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Structural Heterogeneity in Single Particle Imaging Using X-ray Lasers

  • One of the challenges facing single particle imaging with ultrafast X-ray pulses is the structural heterogeneity of the sample to be imaged. For the method to succeed with weakly scattering samples, the diffracted images from a large number of individual proteins need to be averaged. The more the individual proteins differ in structure, the lower the achievable resolution in the final reconstructed image. We use molecular dynamics to simulate two globular proteins in vacuum, fully desolvated as well as with two different solvation layers, at various temperatures. We calculate the diffraction patterns based on the simulations and evaluate the noise in the averaged patterns arising from the structural differences and the surrounding water. Our simulations show that the presence of a minimal water coverage with an average 3 Å thickness will stabilize the protein, reducing the noise associated with structural heterogeneity, whereas additional water will generate more background noise.

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Metadaten
Author:Thomas Mandl, Christofer Östlin, Ibrahim E. Dawod, Maxim N. Brodmerkel, Erik G. Marklund, Andrew V. Martin, Nicusor Timneanu, Carl Caleman
Parent Title (English):The Journal of Physical Chemistry Letters
Document Type:Article
Language:English
Completed Date:2020/08/06
Date of first Publication:2020/10/12
Responsibility for metadata:Fachhochschule Technikum Wien
Release Date:2020/10/12
GND Keyword:Layers; Peptides and proteins; Physical and chemical processes; Physical and chemical properties; Protein structure
Volume:2020
Issue:Volume 11, Issue 15
First Page:6077
Last Page:6083
Publish on Website:1
Open Access:1
Reviewed:0
Link to Publication:https://doi.org/10.1021/acs.jpclett.0c01144
Link to Publication:https://zenodo.org/record/4087872#.X4axW8Izb3g
Department:Department Computer Science
Research Focus:Sonstiges
Projects:Import
Studienjahr:2019/2020