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Journal of synchrotron radiation 28(3), 812-823 (2021). doi:10.1107/S1600577521003404, Small-angle X-ray scattering (SAXS) is an established method for studyingnanostructured systems and in particular biological macromolecules in solution.To obtain element-specific information about the sample, anomalous SAXS(ASAXS) exploits changes of the scattering properties of selected atoms whenthe energy of the incident X-rays is close to the binding energy of their electrons.While ASAXS is widely applied to condensed matter and inorganic systems, itsuse for biological macromolecules is challenging because of the weak anomalouseffect. Biological objects are often only available in small quantities and areprone to radiation damage, which makes biological ASAXS measurements verychallenging. The BioSAXS beamline P12 operated by the European MolecularBiology Laboratory (EMBL) at the PETRA III storage ring (DESY, Hamburg)is dedicated to studies of weakly scattering objects. Here, recent developmentsat P12 allowing for ASAXS measurements are presented. The beamline control,data acquisition and data reduction pipeline of the beamline were adaptedto conduct ASAXS experiments. Modelling tools were developed to computeASAXS patterns from atomic models, which can be used to analyze the data andto help designing appropriate data collection strategies. These developments areillustrated with ASAXS experiments on different model systems performed atthe P12 beamline., Published by Wiley-Blackwell, [S.l.]

The ATSAS 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 ATSAS 3.0 package are described. They include IMSIM, for simulating isotropic 2D scattering patterns; IMOP, to perform operations on 2D images and masks; DATRESAMPLE, a method for variance estimation of structural invariants through parametric resampling; DATFT, which computes the pair distance distribution function by a direct Fourier transform of the scattering data; PDDFFIT, to compute the scattering data from a pair distance distribution function, allowing comparison with the experimental data; a new module in DATMW for Bayesian consensus‐based concentration‐independent molecular weight estimation; DATMIF, an ab initio shape analysis method that optimizes the search model directly against the scattering data; DAMEMB, an application to set up the initial search volume for multiphase modelling of membrane proteins; ELLLIP, to perform quasi‐atomistic modelling of liposomes with elliptical shapes; NMATOR, which models conformational changes in nucleic acid structures through normal mode analysis in torsion angle space; DAMMIX, which reconstructs the shape of an unknown intermediate in an evolving system; and LIPMIX and BILMIX, for modelling multilamellar and asymmetric lipid vesicles, respectively. In addition, technical updates were deployed to facilitate maintainability of the package, which include porting the PRIMUS graphical interface to Qt5, updating SASpy – a PyMOL plugin to run a subset of ATSAS tools – to be both Python 2 and 3 compatible, and adding utilities to facilitate mmCIF compatibility in future ATSAS releases. All these features are implemented in ATSAS 3.0, freely available for academic users at https://www.embl‐hamburg.de/biosaxs/software.html., ATSAS is a comprehensive software suite for the processing, visualization, analysis and modelling of small‐angle scattering data. This article describes developments in the ATSAS 3.0 release, including new programs for data simulation and for the structural modelling of lipids, nucleic acids and polydisperse systems. image

Journal of applied crystallography 53(2), 536 - 539 (2020). doi:10.1107/S1600576720000527, This article presents IMSIM, an application to simulate two-dimensional small-angle X-ray scattering patterns and, further, one-dimensional profiles from biological macromolecules in solution. IMSIM implements a statistical approach yielding two-dimensional images in TIFF, CBF or EDF format, which may be readily processed by existing data-analysis pipelines. Intensities and error estimates of one-dimensional patterns obtained from the radial average of the two-dimensional images exhibit the same statistical properties as observed with actual experimental data. With initial input on an absolute scale, [cm$^{−1}$]/c[mg ml$^{−1}$], the simulated data frames may also be scaled to absolute scale such that the forward scattering after subtraction of the background is proportional to the molecular weight of the solute. The effects of changes of concentration, exposure time, flux, wavelength, sample–detector distance, detector dimensions, pixel size, and the mask as well as incident beam position can be considered for the simulation. The simulated data may be used in method development, for educational purposes, and also to determine the most suitable beamline setup for a project prior to the application and use of the actual beamtime. IMSIM is available as part of the ATSAS software package (3.0.0) and is freely available for academic use (http://www.embl-hamburg.de/biosaxs/download.html)., Published by Wiley-Blackwell, [S.l.]

