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Related Experiment Video

Updated: Jun 11, 2026

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

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

Published on: September 17, 2021

Intuitive, reproducible high-throughput molecular dynamics in Galaxy: a tutorial.

Simon A Bray¹, Tharindu Senapathi², Christopher B Barnett³

¹Department of Computer Science, University of Freiburg, Georges-Köhler-Allee 106, Freiburg, Germany.

Journal of Cheminformatics

|January 12, 2021

Summary

This summary is machine-generated.

This tutorial explains molecular dynamics (MD) simulations using the Galaxy platform. Learn how to parameterize protein-ligand systems and analyze trajectories to understand ligand binding affinity.

Keywords:

Galaxy Molecular Dynamics Reproducible

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Area of Science:

Computational biology
Biophysics
Drug discovery

Background:

High-throughput computational data analysis requires structured, reproducible, and transparent processes.
Molecular dynamics (MD) simulations are crucial for understanding molecular interactions.
Analyzing protein-ligand interactions is key to drug discovery and development.

Purpose of the Study:

To provide a tutorial on performing molecular dynamics simulations using the Galaxy platform.
To address key questions in protein-ligand system parameterization and trajectory analysis.
To demonstrate the application of high-throughput MD in studying multiple ligands and their binding affinities.

Main Methods:

Utilizing the Galaxy data analysis platform for computational tasks.
Parameterizing protein-ligand systems for molecular dynamics simulations.
Conducting molecular dynamics simulations and analyzing resulting trajectories.

Main Results:

Demonstrated how to parameterize protein-ligand systems for MD simulations.
Illustrated various analyses applicable to molecular trajectories.
Showcased the use of high-throughput MD to study multiple ligands.

Conclusions:

Learners will understand force fields and MD parameterization.
Learners will be able to perform MD simulations and analysis for protein-ligand systems.
Learners will gain insights into molecular interactions contributing to ligand binding affinity to Hsp90.