English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  On the importance of statistics in molecular simulations for thermodynamics, kinetics and simulation box size

Gapsys, V., & de Groot, B. L. (2020). On the importance of statistics in molecular simulations for thermodynamics, kinetics and simulation box size. eLife, 9: e57589. doi:10.7554/eLife.57589.

Item is

Files

show Files
hide Files
:
3253001.pdf (Publisher version), 7MB
Name:
3253001.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Gapsys, V.1, Author           
de Groot, B. L.1, Author           
Affiliations:
1Research Group of Computational Biomolecular Dynamics, MPI for biophysical chemistry, Max Planck Society, ou_578573              

Content

show
hide
Free keywords: Tools and Resources; Structural Biology and Molecular Biophysics; Molecular Dynamics; Simulation; Statistics; Thermodynamics; Kinetics
 Abstract: Computational simulations, akin to wetlab experimentation, are subject to statistical fluctuations. Assessing the magnitude of these fluctuations, that is, assigning uncertainties to the computed results, is of critical importance to drawing statistically reliable conclusions. Here, we use a simulation box size as an independent variable, to demonstrate how crucial it is to gather sufficient amounts of data before drawing any conclusions about the potential thermodynamic and kinetic effects. In various systems, ranging from solvation free energies to protein conformational transition rates, we showcase how the proposed simulation box size effect disappears with increased sampling. This indicates that, if at all, the simulation box size only minimally affects both the thermodynamics and kinetics of the type of biomolecular systems presented in this work.

Details

show
hide
Language(s): eng - English
 Dates: 2020-09-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.7554/eLife.57589
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: eLife
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 9 Sequence Number: e57589 Start / End Page: - Identifier: -