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Journal of Chemical Theory and Computation
Article . 2025 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.48550/ar...
Article . 2025
License: CC BY
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Structure Determination from Single-Molecule X-ray Scattering Images Using Stochastic Gradient Ascent

Authors: Steffen Schultze; D. Russell Luke; Helmut Grubmüller;

Structure Determination from Single-Molecule X-ray Scattering Images Using Stochastic Gradient Ascent

Abstract

Scattering experiments using ultrashort X-ray free electron laser (XFEL) pulses have opened a new path for structure determination of a wide variety of specimens, including nano-crystals and entire viruses, approaching atomistic spatial and femtoseconds time resolution. However, random and unknown sample orientations as well as low signal to noise ratios have so far prevented a successful application to smaller specimens like single biomolecules. We here present resolution-annealed stochastic gradient ascent (RASTA), a new approach for direct atomistic electron density determination, which utilizes our recently developed rigorous Bayesian treatment of single-particle X-ray scattering. We demonstrate electron density determination at 2Å resolution of various small proteins from synthetic scattering images with as low as 15 photons per image.

24 pages, 6 figures

Keywords

Biological Physics (physics.bio-ph), FOS: Physical sciences, Physics - Biological Physics, Computational Physics (physics.comp-ph), Physics - Computational Physics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid