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Low-density lipoprotein (LDL) plays a vital role in human health by carrying
cholesterol and other lipids through the bloodstream to tissues throughout the body.
However, its retention and oxidation within arterial walls can promote atherosclerosis
and downstream cardiovascular disease, the leading cause of death globally. LDL
particles are structurally heterogeneous, consisting of a hydrophobic core rich in
cholesteryl esters and triglycerides surrounded by a surface monolayer of
phospholipids, free cholesterol, and a single copy of apolipoprotein B-100 (apoB).
One of the largest monomeric proteins in the human proteome, apoB wraps around
the particle, stabilizing it and mediating clearance via the LDL receptor. Recently, we
reported the first structure of full-length apoB, determined using cryo-electron
microscopy (cryo-EM), AlphaFold, and molecular dynamics (MD) simulation
(Berndsen and Cassidy, Nature, 2025), and have since extended this framework to
particles of multiple sizes. While these structures clarify underlying conformational
changes in apoB, they provide limited insight into the dynamic organization of the lipid
particle itself. Multiscale MD simulations offer a powerful complementary approach for
resolving lipid structure and dynamics at high resolution. Here, we present a
computational pipeline for constructing atomic and near atomic models of complete
LDL particles guided by cryo-EM density maps. This multiscale approach enables
direct interrogation of lipid-species-specific binding, diffusion, and overall organization
using a Martini coarse-grained representation, while capturing local and global
changes in apoB conformation at all-atom resolution. Taken together, these results
establish a computational framework for systematically investigating how lipid
composition, particle size, and disease-associated mutations alter LDL function and
pathology.
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