Abstract
We study the structure and dynamics of spherical high density
lipoprotein (HDL) particles through coarse-grained multi-microsecond
molecular dynamics simulations. We simulate both a lipid droplet without
the apolipoprotein A-I (apoA-I) and the full HDL particle including two
apoA-I molecules surrounding the lipid compartment. The present models
are the first ones among computational studies where the size and lipid
composition of HDL are realistic, corresponding to human serum HDL. We
focus on the role of lipids in HDL structure and dynamics. Particular
attention is paid to the assembly of lipids and the influence of
lipid-protein interactions on HDL properties. We find that the
properties of lipids depend significantly on their location in the
particle (core, intermediate region, surface). Unlike the hydrophobic
core, the intermediate and surface regions are characterized by
prominent conformational lipid order. Yet, not only the conformations
but also the dynamics of lipids are found to be distinctly different in
the different regions of HDL, highlighting the importance of dynamics in
considering the functionalization of HDL. The structure of the lipid
droplet close to the HDL-water interface is altered by the presence of
apoA-Is, with most prominent changes being observed for cholesterol and
polar lipids. For cholesterol, slow trafficking between the surface
layer and the regimes underneath is observed. The lipid-protein
interactions are strongest for cholesterol, in particular its
interaction with hydrophobic residues of apoA-I. Our results reveal that
not only hydrophobicity but also conformational entropy of the
molecules are the driving forces in the formation of HDL structure. The
results provide the first detailed structural model for HDL and its
dynamics with and without apoA-I, and indicate how the interplay and
competition between entropy and detailed interactions may be used in
nanoparticle and drug design through self-assembly.
Original language | English |
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Article number | 1000964 |
Number of pages | 14 |
Journal | PLoS Computational Biology |
Volume | 6 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2010 |
MoE publication type | A1 Journal article-refereed |