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Related Experiment Video

Updated: May 9, 2025

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

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

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Multiscale Molecular Dynamics Simulations with the MiMiC Framework.

Andrea Levy¹, Andrej Antalík², Jógvan Magnus Haugaard Olsen³

¹LCBC, SB ISIC EPFL, CH-1015 Lausanne, Switzerland. andrea.levy@epfl.ch.

|May 2, 2025

Summary

This summary is machine-generated.

MiMiC is a new framework for efficient multiscale molecular dynamics simulations. It uses specialized external programs for complex systems, enhancing computational chemistry research.

Keywords:

Molecular dynamics Multiscale modeling Multiscale simulations QM/MM

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

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Published on: April 12, 2019

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Last Updated: May 9, 2025

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

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Area of Science:

Computational chemistry
Molecular dynamics simulations
High-performance computing

Background:

Multiscale simulations are crucial for understanding complex chemical phenomena across various scales.
Simulating dynamics requires efficient computational approaches.
Existing methods may lack flexibility in handling diverse subsystems.

Purpose of the Study:

To introduce MiMiC, a novel framework for efficient multiscale molecular dynamics simulations.
To highlight MiMiC's suitability for high-performance computing environments.
To showcase the framework's flexible design for integrating specialized external programs.

Main Methods:

Development of the MiMiC framework for multiscale simulations.
Implementation of a flexible design allowing external subsystem handling.
Integration of specialized computational chemistry programs like OpenMM and CP2K.

Main Results:

MiMiC enables efficient multiscale molecular dynamics simulations.
The framework's design facilitates the management of complex systems.
Successful integration with OpenMM and CP2K demonstrates its versatility.

Conclusions:

MiMiC provides an efficient and flexible platform for advanced molecular dynamics simulations.
The framework is well-suited for high-performance computing, advancing computational chemistry.
Recent advancements, including OpenMM and CP2K integration, enhance MiMiC's capabilities.