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Massimiliano Paesani

Publications and source records attributed to Massimiliano Paesani.

3 recordsLinked to original sources

Modulators Selectively Reshape alpha-Synuclein Phase Transitions

Protein phase transitions govern numerous diseases, including neurodegenerative disorders such as Parkinson's and Alzheimer's. In Parkinson's disease, distinct species of the protein alpha-synuclein undergo phase transitions from highly disordered to ordered beta-rich states. The emerging species and transitions between them can be reshaped by chaperones, small molecules, peptides or antibodies. Here, we use coarse-grained simulations to understand the effect of modulators on the thermodynamics and kinetics of alpha-synuclein transformations and phase transitions. Each protein is represented as a single morphing particle that transforms from a soft sphere (disordered state) to a hard spherocylinder (beta-rich state), while modulators are modeled as soft isotropic particles mimicking small peptides. The results show that purely repulsive modulators do not alter the final outcome, i.e. fibrils form following the same mechanisms independently of the modulator concentration. Attractive interactions towards the disordered protein slow down fibril formation in a dose-dependent manner by stabilizing intermediate species, and strong attraction yields persistent disordered heteroclusters. In contrast, specific attraction to the beta-rich state results in shorter fibrils through direct modulator surface "capping" that introduce kinetic barriers to monomer templating at the fibril ends and inhibit lateral attachment. Together, these results link modulator properties and environmental conditions to the effects on nucleation, fibril elongation and off-pathway trapping, providing a quantitative roadmap for selecting modulator properties and strategies that redirect phase transitions toward desirable endpoints. Additionally, they provide guiding principles for the development of intervention strategies and the engineering of novel materials with tunable and responsive properties.

cond-mat.soft↗

Mimicking the Gas-Phase to Transport Odorants through the Nasal Mucus: Functional Insights into Odorant Binding Proteins

Mammalian odorant binding proteins (OBPs) have long been suggested to transport hydrophobic odorant molecules through the aqueous environment of the nasal mucus. While the function of OBPs as odorant transporters is supported by their hydrophobic beta-barrel structure, no rationale has been provided on why and how these proteins facilitate the uptake of odorants from the gas phase. Here, a multi-scale computational approach validated through available high-resolution spectroscopy experiments reveals that the conformational space explored by carvone inside the binding cavity of porcine OBP (pOBP) is much closer to the gas than the aqueous phase, and that pOBP effectively manages to transport odorants by lowering the free energy barrier of odorant uptake. Understanding such perireceptor events is crucial to fully unravel the molecular processes underlying the olfactory sense, and move towards the development of protein-based biomimetic sensor units that can serve as artificial noses.

q-bio.BM↗

MetaParticles: Computationally engineered nanomaterials with tunable and responsive properties

In simulations, particles are traditionally treated as rigid platforms with variable sizes, shapes and interaction parameters. While this representation is applicable for rigid core platforms, particles consisting of soft platforms (e.g. micelles, polymers, elastomers, lipids) inevitably deform upon application of external stress. We introduce a generic model for flexible particles which we call MetaParticles (MP). These particles have tunable properties, can respond to applied tension and can deform. A metaparticle is represented as a collection of Lennard-Jones beads interconnected by spring-like potentials. We model a series of metaparticles of variable sizes and symmetries, which we subject to external stress followed by relaxation upon stress release. The positions and the orientations of the individual beads are propagated by Brownian dynamics. The simulations show that the mechanical properties of the metaparticles vary with size, bead arrangement and area of applied stress, and share an elastomer-like response to applied stress. Furthermore, metaparticles deform following different mechanisms, i.e., small MPs change shape in one step, while larger ones follow a multi-step deformation pathway, with internal rearrangements of the beads. This model is the first step towards the development and understanding of particles with adaptable properties with biomedical applications and in the design of bioinspired metamaterials.

cond-mat.soft↗