Publications by authors named "Dmitry S Molodenskiy"

3 Publications

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

J Appl Crystallogr 2021 Feb 1;54(Pt 1):343-355. Epub 2021 Feb 1.

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. 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://dx.doi.org/10.1107/S1600576720013412DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941305PMC
February 2021

An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions.

Sci Rep 2020 05 15;10(1):8081. Epub 2020 May 15.

European Molecular Biology Laboratory (EMBL) Hamburg Unit, DESY, Notkestrasse 85, 22607, Hamburg, Germany.

The application of small angle X-ray scattering (SAXS) to the structural characterization of transmembrane proteins (MPs) in detergent solutions has become a routine procedure at synchrotron BioSAXS beamlines around the world. SAXS provides overall parameters and low resolution shapes of solubilized MPs, but is also meaningfully employed in hybrid modeling procedures that combine scattering data with information provided by high-resolution techniques (eg. macromolecular crystallography, nuclear magnetic resonance and cryo-electron microscopy). Structural modeling of MPs from SAXS data is non-trivial, and the necessary computational procedures require further formalization and facilitation. We propose an automated pipeline integrated with the laboratory-information management system ISPyB, aimed at preliminary SAXS analysis and the first-step reconstruction of MPs in detergent solutions, in order to streamline high-throughput studies, especially at synchrotron beamlines. The pipeline queries an ISPyB database for available a priori information via dedicated services, estimates model-free SAXS parameters and generates preliminary models utilizing either ab initio, high-resolution-based, or mixed/hybrid methods. The results of the automated analysis can be inspected online using the standard ISPyB interface and the estimated modeling parameters may be utilized for further in-depth modeling beyond the pipeline. Examples of the pipeline results for the modelling of the tetrameric alpha-helical membrane channel Aquaporin0 and mechanosensitive channel T2, solubilized by n-Dodecyl β-D-maltoside are presented. We demonstrate how increasing the amount of a priori information improves model resolution and enables deeper insights into the molecular structure of protein-detergent complexes.
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http://dx.doi.org/10.1038/s41598-020-64933-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228933PMC
May 2020

SASBDB: Towards an automatically curated and validated repository for biological scattering data.

Protein Sci 2020 01 11;29(1):66-75. Epub 2019 Oct 11.

European Molecular Biology Laboratory, Hamburg Outstation, Hamburg, Germany.

Small-angle scattering (SAS) of X-rays and neutrons is a fundamental tool to study the nanostructural properties, and in particular, biological macromolecules in solution. In structural biology, SAS recently transformed from a specialization into a general technique leading to a dramatic increase in the number of publications reporting structural models. The growing amount of data recorded and published has led to an urgent need for a global SAS repository that includes both primary data and models. In response to this, a small-angle scattering biological data bank (SASBDB) was designed in 2014 and is available for public access at www.sasbdb.org. SASBDB is a comprehensive, free and searchable repository of SAS experimental data and models deposited together with the relevant experimental conditions, sample details and instrument characteristics. SASBDB is rapidly growing, and presently has over 1,000 entries containing more than 1,600 models. We describe here the overall organization and procedures of SASBDB paying most attention to user-relevant information during submission. Perspectives of further developments, in particular, with OneDep system of the Protein Data Bank, and also widening of SASBDB including new types of data/models are discussed.
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http://dx.doi.org/10.1002/pro.3731DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933840PMC
January 2020
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