Biology subjects

Piazza, F.

Publications and source records attributed to Piazza, F..

5 recordsLinked to original sources

bioRxiv2026

Interaction-Range Control of Synapsin Aggregation in a Coarse-Grained Model

Synapsin-1 is a multidomain neuronal protein containing extensive intrinsically disordered regions and is a key component of synaptic-vesicle condensates. Direct residue-level simulation of the collective organization of thousands of synapsin molecules remains computationally demanding. Here, we develop a coarse-grained description that connects residue-level CALVADOS 3 simulations to a one-particle-per-protein model. A potential of mean force between two synapsin molecules is obtained by umbrella sampling and represented by an isotropic effective interaction containing a short-range attractive region and a weak outer repulsive contribution. We compare two treatments of this interaction that differ only in the retention of the outer tail. Langevin dynamics simulations of effective proteins show aggregation upon cooling and compression in both models, but with markedly different collective organization. The shorter-ranged model progressively coarsens toward a single dense domain, whereas retaining the outer repulsive contribution favors the persistence of multiple mesoscale aggregates. The two models also display distinct relationships between aggregate size and particle mobility at low temperature. These results show that weak features of an effective protein-protein interaction can have pronounced consequences for collective synapsin organization at mesoscopic scales. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=95 SRC="FIGDIR/small/745062v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@854288org.highwire.dtl.DTLVardef@d2fc52org.highwire.dtl.DTLVardef@1b37d5aorg.highwire.dtl.DTLVardef@eac583_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

A Thermodynamically Consistent Reaction--Diffusion Model of Spatial Proofreading in One and Two Dimensions

Spatial proofreading is a mechanism that can enhance molecular discrimination by exploiting nonequilibrium diffusive transport between spatially separated source and readout regions. Here, we introduce a thermodynamically consistent reaction--diffusion model in which a gradient of active substrates is generated self-consistently by a reversible kinase--phosphatase switch coupled to nucleotide chemostats. The resulting chemical-potential gradient explicitly controls the nonequilibrium driving and allows the discrimination potential to be related to microscopic chemical rates and diffusive transport. A simple one-dimensional analysis shows that the ability of an enzyme to discriminate between wrong and right substrates is governed by a subtle balance between substrate-gradient confinement, controlled by phosphatase activity, the diffusive crossing time across the source--readout domain, and selective complex dissociation. We then extend the model to two-dimensional domains, showing that source, i.e. kinase, localization modulates spatial specificity by shaping the effective diffusive paths to the readout boundary. Finally, stochastic simulations reveal that molecular fluctuations generate intermittent wrong-readout events, which can be characterized through an event-weighted measure of specificity. Interestingly, we find that fluctuations promote frequent transitions to long-residence states in which discrimination is better than predicted by the deterministic estimate. Overall, our work highlights the importance of thermodynamically consistent descriptions of spatial proofreading and clarifies how energy input, transport, and spatial organization jointly shape biochemical discrimination.

biophysics↗

bioRxiv2024

Corylus avellana non-specific lipid-transfer protein Cor a 8 is a moonlighting enzyme with a new lipase activity

The high-fat content of hazelnuts, mainly triglycerides, makes them prone to lipid oxidation during storage, which has a big impact on their sensory and nutritional quality. The chemical pathways leading to hazelnut oxidative rancidity have been well characterized and it are faster on free fatty acids. Lipase(s) enzymes are required, in oilseed, to hydrolyze the ester bond to free the single molecule of fatty acids. This step, necessary for germination, is the first event to trigger rancidity. Identifying the lipase(s) enzyme and the biochemical pathways involved in rancidity would lead to an effective strategy to prevent fat deterioration. Different proteins have been characterized in hazelnut seed and great interest has been risen towards the non-specific lipid transfer protein family because they were identified as human allergens. Here we show that Cor a 8 - a member of nsLTP - is a novel non-regiospecific lipase that is able to bind to oil-water interfaces and hydrolyze the triacylglycerol (TAGs) ester bonds by a non-canonical active site (non-serine dependent). Molecular modelling and molecular dynamics suggest that Cor a 8 is a moonlighting enzyme not only able to catalyze the hydrolysis of TAGs but also to stabilize the resulting free fatty acids and transport it. Cor a 8 homologues are present in all land plants, but the specific catalytic amino acids are found only in angiosperms, suggesting an evolutionary adaptation for lipid metabolism unique to flowering plants. This study sets the foundation for understanding this new lipid metabolism in plants and its role in rancidity development.

