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SDA 7: A modular and parallel implementation of the simulation of diffusional association software.

Michael Martinez¹, Neil J Bruce¹, Julia Romanowska¹

¹Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, 69118, Heidelberg, Germany.

Journal of Computational Chemistry

|July 1, 2015

Summary

The Simulation of Diffusional Association (SDA) software has been updated to version 7, consolidating features and enhancing parallel performance for biomacromolecular dynamics simulations. This new release improves efficiency on modern multicore architectures.

Keywords:

Brownian dynamics biomacromolecular diffusion macromolecular association parallelization protein adsorption protein flexibility protein-solid state interactions

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Area of Science:

Computational Biology
Biophysics
Biochemistry

Background:

The Simulation of Diffusional Association (SDA) software is a key tool for studying biomacromolecular association.
Previous versions have been extended for diverse applications like electron transfer and protein adsorption.
Divergent versions necessitated a consolidated, updated release.

Purpose of the Study:

To introduce the latest version of the SDA software, SDA 7.
To consolidate existing functionalities into a unified framework.
To enhance computational efficiency using modern multicore architectures.

Main Methods:

Development of SDA 7 using a modular, object-oriented programming scheme.
Implementation of improved parallelization for shared memory systems.
Inclusion of new features like flexible solute representations.

Main Results:

Consolidation of divergent SDA versions into a single, maintainable framework.
Enhanced parallel performance on multicore processors.
Demonstrated capabilities through application examples and benchmarking.

Conclusions:

SDA 7 provides a unified and efficient platform for biomacromolecular dynamics simulations.
The modular design facilitates future maintenance and extensions.
Improved parallelization enables the study of larger and more complex systems.