Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

6.0K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
6.0K
Molecular Models02:00

Molecular Models

45.5K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
45.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Censoring chemical data to mitigate dual use risk.

Digital discovery·2026
Same author

Bayesian Optimization of Catalysis with In-Context Learning.

ACS central science·2026
Same author

A multi-agent system for automating scientific discovery.

Nature·2026
Same author

MDCrow: automating molecular dynamics workflows with large language models.

Machine learning: science and technology·2026
Same author

A mu-opioid receptor positive allosteric modulator provides opioid-sparing antinociception without enhancing opioid side effects.

The Journal of pharmacology and experimental therapeutics·2026
Same author

Not All Math Activities Are Equal in Terms of Gender Stereotypes.

Sex roles·2026

Related Experiment Video

Updated: Mar 29, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.6K

Efficient and Minimal Method to Bias Molecular Simulations with Experimental Data.

Andrew D White1, Gregory A Voth1

  • 1Department of Chemistry, James Franck Institute, Institute for Biophysical Dynamics, and Computation Institute, The University of Chicago , 5735 South Ellis Avenue, Chicago, Illinois 60637, United States.

Journal of Chemical Theory and Computation
|November 21, 2015
PubMed
Summary

Experiment-directed simulation offers a novel approach to align molecular simulations with experimental data without needing replicas. This method rapidly converges and minimally alters the system's potential energy.

More Related Videos

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.4K
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

5.2K

Related Experiment Videos

Last Updated: Mar 29, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.6K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.4K
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

5.2K

Area of Science:

  • Computational chemistry
  • Molecular dynamics
  • Statistical mechanics

Background:

  • Molecular simulations aim to reproduce experimental data by adjusting system potential energy.
  • Traditional methods involve iterative simulation and reparameterization, which can be time-consuming.
  • Existing minimal biasing techniques often require replicas, introducing complexity and potential artifacts.

Purpose of the Study:

  • To introduce a novel, replica-free method for guiding molecular simulations using experimental data.
  • To develop a technique that converges rapidly and minimally perturbs the system's free energy.
  • To provide theoretical insights into force-field modifications and their effect on simulation observables.

Main Methods:

  • Development of the 'experiment-directed simulation' method.
  • Application of the method to model systems.
  • Demonstration on a three-component electrolyte simulation.

Main Results:

  • The experiment-directed simulation method successfully aligns simulation properties with experimental data.
  • The approach demonstrates rapid convergence without the need for replicas.
  • The method minimally modifies the underlying potential energy of the simulation.
  • Simultaneous matching of multiple experimental data points is achievable.

Conclusions:

  • Experiment-directed simulation provides an efficient and robust alternative to traditional reparameterization methods.
  • The technique avoids the complexities and potential unphysical dynamics associated with replica-based methods.
  • The theoretical framework offers valuable insights into the relationship between molecular force fields and observable properties in simulations.