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Molecular-Dynamics Simulation Methods for Macromolecular Crystallography

View ORCID ProfileDavid C. Wych, View ORCID ProfilePhillip C. Aoto, View ORCID ProfileLily Vu, View ORCID ProfileAlexander M. Wolff, View ORCID ProfileDavid L. Mobley, View ORCID ProfileJames S. Fraser, View ORCID ProfileSusan S. Taylor, View ORCID ProfileMichael E. Wall
doi: https://doi.org/10.1101/2022.04.04.486986
David C. Wych
1Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
2Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
3Department of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA
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Phillip C. Aoto
4Department of Pharmacology, University of California, San Diego, La Jolla, CA, 92093
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Lily Vu
4Department of Pharmacology, University of California, San Diego, La Jolla, CA, 92093
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Alexander M. Wolff
5Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94158, USA
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David L. Mobley
3Department of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA
6Department of Chemistry, University of California, Irvine, CA, 92697, USA
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James S. Fraser
5Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94158, USA
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Susan S. Taylor
4Department of Pharmacology, University of California, San Diego, La Jolla, CA, 92093
7Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093
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Michael E. Wall
1Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
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  • For correspondence: mewall@lanl.gov
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Abstract

To assess the potential benefits of molecular-dynamics (MD) simulations for macromolecular crystallography (MX), we performed room-temperature X-ray diffraction studies of the catalytic subunit of mouse protein kinase A (PKA-C). We then performed crystalline MD simulations of PKA-C, computed simulated electron densities from the water, protein, and ion components of the MD simulations, and carefully compared them to the initial crystal structure. The results led to the development of an MD-MX analysis procedure and several associated methods: 1) density comparison to evaluate consistency between the MD and the initial crystal structure model; 2) water building to generate alternative solvent models; and 3) protein remodeling to improve the crystal structure where interpretation of density is unclear. This procedure produced a revised structure of PKA with a new ordered water model and a modified protein structure. The revisions yield new insights into PKA mechanisms, including: a sensitivity of the His294 conformation to protonation state, with potential consequences for regulation of substrate binding; a remodeling of the Lys217 side chain along with a bound phosphate; an alternative conformation for Lys213 associated with binding to the regulatory subunit; and an alternative conformation for catalytic base Asp166 and nearby waters, suggesting a mechanism of progression of the phosphotransfer reaction via changes in Mg2+ coordination. Based on the benefits seen applying these methods to PKA, we recommend incorporating our MD-MX procedure into MX studies, to decide among ambiguous interpretations of electron density that occur, inevitably, as part of standard model refinement.

Competing Interest Statement

PCA is currently an employee of Eli Lilly and Company. DLM is on the Scientific Advisory Board of OpenEye Scientific Software and is an Open Science Fellow with Roivant. JSF is a consultant for, has equity in, and receives research support from Relay Therapeutics.

Footnotes

  • Los Alamos National Laboratory Technical Release Number: LA-UR-22-22761

    Preprint Server: bioRxiv

  • https://www.github.com/lanl/lunus

Copyright 
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-ND 4.0 International license.
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Posted April 05, 2022.
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Molecular-Dynamics Simulation Methods for Macromolecular Crystallography
David C. Wych, Phillip C. Aoto, Lily Vu, Alexander M. Wolff, David L. Mobley, James S. Fraser, Susan S. Taylor, Michael E. Wall
bioRxiv 2022.04.04.486986; doi: https://doi.org/10.1101/2022.04.04.486986
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Molecular-Dynamics Simulation Methods for Macromolecular Crystallography
David C. Wych, Phillip C. Aoto, Lily Vu, Alexander M. Wolff, David L. Mobley, James S. Fraser, Susan S. Taylor, Michael E. Wall
bioRxiv 2022.04.04.486986; doi: https://doi.org/10.1101/2022.04.04.486986

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