Gold-Induced Fibril Growth: The Mechanism of Surface-Facilitated Amyloid Aggregation

The question of how amyloid fibril formation is influenced by surfaces is crucial for a detailed understanding of the process in vivo. We applied a combination of kinetic experiments and molecular dynamics simulations to elucidate how (model) surfaces influence fibril formation of the amyloid-forming sequences of prion protein SUP35 and human islet amyloid polypeptide. The kinetic data suggest that structural reorganization of the initial peptide corona around colloidal gold nanoparticles is the rate-limiting step. The molecular dynamics simulations reveal that partial physisorption to the surface results in the formation of aligned monolayers, which stimulate the formation of parallel, critical oligomers. The general mechanism implies that the competition between the underlying peptide–peptide and peptide–surface interactions must strike a balance to accelerate fibril formation

Physics-based generative model of curvature sensing peptides; distinguishing sensors from binders

Proteins can specifically bind to curved membranes through curvature-induced hydrophobic lipid packing defects. The chemical diversity among such curvature “sensors” challenges our understanding of how they differ from general membrane “binders” that bind without curvature selectivity. Here, we combine an evolutionary algorithm with coarse-grained molecular dynamics simulations (Evo-MD) to resolve the peptide sequences that optimally recognize the curvature of lipid membranes. We subsequently demonstrate how a synergy between Evo-MD and a neural network (NN) can enhance the identification and discovery of curvature sensing peptides and proteins. To this aim, we benchmark a physics-trained NN model against experimental data and show that we can correctly identify known sensors and binders. We illustrate that sensing and binding are phenomena that lie on the same thermodynamic continuum, with only subtle but explainable differences in membrane binding free energy, consistent with the serendipitous discovery of sensors

Steric hindrance of SNARE transmembrane domain organization impairs the hemifusion‐to‐fusion transition

SNAREs fuse membranes in several steps. Trans-SNARE complexes juxtapose membranes, induce hemifused stalk structures, and open the fusion pore. A recent penetration model of fusion proposed that SNAREs force the hydrophilic C-termini of their transmembrane domains through the hydrophobic core of the membrane(s). In contrast, the indentation model suggests that the C-termini open the pore by locally compressing and deforming the stalk. Here we test these models in the context of yeast vacuole fusion. Addition of small hydrophilic tags renders bilayer penetration by the C-termini energetically unlikely. It preserves fusion activity, however, arguing against the penetration model. Addition of large protein tags to the C-termini permits SNARE activation, trans-SNARE pairing, and hemifusion but abolishes pore opening. Fusion proceeds if the tags are detached from the membrane by a hydrophilic spacer or if only one side of the trans-SNARE complex carries a protein tag. Thus, both sides of a trans-SNARE complex can drive pore opening. Our results are consistent with an indentation model in which multiple SNARE C-termini cooperate in opening the fusion pore by locally deforming the inner leaflets

Curvature model for nanoparticle size effects on peptide fibril stability and molecular dynamics simulation data

Nanostructured surfaces are widespread in nature and are being further developed in materials science. This makes them highly relevant for biomolecules, such as peptides. In this data article, we present a curvature model and molecular dynamics (MD) simulation data on the influence of nanoparticle size on the stability of amyloid peptide fibrils related to our research article entitled “Mechanistic insights into the size-dependent effects of nanoparticles on inhibiting and accelerating amyloid fibril formation” (John et al., 2022) [1]. We provide the code to perform MD simulations in GROMACS 4.5.7 software of arbitrarily chosen biomolecule oligomers adsorbed on a curved surface of chosen nanoparticle size. We also provide the simulation parameters and data for peptide oligomers of Aß40, NNFGAIL, GNNQQNY, and VQIYVK. The data provided allows researchers to further analyze our MD simulations and the curvature model allows for a better understanding of oligomeric structures on surfaces

A tethering complex drives the terminal stage of SNARE-dependent membrane fusion.

Membrane fusion in eukaryotic cells mediates the biogenesis of organelles, vesicular traffic between them, and exo- and endocytosis of important signalling molecules, such as hormones and neurotransmitters. Distinct tasks in intracellular membrane fusion have been assigned to conserved protein systems. Tethering proteins mediate the initial recognition and attachment of membranes, whereas SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptor) protein complexes are considered as the core fusion engine. SNARE complexes provide mechanical energy to distort membranes and drive them through a hemifusion intermediate towards the formation of a fusion pore. This last step is highly energy-demanding. Here we combine the in vivo and in vitro fusion of yeast vacuoles with molecular simulations to show that tethering proteins are critical for overcoming the final energy barrier to fusion pore formation. SNAREs alone drive vacuoles only into the hemifused state. Tethering proteins greatly increase the volume of SNARE complexes and deform the site of hemifusion, which lowers the energy barrier for pore opening and provides the driving force. Thereby, tethering proteins assume a crucial mechanical role in the terminal stage of membrane fusion that is likely to be conserved at multiple steps of vesicular traffic. We therefore propose that SNAREs and tethering proteins should be considered as a single, non-dissociable device that drives fusion. The core fusion machinery may then be larger and more complex than previously thought

Fascinating vesicles?

Lipids are small amphiphatic molecules that can adopt a wide variety of aggregation states including micelles, lamellae and vesicles. In the vesicular state the lipids form a closed spherically bilayer. Such vesicles, or liposomes, play an important biological role in processes such as endo- and exo-cytosis, intracellular transport as well as providing nanoscale reaction vessels. Lipid vesicles are also used in drug delivery applications, and serve as model systems for experimental studies of cell processes. The length scales of vesicular systems in vivo ranges from nanometers to micrometers (whole cells). In this thesis we have pioneered the possibilities of simulating vesicular bilayer systems using molecular dynamics simulation (MD) techniques. We especially focus on the effect of membrane curvature on phase transitions and phase separations. For the first time we have been have been able to simulate so called 'raft' formation in lipid membranes. Rafts are liquid-ordered membrane domains consisting of a mixture of cholesterol and phospholipids. At present it is believed that such rafts, in combination with specific proteins, play an important role in cell signaling. On overall, this thesis shows that small liposomes possess interesting specific properties and are more than just curved membranes.