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Using SMOG 2 to simulate complex biomolecular assemblies

Mariana Levi, Prasad Bandarkar, Huan Yang, Ailun Wang, Udayan Mohanty, Jeffrey K. Noel, Paul C. Whitford
doi: https://doi.org/10.1101/371617
Mariana Levi
1Department of Physics, Northeastern University, Boston, MA, 02120, USA
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Prasad Bandarkar
1Department of Physics, Northeastern University, Boston, MA, 02120, USA
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Huan Yang
1Department of Physics, Northeastern University, Boston, MA, 02120, USA
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Ailun Wang
2Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA
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Udayan Mohanty
2Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA
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Jeffrey K. Noel
3Max Delbrueck Center for Molecular Medicine, Kristallographie,Robert-Roessle-Strasse 10, Berlin 13125, Germany
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Paul C. Whitford
1Department of Physics, Northeastern University, Boston, MA, 02120, USA
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  • For correspondence: p.whitford@northeastern.edu
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Summary

Over the last 20 years, the application of structure-based (Gō-like) models has ranged from protein folding with coarse-grained models to all-atom representations of large-scale molecular assemblies. While there are many variants that may be employed, the common feature of these models is that some (or all) of the stabilizing energetic interactions are defined based on knowledge of a particular experimentally-obtained conformation. With the generality of this approach, there was a need for a versatile computational platform for designing and implementing this class of models. To this end, the SMOG 2 software package provides an easy-to-use interface, where the user has full control of the model parameters. This software allows the user to edit XML-formatted files in order to provide definitions of new structure-based models. SMOG 2 reads these “template” files and maps the interactions onto specific structures, which are provided in PDB format. The force field files produced by SMOG 2 may then be used to perform simulations with a variety of popular molecular dynamics suites. In this chapter, we describe some of the key features of the SMOG 2 package, while providing examples and strategies for applying these techniques to complex (often large-scale) molecular assemblies, such as the ribosome.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 18, 2018.
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Using SMOG 2 to simulate complex biomolecular assemblies
Mariana Levi, Prasad Bandarkar, Huan Yang, Ailun Wang, Udayan Mohanty, Jeffrey K. Noel, Paul C. Whitford
bioRxiv 371617; doi: https://doi.org/10.1101/371617
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Using SMOG 2 to simulate complex biomolecular assemblies
Mariana Levi, Prasad Bandarkar, Huan Yang, Ailun Wang, Udayan Mohanty, Jeffrey K. Noel, Paul C. Whitford
bioRxiv 371617; doi: https://doi.org/10.1101/371617

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