Molecular-dynamics simulations of macromolecular diffraction, part I: Preparation of protein crystal simulations.

Crystalline molecular-dynamics simulations Diffuse scattering Macromolecular crystallography X-ray diffraction

Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2023
Historique:
medline: 23 10 2023
pubmed: 26 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

Molecular-dynamics (MD) simulations of protein crystals enable the prediction of structural and dynamical features of both the protein and the solvent components of macromolecular crystals, which can be validated against diffraction data from X-ray crystallographic experiments. The simulations have been useful for studying and predicting both Bragg and diffuse scattering in protein crystallography; however, the preparation is not yet automated and includes choices and tradeoffs that can impact the results. Here we examine some of the intricacies and consequences of the choices involved in setting up MD simulations of protein crystals for the study of diffraction data, and provide a recipe for preparing the simulations, packaged in an accompanying Jupyter notebook. This article and the accompanying notebook are intended to serve as practical resources for researchers wishing to put these models to work.

Identifiants

pubmed: 37748833
pii: S0076-6879(23)00213-6
doi: 10.1016/bs.mie.2023.06.008
pii:
doi:

Substances chimiques

Proteins 0
Solvents 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

87-114

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

David C Wych (DC)

Computer, Computational and Statistical Sciences Division, Los Alamos, NM, United States; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, United States.

Michael E Wall (ME)

Computer, Computational and Statistical Sciences Division, Los Alamos, NM, United States. Electronic address: mewall@lanl.gov.

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Classifications MeSH