drMD: Molecular Dynamics for Experimentalists.

Area of Science:

• Computational structural biology
• Biophysics
• Protein science

Background:

• Molecular dynamics (MD) simulations are powerful tools for studying protein structure, activity, and interactions.
• Current MD software requires significant expertise and time, limiting accessibility for non-experts.
• Many aspects of MD simulations remain a "black box," hindering broader adoption.

Purpose of the Study:

• To present drMD, an automated pipeline for running MD simulations.
• To lower the barrier to entry for using MD simulations in biological research.
• To provide an educational tool for learning MD principles while performing simulations.

Main Methods:

• Developed drMD, an automated pipeline utilizing the OpenMM molecular mechanics toolkit.
• Integrated functions to automate routine MD simulation procedures.
• Incorporated quality-of-life features and interactive explanations with references.

Main Results:

• drMD significantly reduces the expertise needed to run MD simulations.
• The pipeline simplifies complex procedures, making MD more accessible.
• Users can perform publication-quality simulations and learn MD concepts concurrently.

Conclusions:

• drMD enhances the accessibility of molecular dynamics simulations for a wider audience.
• The tool empowers researchers, particularly non-experts, to conduct advanced computational studies.
• drMD facilitates both learning and execution of high-quality MD simulations.