technique requires little additional computational expense. We demonstrate the efficacy of the technique for a model system, and discuss how the principles governing the choice of discretization interval could be used to improve extended sampling techniques. © 2003 Wiley Periodicals, Inc. J Comput Chem 24: 1437–1446, 2003


📜 SIMILAR VOLUMES


Convergence and error estimation in free
✍ Fangqiang Zhu; Gerhard Hummer 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 906 KB

## Abstract The weighted histogram analysis method (WHAM) has become the standard technique for the analysis of umbrella sampling simulations. In this article, we address the challenges (1) of obtaining fast and accurate solutions of the coupled nonlinear WHAM equations, (2) of quantifying the stat

Extending fragment-based free energy cal
✍ Steven Lettieri; Artem B. Mamonov; Daniel M. Zuckerman 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 408 KB

## Abstract Pre‐calculated libraries of molecular fragment configurations have previously been used as a basis for both equilibrium sampling (via library‐based Monte Carlo) and for obtaining absolute free energies using a polymer‐growth formalism. Here, we combine the two approaches to extend the s