Physics-based evolution of transmembrane helices reveals mechanisms of cholesterol attraction
Year: 2025
Type: article
Abstract: The existence of linear cholesterol-recognition motifs in transmembrane domains has long been debated. Evolutionary molecular dynamics (Evo-MD) simulations-genetic algorithms guided by (coarse-grained) molecular force-fields-reveal that thermodynamic optimal cholesterol attraction in isolated alpha-helical transmembrane domains occurs when multiple consecutive lysine/arginine residues flank a short hydrophobic segment. These findings are supported by atomistic simulations and solid-state NMR experiments. Our analyses illustrate that linear motifs in transmembrane domains exhibit weak binding affinity for cholesterol, characterized by sub-microsecond residence times, challenging the predictive value of linear CRAC/CARC motifs for cholesterol binding. Membrane protein database analyses suggest even weaker affinity for native linear motifs, whereas live cell assays demonstrate that optimizing cholesterol binding restricts transmembrane domains to the endoplasmic reticulum post-translationally. In summary, these findings contribute to our understanding of cholesterol-protein interactions and offer insight into the mechanisms of protein-mediated cholesterol regulation within membranes.
Source: Nature Communications
Institutions: Leiden University, TU Dortmund University, German Center for Neurodegenerative Diseases, Gdańsk University of Technology, Max Planck Institute for Multidisciplinary Sciences, University of California, San Francisco, Humboldt-Universität zu Berlin, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Charité - Universitätsmedizin Berlin
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
Funders: Deutsche Forschungsgemeinschaft, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Narodowym Centrum Nauki, Deutsches Zentrum für Neurodegenerative Erkrankungen, Infrastruktura PL-Grid, Gauss Centre for Supercomputing, Academic Computer Centre Cyfronet, AGH University of Science and Technology, HORIZON EUROPE European Research Council
OpenAlex ID: W4415354285
