Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Zooming in on Disordered Systems: Neutron Reflection Studies of Proteins Associated with Fluid Membranes

Published

Author(s)

Frank Heinrich, Peter M. Loesche

Abstract

Neutron reflectometry (NR) is an emerging experimental technique for the structural characterization of proteins interacting with fluid bilayer membranes under conditions that mimic closely the cellular environment. Thus, cellular processes can be emulated in artificial systems and their molecular basis studied by adding cellular components one at a time in a well-controlled environment while the resulting structures, or structural changes in response to external cues, are monitored with neutron reflection. In recent years, sample environments, data collection strategies and data analysis were continuously refined. The combination of these improvements increases the information which can be obtained from NR to an extent that enables structural characterization of protein-membrane complexes at a length scale that exceeds the resolution of the measurement by far. Ultimately, the combination of NR with molecular dynamics (MD) simulations can be used to cross-validate the results of the two techniques and provide atomic-scale structural models. This review discusses these developments in detail and demonstrates how they provide new windows into relevant biomedical problems.
Citation
Biochimica Et Biophysica Acta-Biomembranes
Volume
1838

Keywords

neutron reflectometry, membrane proteins

Citation

Heinrich, F. and Loesche, P. (2014), Zooming in on Disordered Systems: Neutron Reflection Studies of Proteins Associated with Fluid Membranes, Biochimica Et Biophysica Acta-Biomembranes, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915273 (Accessed April 29, 2024)
Created September 1, 2014, Updated February 19, 2017