2020
DOI: 10.1007/s00249-020-01453-w
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Using modern approaches to sedimentation velocity to detect conformational changes in proteins

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Cited by 7 publications
(4 citation statements)
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“…The major discrepancy is in the a/b ratio derived from the Perrin (P) function, which severely overestimated the degree of extension in the molecules in reference to the estimate by the Scheraga-Mandelkern β function and hydrodynamic modeling. Hydrodynamic predictions tend to be especially useful when evaluating the plausibility of several different conformational models, rather than describing the exact shape and dimensions of a given molecule in solution (Brautigam et al 2020; Marx et al 2020; Monsen et al 2021; Rocco and Byron 2015b; Yarawsky et al 2022). Despite minor inconsistencies in the hydrodynamic predictions and experimental data, it is very clear that there is increasing extension from BSA to Brpt1.5 and Brpt5.5.…”
Section: Resultsmentioning
confidence: 99%
“…The major discrepancy is in the a/b ratio derived from the Perrin (P) function, which severely overestimated the degree of extension in the molecules in reference to the estimate by the Scheraga-Mandelkern β function and hydrodynamic modeling. Hydrodynamic predictions tend to be especially useful when evaluating the plausibility of several different conformational models, rather than describing the exact shape and dimensions of a given molecule in solution (Brautigam et al 2020; Marx et al 2020; Monsen et al 2021; Rocco and Byron 2015b; Yarawsky et al 2022). Despite minor inconsistencies in the hydrodynamic predictions and experimental data, it is very clear that there is increasing extension from BSA to Brpt1.5 and Brpt5.5.…”
Section: Resultsmentioning
confidence: 99%
“…The SV-AUC (sedimentation velocity-AUC) approach has been widely used to study purity, aggregation, and conformational changes of biomolecules. Brautigam and colleagues compared the c(s) distribution method with the difference sedimentation velocity (DSV) method to investigate the detection of ligand-induced conformational changes in proteins (Brautigam et al (2020)). They also developed a new programme (DiSECT) to automate DSV data analysis and compared the benefits as well as challenges of each method.…”
Section: General Methodsmentioning
confidence: 99%
“…The availability of absorbance, refractive and fluorescence detection allows AUC's application to a broad range of samples and solvents. Size distribution analysis by boundary sedimentation velocity AUC (SV-AUC) offers access to a wide range of sample characterization information that includes the following: structural heterogeneity (e.g., fragmentation, aggregation and chemical composition) [13], concentration [15], interactions [14], changes in conformation [16] and sample consistency [10] with few solvent matrix limitations, minimum sample manipulation and easy method development [7]. Importantly, AUC readily offers significant and unique possibilities for characterizing the new classes of very large, complex molecular biopharmaceutical gene therapy delivery systems that are now being actively developed, such as viral vectors [17,18], liposomes and nanoparticles [19][20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%