Interpreting macromolecular diffraction through simulation.

X-ray crystallography diffraction pattern diffuse scattering simulated 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: 27 9 2023
pubmed: 26 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

This chapter discusses the use of diffraction simulators to improve experimental outcomes in macromolecular crystallography, in particular for future experiments aimed at diffuse scattering. Consequential decisions for upcoming data collection include the selection of either a synchrotron or free electron laser X-ray source, rotation geometry or serial crystallography, and fiber-coupled area detector technology vs. pixel-array detectors. The hope is that simulators will provide insights to make these choices with greater confidence. Simulation software, especially those packages focused on physics-based calculation of the diffraction, can help to predict the location, size, shape, and profile of Bragg spots and diffuse patterns in terms of an underlying physical model, including assumptions about the crystal's mosaic structure, and therefore can point to potential issues with data analysis in the early planning stages. Also, once the data are collected, simulation may offer a pathway to improve the measurement of diffraction, especially with weak data, and might help to treat problematic cases such as overlapping patterns.

Identifiants

pubmed: 37748827
pii: S0076-6879(23)00216-1
doi: 10.1016/bs.mie.2023.06.011
pii:
doi:

Substances chimiques

Macromolecular Substances 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

195-222

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM117126
Pays : United States
Organisme : NIGMS NIH HHS
ID : P30 GM133894
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Iris D Young (ID)

Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Derek Mendez (D)

Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, United States.

Billy K Poon (BK)

Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Johannes P Blaschke (JP)

National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Felix Wittwer (F)

National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Michael E Wall (ME)

Computer, Computational and Statistical Sciences Division, Los Alamos, NM, United States.

Nicholas K Sauter (NK)

Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States. Electronic address: nksauter@lbl.gov.

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Classifications MeSH