| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Arleth, Lise
University of Copenhagen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (15/15 displayed)
- 2023Modeling of flexible membrane-bound biomolecular complexes for solution small-angle scatteringcitations
- 2023Aggregative adherence fimbriae form compact structures as seen by SAXScitations
- 2022Mg2+-dependent conformational equilibria in CorA and an integrated view on transport regulationcitations
- 2022Mg2+-dependent conformational equilibria in CorA and an integrated view on transport regulationcitations
- 2021Mg2+-dependent conformational equilibria in CorA: an integrated view on transport regulation
- 2021The microscopic distribution of hydrophilic polymers in interpenetrating polymer networks (IPNs) of medical grade siliconecitations
- 2020Assessment of structure factors for analysis of small-angle scattering data from desired or undesired aggregatescitations
- 2020Dispersion state of TiO2 pigment particles studied by ultra-small-angle X-ray scattering revealing dependence on dispersant but limited change during drying of paint coatingcitations
- 2019Circularized and solubility-enhanced MSPs facilitate simple and high-yield production of stable nanodiscs for studies of membrane proteins in solutioncitations
- 2016Construction of insulin 18-mer nanoassemblies driven by coordination to Iron(II) and Zinc(II) ions at distinct sitescitations
- 2016Dimeric peptides with three different linkers self-assemble with phospholipids to form peptide nanodiscs that stabilize membrane proteinscitations
- 2015Small-angle scattering determination of the shape and localization of human cytochrome P450 embedded in a phospholipid nanodisc environmentcitations
- 2014Stealth carriers for low-resolution structure determination of membrane proteins in solutioncitations
- 2013Self-assembly of designed coiled coil peptides studied by small-angle X-ray scattering and analytical ultracentrifugationcitations
- 2013WillItFitcitations
Places of action
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article
Assessment of structure factors for analysis of small-angle scattering data from desired or undesired aggregates
Abstract
Aggregation processes are central features of many systems ranging from colloids and polymers to inorganic nanoparticles and biological systems. Some aggregated structures are controlled and desirable, e.g. in the design of size-controlled clustered nanoparticles or some protein-based drugs. In other cases, the aggregates are undesirable, e.g. protein aggregation involved in neurodegenerative diseases or in vitro studies of single protein structures. In either case, experimental and analytical tools are needed to cast light on the aggregation processes. Aggregation processes can be studied with small-angle scattering, but analytical descriptions of the aggregates are needed for detailed structural analysis. This paper presents a list of useful small-angle scattering structure factors, including a novel structure factor for a spherical cluster with local correlations between the constituent particles. Several of the structure factors were renormalized to get correct limit values in both the high-q and low-q limit, where q is the modulus of the scattering vector. The structure factors were critically evaluated against simulated data. Structure factors describing fractal aggregates provided approximate descriptions of the simulated data for all tested structures, from linear to globular aggregates. The addition of a correlation hole for the constituent particles in the fractal structure factors significantly improved the fits in all cases. Linear aggregates were best described by a linear structure factor and globular aggregates by the newly derived spherical cluster structure factor. As a central point, it is shown that the structure factors could be used to take aggregation contributions into account for samples of monomeric protein containing a minor fraction of aggregated protein. After applying structure factors in the analysis, the correct structure and oligomeric state of the protein were determined. Thus, by careful use of the presented structure factors, important structural information can be retrieved ...