3.9 Review

Insights into lipid-protein interactions from computer simulations

Journal

BIOPHYSICAL REVIEWS
Volume 13, Issue 6, Pages 1019-1027

Publisher

SPRINGERNATURE
DOI: 10.1007/s12551-021-00876-9

Keywords

Lipid-protein interactions; Membrane proteins; Molecular dynamics simulations; Martini

Categories

Funding

  1. Calculations presented in this work were carried out in part on Compute Canada facilities, supported by the Canada Foundation for Innovation and partners. E. B-O was supported by a Mitacs Globalink Research Award from Mitacs Canada in partnership with Camp
  2. Canada Foundation for Innovation
  3. Mitacs Globalink Research Award from Mitacs Canada
  4. Campus France
  5. UK-Canada Mitacs Globalink doctoral exchange award

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Lipid-protein interactions play a crucial role in the function of membrane proteins, influencing the lipid environment of proteins from different families. Comparative studies on membrane proteins in complex lipid mixtures reveal unique lipid environments for each protein.
Lipid-protein interactions play an important direct role in the function of many membrane proteins. We argue they are key players in membrane structure, modulate membrane proteins in more subtle ways than direct binding, and are important for understanding the mechanism of classes of hydrophobic drugs. By directly comparing membrane proteins from different families in the same, complex lipid mixture, we found a unique lipid environment for every protein. Extending this work, we identified both differences and similarities in the lipid environment of GPCRs, dependent on which family they belong to and in some cases their conformational state, with particular emphasis on the distribution of cholesterol. More recently, we have been studying modes of coupling between protein conformation and local membrane properties using model proteins. In more applied approaches, we have used similar methods to investigate specific hypotheses on interactions of lipid and lipid-like molecules with ion channels. We conclude this perspective with some considerations for future work, including a new more sophisticated coarse-grained force field (Martini 3), an interactive visual exploration framework, and opportunities to improve sampling.

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