Modeling of flexible membrane-bound biomolecular complexes for solution small-angle scattering

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Recent advances in protein expression protocols, sample handling, and experimental set up of small-angle scattering experiments have allowed users of the technique to structurally investigate biomolecules of growing complexity and structural disorder. Notable examples include intrinsically disordered proteins, multi-domain proteins and membrane proteins in suitable carrier systems. Here, we outline a modeling scheme for calculating the scattering profiles from such complex samples. This kind of modeling is necessary for structural information to be refined from the corresponding data. The scheme bases itself on a hybrid of classical form factor based modeling and the well-known spherical harmonics-based formulation of small-angle scattering amplitudes. Our framework can account for flexible domains alongside other structurally elaborate components of the molecular system in question. We demonstrate the utility of this modeling scheme through a recent example of a structural model of the growth hormone receptor membrane protein in a phospholipid bilayer nanodisc which is refined against experimental SAXS data. Additionally we investigate how the scattering profiles from the complex would appear under different scattering contrasts. For each contrast situation we discuss what structural information is contained and the related consequences for modeling of the data.

OriginalsprogEngelsk
TidsskriftJournal of Colloid and Interface Science
Vol/bind635
Sider (fra-til)611-621
Antal sider11
ISSN0021-9797
DOI
StatusUdgivet - apr. 2023

Bibliografisk note

Funding Information:
The presented work was funded from the Lundbeck Foundation via the Brainstruc project (R155-2015–2666) as well as the Novo Nordisk Foundation Synergy program (#NNF15OC0016670). We thank Noah Kassem for producing the nanodisc-embedded GHR-GFP sample and collecting the presented SAXS data.

Publisher Copyright:
© 2022

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