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Journal / Biochemistry / Analysis of SEC-SAXS data via EFA deconvolution…
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Biochemistry

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JoVE Journal Biochemistry
Analysis of SEC-SAXS data via EFA deconvolution and Scatter
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Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Article DOI: 10.3791/61578-v • 10:59 min • January 28th, 2021
January 28th, 2021 •
*1, 2, 3, *4
1European Synchrotron Radiation Facility Structural Biology Group, Structural Biology Group, 2Institut de Biologie Structurale, University Grenoble Alpes, CEA, CNRS, 3Diamond Light Source, 4Laboratoire de Physiologie Cellulaire and Végétale, Université Grenoble Alpes/CNRS/CEA/INRA/BIG
* These authors contributed equally

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Summary
Automatic Translation

SEC-BioSAXS measurements of biological macromolecules are a standard approach for determining solution structure of macromolecules and their complexes. Here, we analyze SEC-BioSAXS data from two types of commonly encountered SEC traces—chromatograms with fully resolved and partially resolved peaks. We demonstrate the analysis and deconvolution using scatter and BioXTAS RAW.

Tags

Analysis SEC-SAXS Data EFA Deconvolution Scatter Program Small-angle X-ray Scattering Macromolecule Macromolecular Complexes Monodispersity Size Exclusion Chromatography SAXS Curve Vaccinia Virus DNA Polymerase Exominus Mutants Background Subtraction Java-based Scatter 4 Program SEC Tab Data Files Output Directory Sample Name Trace Experimental Details Buffer Frames Void Volume Signal Plot Heat Map Plot
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