Published April 15, 2024 | Version v1
Journal article Open

Functional protein dynamics in a crystal

  • 1. University of Toronto
  • 2. University of Chicago
  • 3. University of Toronto Mississauga

Description

Proteins are molecular machines and to understand how they work, we need to understand how they move. New pump-probe time-resolved X-ray diffraction methods open up ways to initiate and observe protein motions with atomistic detail in crystals on biologically relevant timescales. However, practical limitations of these experiments demands parallel development of effective molecular dynamics approaches to accelerate progress and extract meaning. Here, we establish robust and accurate methods for simulating dynamics in protein crystals, a nontrivial process requiring careful attention to equilibration, environmental composition, and choice of force fields. With more than seven milliseconds of sampling of a single chain, we identify critical factors controlling agreement between simulation and experiments and show that simulated motions recapitulate ligand-induced conformational changes. This work enables a virtuous cycle between simulation and experiments for visualizing and understanding the basic functional motions of proteins.

Data availability

Full details of computational methods and supplementary notes are provided in Supplementary Information. The MD simulation data (the initial and final coordinates) for all systems have been deposited to the Zenodo repository and are available from https://doi.org/10.5281/zenodo.7987473. The data underlying Figs. 1-5 are available in the Source Data file. The crystallographic data used in this study are available from the Protein Data Bank under accession code 5E11 [https://doi.org/10.2210/pdb5E11/pdb] (Ground state of the PDZ2 domain) and 5E21 [https://doi.org/10.2210/pdb5E21/pdb] (PDZ2 domain in electric field). The Top8000 dataset used in this study for assessing dihedral angle distributions in the crystal environment is available from GitHub [https://github.com/rlabduke/reference_data]. Source data are provided with this paper.

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Additional details

Identifiers

DOI
10.1038/s41467-024-47473-4
Other
oai:uchicago.tind.io:11553

Funding

Connaught New Researcher Award
Natural Science and Engineering Research Council of Canada (NSERC)
Discovery Grant
Digital Research Alliance of Canada
National Institute of General Medical Sciences
F32GM134721
National Institute of General Medical Sciences
RO1GM12345
National Institute of General Medical Sciences
RO1GM141697
National Institute of General Medical Sciences
P41GM118217

UChicago Information

Division(s)
Biological Sciences Division, Pritzker School of Molecular Engineering
Department(s)
Biochemistry and Molecular Biology, Ecology and Evolution
Center(s) or Institute(s)
Center for the Physics of Evolving Systems