Zooming in on disordered systems: neutron reflection studies of proteins associated with fluid membranes

Biochim Biophys Acta. 2014 Sep;1838(9):2341-9. doi: 10.1016/j.bbamem.2014.03.007. Epub 2014 Mar 25.

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. This article is part of a Special Issue entitled: Interfacially Active Peptides and Proteins. Guest Editors: William C. Wimley and Kalina Hristova.

Keywords: Composition-space modeling; MD simulation; Membrane protein; Membrane structure; Scattering techniques.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Humans
  • Lipid Bilayers / chemistry*
  • Membrane Proteins / chemistry*
  • Models, Molecular
  • Molecular Dynamics Simulation*
  • Neutrons
  • Peptides / chemistry*
  • Protein Structure, Secondary

Substances

  • Lipid Bilayers
  • Membrane Proteins
  • Peptides