Journal of synchrotron radiation 25(3), 906 - 914 (2018). doi:10.1107/S1600577518005398, The versatility of small-angle X-ray scattering (SAXS) as a structural biology method is apparent by its compatibility with many experimental set-ups. Most advanced SAXS studies are conducted at dedicated synchrotron beamlines yielding high beam brilliance, throughput and temporal resolution. However, utilizing the full potential of the method while preserving a high degree of automation provides a challenge to any SAXS beamline. This challenge is especially pertinent at the P12 BioSAXS beamline of the EMBL at the PETRAIII Synchrotron DESY (Hamburg, Germany), optimized and dedicated to scattering of macromolecular solutions. Over 200 unique set-ups are possible at this beamline offering various functionalities, including different temporal and spatial resolutions. Presented here is a beamline control and data-acquisition software, BECQUEREL, designed to maximize flexibility and automation in the operation of P12. In the frame of a single intuitive interface the control system allows for convenient operation with all hardware set-ups available at P12 including a robotic sample changer, in-line size-exclusion chromatography, stop-flow devices, microfluidic spinning disk and various in-air settings. Additional functionalities are available to assist the data-collection procedure for novice users, and also routine operation of the support staff., Published by Wiley-Blackwell, [S.l.]

Molecular mass (MM) is one of the key structural parameters obtained by small-angle X-ray scattering (SAXS) of proteins in solution and is used to assess the sample quality, oligomeric composition and to guide subsequent structural modelling. Concentration-dependent assessment of MM relies on a number of extra quantities (partial specific volume, calibrated intensity, accurate solute concentration) and often yields limited accuracy. Concentration-independent methods forgo these requirements being based on the relationship between structural parameters, scattering invariants and particle volume obtained directly from the data. Using a comparative analysis on 165,982 unique scattering profiles calculated from high-resolution protein structures, the performance of multiple concentration-independent MM determination methods was assessed. A Bayesian inference approach was developed affording an accuracy above that of the individual methods, and reports MM estimates together with a credibility interval. This Bayesian approach can be used in combination with concentration-dependent MM methods to further validate the MM of proteins in solution, or as a reliable stand-alone tool in instances where an accurate concentration estimate is not available.

The biophysical characterization of protein–ligand interactions in solution using techniques such as thermal shift assay, or on surfaces using, for example, dual polarization interferometry, plays an increasingly important role in complementing crystal structure determinations., Over the last decades, a wide range of biophysical techniques investigating protein–ligand interactions have become indispensable tools to complement high-resolution crystal structure determinations. Current approaches in solution range from high-throughput-capable methods such as thermal shift assays (TSA) to highly accurate techniques including microscale thermophoresis (MST) and isothermal titration calorimetry (ITC) that can provide a full thermodynamic description of binding events. Surface-based methods such as surface plasmon resonance (SPR) and dual polarization interferometry (DPI) allow real-time measurements and can provide kinetic parameters as well as binding constants. DPI provides additional spatial information about the binding event. Here, an account is presented of new developments and recent applications of TSA and DPI connected to crystallography.

Developments and improvements of the ATSAS software suite (versions 2.5–2.8) for analysis of small-angle scattering data of biological macromolecules or nanoparticles are described., ATSAS 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, ab initio 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. This article summarizes the progress made during the 2.5–2.8 ATSAS release series and highlights the latest developments. These include AMBIMETER, an assessment of the reconstruction ambiguity of experimental data; DATCLASS, a multiclass shape classification based on experimental data; SASRES, for estimating the resolution of ab initio model reconstructions; CHROMIXS, a convenient interface to analyse in-line size exclusion chromatography data; SHANUM, to evaluate the useful angular range in measured data; SREFLEX, to refine available high-resolution models using normal mode analysis; SUPALM for a rapid superposition of low- and high-resolution models; and SASPy, the ATSAS plugin for interactive modelling in PyMOL. All these features and other improvements are included in the ATSAS release 2.8, freely available for academic users from https://www.embl-hamburg.de/biosaxs/software.html.

The scaffolding protein PDZK1 has been associated with the regulation of membrane transporters. It contains four conserved PDZ domains, which typically recognize a 3-5-residue long motif at the C terminus of the binding partner. The atomic structures of the individual domains are available but their spatial arrangement in the full-length context influencing the binding properties remained elusive. Here we report a systematic study of full-length PDZK1 and deletion constructs using small-angle X-ray scattering, complemented with biochemical and functional studies on PDZK1 binding to known membrane protein partners. A hybrid modeling approach utilizing multiple scattering datasets yielded a well-defined, extended, asymmetric L-shaped domain organization of PDZK1 in contrast to a flexible "beads-on-string" model predicted by bioinformatics analysis. The linker regions of PDZK1 appear to play a central role in the arrangement of the four domains underlying the importance of studying scaffolding proteins in their full-length context.

Acta crystallographica / A 72(a1), s14 - s14(2016). doi:10.1107/S2053273316099770, Published by Blackwell, Oxford [u.a.]