Membrane bending energy selects for compact growth of protein assemblies
Ying, Y.; Johnson, M. E.
Show abstract
Remodeling of cell membranes into vesicles is essential for receptor transport into cells and viral escape from infected cells. Membranes must be forced into these highly curved vesicles, and this is primarily driven through a structured assembly of multiple, multivalent interacting protein subunits forming a lattice. Lattice assembly from these subunits is a stochastic process, and intermediate structures formed during growth can vary in both structure and stability. Here we show that the membrane bending energy cost per protein rises significantly when remodeling is driven by lattice intermediates that deviate from compact, ideal spherical structures. We use a continuum membrane mechanics model coupled to lattice intermediates assembled from stochastic rigid-body simulations of HIV-1 Gag lattice assembly to quantify the bending energy as it systematically varies with lattice eccentricity. Our results show that highly eccentric lattices induce a higher bending energy cost because the lattices still deform the membrane into an approximate spherical cap, but the radius of the cap is larger due to the imperfect lattice geometry. These quantitative trends are also nearly independent of the density of links to the membrane, emphasizing the importance of the lattice perimeter shape instead. Rescaling thus recovers an approximately universal bending energy cost when evaluated relative to the circumscribing sphere of the lattice intermediates. These results show that assembly pathways coupled to membrane remodeling face much stronger selection pressure for highly compact growth compared to solution assembly pathways due to bending energy costs and provide a tool to characterize these pathways during processes like viral budding and endocytosis.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Particle deformability enables control of interactions between membrane-anchored nanoparticles 96%
- Simulation of FUS protein condensates with an adapted coarse-grained model 96%
- Efficient quantification of lipid packing defect sensing by amphipathic peptides; comparing Martini 2 & 3 with CHARMM36 96%
Similar papers in this journal
- Investigating the entropic nature of membrane-mediated interactions driving the aggregation of peripheral proteins 96%
- Membrane curvature sensing by model biomolecular condensates 96%
- A mechanical model reveals that non-axisymmetric buckling lowers the energy barrier associated with membrane neck constriction 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.