Unlabelled: Complex formation and conformational transitions of biological macromolecules in solution can be effectively studied using the information about overall shape and size provided by small angle X-ray scattering (SAXS). Hybrid modeling is often applied to integrate high-resolution models into SAXS data analysis. To facilitate this task, we present SASpy, a PyMOL plugin that provides an easy-to-use graphical interface for SAXS-based hybrid modeling. Through a few mouse clicks in SASpy, low-resolution models can be superimposed to high-resolution structures, theoretical scattering profiles and fits can be calculated and displayed on-the-fly. Mouse-based manual rearrangements of complexes are conveniently applied to rapidly check and interactively refine tentative models. Interfaces to automated rigid-body and flexible refinement of macromolecular models against the experimental SAXS data are provided.
Availability And Implementation: SASpy is available as open source at: github.com/emblsaxs/saspy/. Working installations of both PyMOL (www.pymol.org) and ATSAS (www.embl-hamburg.de/biosaxs/download.html) are required.
Contact: apanjkovich@embl-hamburg.de or svergun@embl-hamburg.de.
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http://dx.doi.org/10.1093/bioinformatics/btw071 | DOI Listing |
J Appl Crystallogr
February 2021
European Molecular Biology Laboratory, Hamburg Site, Notkestrasse 85, Building 25 A, Hamburg, 22607, Germany.
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.
View Article and Find Full Text PDFJ Appl Crystallogr
August 2017
European Molecular Biology Laboratory, Hamburg Outstation, Notkestrasse 85, D-22607 Hamburg, Germany.
is a comprehensive software suite for the analysis of small-angle scattering data from dilute solutions of biological macromolecules or nanoparticles. It contains applications for primary data processing and assessment, bead modelling, and model validation, as well as methods for the analysis of flexibility and mixtures. In addition, approaches are supported that utilize information from X-ray crystallography, nuclear magnetic resonance spectroscopy or atomistic homology modelling to construct hybrid models based on the scattering data.
View Article and Find Full Text PDFBioinformatics
July 2016
European Molecular Biology Laboratory, Hamburg Outstation, EMBL C/O DESY, Hamburg 22607, Germany.
Unlabelled: Complex formation and conformational transitions of biological macromolecules in solution can be effectively studied using the information about overall shape and size provided by small angle X-ray scattering (SAXS). Hybrid modeling is often applied to integrate high-resolution models into SAXS data analysis. To facilitate this task, we present SASpy, a PyMOL plugin that provides an easy-to-use graphical interface for SAXS-based hybrid modeling.
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