Visualization of Self-Assembly and Hydration of a β-Hairpin through Integrated Small and Wide-Angle Neutron Scattering

被引:2
|
作者
Laurent, Harrison [1 ]
Hughes, Matt D. G. [1 ,2 ]
Walko, Martin [3 ]
Brockwell, David J. [2 ]
Mahmoudi, Najet [4 ]
Youngs, Tristan G. A. [4 ]
Headen, Thomas F. [4 ]
Dougan, Lorna [1 ,2 ]
机构
[1] Univ Leeds, Sch Phys & Astron, Leeds LS2 9JT, England
[2] Univ Leeds, Astbury Ctr Struct Mol Biol, Leeds LS2 9JT, England
[3] Univ Leeds, Sch Chem, Leeds LS2 9JT, England
[4] Rutherford Appleton Lab, ISIS Neutron & Muon Source, Didcot OX11 0QX, England
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
TRIMETHYLAMINE-N-OXIDE; RADIAL-DISTRIBUTION FUNCTIONS; MOLECULAR-DYNAMICS; PEPTIDE HYDROGELS; WATER-STRUCTURE; TRANSMEMBRANE HELICES; HYDROPHOBICITY SCALE; PROTEIN INTERACTIONS; FORCE-FIELD; MODELS;
D O I
10.1021/acs.biomac.3c00583
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Fundamental understanding of the structure and assembly of nanoscale building blocks is crucial for the development of novel biomaterials with defined architectures and function. However, accessing self-consistent structural information across multiple length scales is challenging. This limits opportunities to exploit atomic scale interactions to achieve emergent macroscale properties. In this work we present an integrative small- and wide-angle neutron scattering approach coupled with computational modeling to reveal the multiscale structure of hierarchically self-assembled beta hairpins in aqueous solution across 4 orders of magnitude in length scale from 0.1 angstrom to 300 nm. Our results demonstrate the power of this self-consistent cross-length scale approach and allows us to model both the large-scale self-assembly and small-scale hairpin hydration of the model beta hairpin CLN025. Using this combination of techniques, we map the hydrophobic/hydrophilic character of this model self-assembled biomolecular surface with atomic resolution. These results have important implications for the multiscale investigation of aqueous peptides and proteins, for the prediction of ligand binding and molecular associations for drug design, and for understanding the self-assembly of peptides and proteins for functional biomaterials.
引用
收藏
页码:4869 / 4879
页数:11
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