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Related Experiment Video

Updated: Feb 13, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

Shadow molecular dynamics for flexible multipole models.

Rae A Corrigan Grove¹, Robert Stanton¹, Michael E Wall²

¹Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.

The Journal of Chemical Physics

|February 12, 2026

Summary

This summary is machine-generated.

Shadow molecular dynamics now efficiently simulate flexible multipole models, crucial for accurate long-range electrostatic interactions in atomistic simulations. This advance enhances stability and computational efficiency for complex molecular systems.

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Area of Science:

Computational Chemistry
Molecular Dynamics Simulations

Background:

Traditional molecular dynamics struggle with accurate, long-range electrostatic interactions.
Existing shadow molecular dynamics methods were limited to atomic monopoles.

Purpose of the Study:

Extend shadow molecular dynamics to handle flexible multipole models.
Improve computational efficiency and stability for electrostatic interactions.

Main Methods:

Derived shadow energy functions and force terms for monopole-monopole, dipole-monopole, and dipole-dipole interactions.
Treated atomic monopoles and dipoles as dynamical variables.
Developed a scheme with fixed monopoles and flexible dipoles.

Main Results:

Demonstrated preserved stability and accuracy with added dipole degrees of freedom.
Showcased the framework's efficiency for flexible multipole models.
Validated the approach for simulating long-range electrostatic interactions.

Conclusions:

Extended shadow molecular dynamics offer a stable and efficient framework for flexible multipole models.
This method is highly relevant for machine-learned potentials incorporating long-range electrostatics.
Enables versatile molecular dynamics simulations with complex electrostatic interactions.