A tool for visualizing protein motions in time-resolved crystallography.


Journal

Structural dynamics (Melville, N.Y.)
ISSN: 2329-7778
Titre abrégé: Struct Dyn
Pays: United States
ID NLM: 101660872

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 09 09 2019
accepted: 06 03 2020
entrez: 9 4 2020
pubmed: 9 4 2020
medline: 9 4 2020
Statut: epublish

Résumé

Time-resolved serial femtosecond crystallography (TR-SFX) at an x-ray free electron laser enables protein structural changes to be imaged on time-scales from femtoseconds to seconds. It can, however, be difficult to grasp the nature and timescale of global protein motions when structural changes are not isolated near a single active site. New tools are, therefore, needed to represent the global nature of electron density changes and their correlation with modeled protein structural changes. Here, we use TR-SFX data from bacteriorhodopsin to develop and validate a method for quantifying time-dependent electron density changes and correlating them throughout the protein. We define a spherical volume of difference electron density about selected atoms, average separately the positive and negative electron difference densities within each volume, and walk this spherical volume through all atoms within the protein. By correlating the resulting difference electron density amplitudes with time, our approach facilitates an initial assessment of the number and timescale of structural intermediates and highlights quake-like motions on the sub-picosecond timescale. This tool also allows structural models to be compared with experimental data using theoretical difference electron density changes calculated from refined resting and photo-activated structures.

Identifiants

pubmed: 32266303
doi: 10.1063/1.5126921
pii: 1.5126921
pmc: PMC7113034
doi:

Types de publication

Journal Article

Langues

eng

Pagination

024701

Informations de copyright

© 2020 Author(s).

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Auteurs

Cecilia Wickstrand (C)

Department of Chemistry and Molecular Biology, University of Gothenburg, Box 462, SE-40530 Gothenburg, Sweden.

Gergely Katona (G)

Department of Chemistry and Molecular Biology, University of Gothenburg, Box 462, SE-40530 Gothenburg, Sweden.

Przemyslaw Nogly (P)

Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, 8093 Zürich, Switzerland.

Joerg Standfuss (J)

Laboratory of Biomolecular Research, Department of Biology and Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland.

Richard Neutze (R)

Department of Chemistry and Molecular Biology, University of Gothenburg, Box 462, SE-40530 Gothenburg, Sweden.

Classifications MeSH