Interpretation of spectroscopic data using molecular simulations for the secondary active transporter BetP

  • Mechanistic understanding of dynamic membrane proteins such as transporters, receptors, and channels requires accurate depictions of conformational ensembles, and the manner in which they interchange as a function of environmental factors including substrates, lipids, and inhibitors. Spectroscopic techniques such as electron spin resonance (ESR) pulsed electron–electron double resonance (PELDOR), also known as double electron–electron resonance (DEER), provide a complement to atomistic structures obtained from x-ray crystallography or cryo-EM, since spectroscopic data reflect an ensemble and can be measured in more native solvents, unperturbed by a crystal lattice. However, attempts to interpret DEER data are frequently stymied by discrepancies with the structural data, which may arise due to differences in conditions, the dynamics of the protein, or the flexibility of the attached paramagnetic spin labels. Recently, molecular simulation techniques such as EBMetaD have been developed that create a conformational ensemble matching an experimental distance distribution while applying the minimal possible bias. Moreover, it has been proposed that the work required during an EBMetaD simulation to match an experimentally determined distribution could be used as a metric with which to assign conformational states to a given measurement. Here, we demonstrate the application of this concept for a sodium-coupled transport protein, BetP. Because the probe, protein, and lipid bilayer are all represented in atomic detail, the different contributions to the work, such as the extent of protein backbone movements, can be separated. This work therefore illustrates how ranking simulations based on EBMetaD can help to bridge the gap between structural and biophysical data and thereby enhance our understanding of membrane protein conformational mechanisms.

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Author:Vanessa Leone, Izabela Jadwiga Waclawska-Krzeminski, Katharina Kossmann, Caroline Koshy, Monika Sharma, Thomas F. PrisnerORCiD, Christine ZieglerORCiD, Burkhard EndewardORCiD, Lucy R. ForrestORCiD
URN:urn:nbn:de:hebis:30:3-547294
DOI:https://doi.org/10.1085/jgp.201812111
ISSN:1540-7748
ISSN:0022-1295
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/30728216
Parent Title (English):The journal of general physiology
Publisher:Rockefeller Univ. Press
Place of publication:New York, NY
Contributor(s):Janice Robertson
Document Type:Article
Language:English
Year of Completion:2020
Year of first Publication:2020
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2020/05/27
Tag:Computational Biology; Molecular Physiology of the Cell Membrane; Protein Structure and Dynamics
Volume:151
Issue:3
Page Number:14
First Page:381
Last Page:394
Note:
© 2019 Leone et al. This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
HeBIS-PPN:466142005
Institutes:Biochemie, Chemie und Pharmazie / Biochemie und Chemie
Wissenschaftliche Zentren und koordinierte Programme / Zentrum für Biomolekulare Magnetische Resonanz (BMRZ)
Angeschlossene und kooperierende Institutionen / MPI für Biophysik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0