Membrane lateral organization from potential energy disconnectivity graph

Biophys Chem. 2024 Oct:313:107284. doi: 10.1016/j.bpc.2024.107284. Epub 2024 Jun 21.

Abstract

Understanding the thermodynamic and kinetic properties of biomolecules requires elucidation of their complex energy landscape. A disconnectivity graph analysis of the energy landscape provides a framework for mapping the multi-dimensional landscape onto a two-dimensional representation while preserving the key features of the energy landscape. Several studies show that the structure or shape of the disconnectity graph is directly associated with the function of protein and nucleic acid molecules. In this review, we discuss how disconnectivity analysis of the potential energy surface can be extended to lipid molecules to glean important information about membrane organization. The shape of the disconnectivity graphs can be used to predict the lateral organization of multi-component lipid bilayer. We hope that this review encourages the use of disconnectivity graphs routinely by membrane biophysicists to predict the lateral organization of lipids.

Keywords: Disconnectivity graph; Lateral heterogeneity; Lipid membrane organization; Membrane biophysics; Molecular simulations; Potential energy surface.

Publication types

  • Review

MeSH terms

  • Cell Membrane / chemistry
  • Cell Membrane / metabolism
  • Lipid Bilayers* / chemistry
  • Lipid Bilayers* / metabolism
  • Thermodynamics*

Substances

  • Lipid Bilayers