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: expanded functionality and new tools for small-angle scattering data analysis. | LitMetric

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Article Abstract

The software suite encompasses a number of programs for the processing, visualization, analysis and modelling of small-angle scattering data, with a focus on the data measured from biological macromolecules. Here, new developments in the package are described. They include , for simulating isotropic 2D scattering patterns; , to perform operations on 2D images and masks; , a method for variance estimation of structural invariants through parametric resampling; , which computes the pair distance distribution function by a direct Fourier transform of the scattering data; , to compute the scattering data from a pair distance distribution function, allowing comparison with the experimental data; a new module in for Bayesian consensus-based concentration-independent molecular weight estimation; , an shape analysis method that optimizes the search model directly against the scattering data; , an application to set up the initial search volume for multiphase modelling of membrane proteins; , to perform quasi-atomistic modelling of liposomes with elliptical shapes; , which models conformational changes in nucleic acid structures through normal mode analysis in torsion angle space; , which reconstructs the shape of an unknown intermediate in an evolving system; and and , for modelling multilamellar and asymmetric lipid vesicles, respectively. In addition, technical updates were deployed to facilitate maintainability of the package, which include porting the graphical interface to Qt5, updating - a plugin to run a subset of tools - to be both Python 2 and 3 compatible, and adding utilities to facilitate mmCIF compatibility in future releases. All these features are implemented in , freely available for academic users at https://www.embl-hamburg.de/biosaxs/software.html.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941305PMC
http://dx.doi.org/10.1107/S1600576720013412DOI Listing

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