BASDet: Bayesian approach(es) for structure determination from single molecule X-ray diffraction images

Published: 14 Mar 2019 | Version 1 | DOI: 10.17632/n9ph7httzh.1

Description of this data

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Abstract
X-ray free electron lasers (XFEL) are expected to enable molecular structure determination in single molecule diffraction experiments. In this paper, we describe an implementation of two orthogonal Bayesian approaches, previously introduced in Walczak and Grubmüller (2014), capable of extracting structure information from sparse and noisy diffraction images obtained in these experiments. In the ‘Orientational Bayes’ approach, a ‘seed’ model is used to determine for every recorded diffraction ...

Title of program: BASDet
Catalogue Id: AEZH_v1_0

Nature of problem
Extracting structural information from sparse and noisy single molecule XFEL diffraction images.

Versions of this program held in the CPC repository in Mendeley Data
AEZH_v1_0; BASDet; 10.1016/j.cpc.2015.12.014

Experiment data files

This data is associated with the following publication:

BASDet: Bayesian approach(es) for structure determination from single molecule X-ray diffraction images

Published in: Computer Physics Communications

Latest version

  • Version 1

    2019-03-14

    Published: 2019-03-14

    DOI: 10.17632/n9ph7httzh.1

    Cite this dataset

    Walczak, Michał; Grubmüller, Helmut (2019), “BASDet: Bayesian approach(es) for structure determination from single molecule X-ray diffraction images ”, Mendeley Data, v1 http://dx.doi.org/10.17632/n9ph7httzh.1

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Categories

Molecular Biology, Physical Chemistry, Molecular Physics, Biological Sciences, Computational Physics, Computational Method

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GPLv3 Learn more

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