biochemistry↗

bioRxiv2024

Decoupling individual host response and immune cell engager cytotoxic potency

Immune cell engagers are molecular agents, usually antibody-based constructs, engineered to recruit immune cells against cancer cells and kill them. They represent a versatile and powerful tool for cancer immunotherapy. Despite the multiplication of new engagers tested and accepted in the clinics, how molecular and cellular parameters influence their action is poorly understood. In particular, disentangling the respective role of host immune cells and engager biophysical characteristics is needed to improve their design and efficiency. Focusing here on harnessing antibody dependent Natural Killer cell cytotoxicity, we measure the efficiency of 6 original bispecific antibodies (bsAb), associating an anti-HER2 nanobody and an anti-CD16 nanobody. In vitro cytotoxicity data using primary human NK cells on different target cell lines exposing different antigen densities were collected, exhibiting a wide range of bsAb dose response. In order to rationalize our observations, we introduce a simple multiscale model, postulating that the density of bsAb bridging the two cells is the main parameter triggering the cytotoxic response. We introduce two new microscopic parameters: the surface cooperativity describing bsAb affinity at the bridging step and the threshold of bridge density determining the donor-dependent response. Both parameters permit to rank Abs and donors and to predict bsAb potency as a function of antibodies bulk affinities and receptor surface densities on cells. Our approach thus provides a general way to decouple donor response from immune engagers characteristics, rationalizing the landscape of molecule design.

biophysics↗

bioRxiv2019

Mesoscale computational protocols for the design of highly cooperative bivalent macromolecules

The last decade has witnessed a swiftly increasing interest in the design and production of novel multivalent molecules as powerful alternatives for conventional antibodies in the fight against cancer and infectious diseases. However, while it is widely accepted that large-scale flexibility (10 - 100 nm) and free/constrained dynamics (100 ns - {micro}s) control the activity of such novel molecules, computational strategies at the mesoscale still lag behind experiments in optimizing the design of crucial features, such as the binding cooperativity (a.k.a. avidity).\n\nIn this study, we introduced different coarse-grained models of a polymer-linked, two-nanobody composite molecule, with the aim of laying down the physical bases of a thorough computational drug design protocol at the mesoscale. We show that the calculation of suitable potentials of mean force allows one to apprehend the nature, range and strength of the thermodynamic forces that govern the motion of free and wall-tethered molecules. Furthermore, we develop a simple computational strategy to quantify the encounter/dissociation dynamics between the free end of a wall-tethered molecule and the surface, at the roots of binding cooperativity. This procedure allows one to pinpoint the role of internal flexibility and weak non-specific interactions on the kinetic constants of the NB-wall encounter and dissociation. Finally, we quantify the role and weight of rare events, which are expected to play a major role in real-life situations, such as in the immune synapse, where the binding kinetics is likely dominated by fluctuations.\n\nSIGNIFICANCEMultivalent and multispecific molecules composed of polymer-linked nanobodies have gained interest as engineered alternatives to conventional antibodies. These therapeutic molecules have a larger reach due to their smaller size and promise substantial and tunable gains in avidity. This paper studies a model diabody to lay the bases of a multi-scale computational design of the structural and dynamical determinants of binding cooperativity, rooted in a blend of atomistic and coarse-grained MD simulations and concepts from statistical mechanics.

biophysics↗