Biology subjects

Carnevale, V.

Publications and source records attributed to Carnevale, V..

17 recordsLinked to original sources

bioRxiv2026

Tightly Knotted Enzymes Inhibit Protein-Protein Aggregation

Neurodegenerative diseases are closely linked to aberrant protein aggregation arising from failures in cellular proteostasis, yet the physical determinants governing transitions between soluble states, liquid-liquid phase separation (LLPS), and aggregation remain incompletely understood. Here, we investigate how protein backbone topology influences phase behavior using ubiquitin C-terminal hydrolase L1 (UCH-L1), a highly neuron-enriched deubiquitinase in the ubiquitin-proteasome system harboring a rare, evolutionarily conserved knotted backbone topology, and its Parkinsons disease-associated I93M mutant. Through multiscale molecular dynamics (MD) simulations of single-chain and multichain systems, we show that knot integrity acts as a conformational constraint that limits access to expanded states, and suppresses LLPS propensity. Destabilization of the native knotted ensemble in I93M reshapes the conformational ensemble, enhancing intermolecular contacts, strengthening hydrophobic interaction, and reducing solvation penalties, thereby stabilizing protein-rich phases. Within condensates, these changes lead to persistent interchain contacts, increased topological entanglement, and slower relaxation dynamics, indicative of a transition toward viscoelastic assemblies, whereas intact topology maintains dynamic, liquid-like behavior. Our results identify topological integrity as a key physical determinant of protein phase behavior and establish a mechanistic link between topological stability and condensate material properties, with implications for aggregation-associated neurodegeneration.

biophysics↗

bioRxiv2025

From Atoms to Neuronal Spikes: A Multi-Scale Simulation Framework

Understanding how molecular events in ion channels impact neuronal excitability, as derived from the calculation of the time course of the membrane potentials, can help elucidate the mechanisms of neurological disease-linked mutations and support neuroactive drug design. Here, we propose a multi-scale simulation approach which couples molecular simulations with neuronal simulations to predict the variations in membrane potential and neural spikes. We illustrate this through two examples. First, molecular dynamics simulations predict changes in current and conductance through the AMPAR neuroreceptor when transitioning from the wild-type protein to certain disease-associated variants. The results of these simulations inform morphologically detailed models of cortical pyramidal neurons, which are simulated using the Arbor framework to determine neural spike activity. Based on these multiscale simulations, we suggest that disease associated AMPAR variants may significantly impact neuronal excitability. In the second example, the Arbor model is coupled with coarse-grained Monte Carlo gating simulations of voltage-gated (K+ and Na+) channels. The pre-dicted current from these ion channels altered the membrane potential and, in turn, the excitation state of the neuron was updated in Arbor. The resulting membrane potential was then fed back into the Monte Carlo simulations of the voltage-gated ion channels, resulting in a bidirectional coupling of current and membrane potential. This allowed the transitions of the states of the ion channels to influence the membrane potentials and vice versa. Our simulations also included the crucial -- so far unexplored -- effects of the composition of the lipid membrane embedding the ion channels on the membrane potential and revealed a significant impact of temperature on the neuronal excitability. Our combined approaches predicted membrane potentials consistent with electrophysiological recordings and established a multi-scale framework linking the atomistic perturbations to neuronal excitability.

neuroscience↗

bioRxiv2025

Lipid Dynamics and Organization Around Voltage-Gated Sodium Channels: A Coarse-Grained Perspective

Lipid-ion channel interactions play a critical role in channel function and membrane structural organization. Despite this importance, the mechanisms behind the rearrangement of lipids around ion channels are still unclear. To investigate this, we conducted coarse grained (CG) molecular dynamics simulations of voltage gated sodium ion channels (NavAB) embedded in a ternary lipid bilayer composed of 1,2-dilinoleoyl-sn- glycero-3-phosphocholine (DIPC), 1,2-dipalmitoyl-sn-glycero- 3-phosphocholine (DPPC), and cholesterol (CHOL) at varying CHOL concentrations (6.62%, 17.62% and 30.00%). By analyzing lipid organization and membrane structure, we examined how membrane composition and channel state (activated and resting) influence lipid redistribution near the channel interface. Our key finding is a pronounced preference for DIPC for the channel vicinity, observed consistently for all CHOL concentrations and channel states. Our simulations reveal that hydrophobic mismatch dictates lipid sorting near NavABs. The hydrphobic thickness of the channel favors flexible DIPC lipids, which are packed efficiently around it, while excluding thicker DPPC lipids. This exclusion drives DPPC and cholesterol to form ordered domains farther from the channel interface. Mixing entropy analysis supports local lipid de-mixing near the channel, aligning with the emergence of phase-separated domains. Notably, the hydrophobic thickness of NavAB remained stable and in close agreement with the experimental values, indicating that lipid-specific properties drive reorganization near the channel. Overall, our findings demonstrate that hydrophobic mismatch is a key driver of lipid reorganization and domain formation around ion channels, regardless of CHOL concentration or channel conformational state.

biophysics↗

bioRxiv2025

TRUHiC: A TRansformer-embedded U-2 Net to enhance Hi-C data for 3D chromatin structure characterization

High-throughput chromosome conformation capture sequencing (Hi-C) is a key technology for studying the three-dimensional (3D) structure of genomes and chromatin folding. Hi-C data reveals underlying patterns of genome organization, such as topologically associating domains (TADs) and chromatin loops, with critical roles in transcriptional regulation and disease etiology and progression. However, the sparsity of existing Hi-C data often hinders robust and reliable inference of 3D structures. Hence, we propose TRUHiC, a new computational method that leverages recent state-of-the-art deep generative modeling to augment low-resolution Hi-C data for the characterization of 3D chromatin structures. By applying TRUHiC to real low-resolution Hi-C data from the GM12329 cell line and across other publicly available Hi-C data for human and mice, we demonstrate that the augmented data significantly improve the characterization of TADs and loops across diverse cell lines and species. We further present a pre-trained TRUHiC on human lymphoblastoid cell lines that can be adaptable and transferable to improve chromatin characterization of various cell lines, tissues, and species.

bioinformatics↗

bioRxiv2025

Entrenchment and contingency in neutral protein evolution with epistasis

Protein sequence evolution in the presence of epistasis makes many previously acceptable amino acid residues at a site unfavorable over time. This phenomenon of entrenchment has also been observed with neutral substitutions using Potts Hamiltonian models. Here, we show that simulations using these models often evolve non-neutral proteins. We introduce a Neutral-with-Epistasis (NxE) model that incorporates purifying selection to conserve fitness, a requirement of neutral evolution. NxE protein evolution revealed a surprising lack of entrenchment, with site-specific amino-acid preferences remaining remarkably conserved, in biologically realistic time frames despite extensive residue coupling. Moreover, we found that the overdispersion of the molecular clock is caused by rate variation across sites introduced by epistasis in individual lineages, rather than by historical contingency. Therefore, substitutional entrenchment and rate contingency may indicate that adaptive and other non-neutral evolutionary processes were at play during protein evolution.

evolutionary biology↗

bioRxiv2022

Computational and functional characterization of the PI(4,5)P2 binding site of the TRPM3 ion channel

Transient Receptor Potential Melastatin 3 (TRPM3) is a heat-activated ion channel expressed in peripheral sensory neurons and the central nervous system. TRPM3 activity depends on the membrane phospholipid phosphatidylinositol 4,5-bisphosphate [PI(4,5)P2], but the molecular mechanism of activation by PI(4,5)P2 is not known. As no experimental structure of TRPM3 is available, we built a homology model of the channel in complex with PI(4,5)P2 via molecular modeling. We identified putative contact residues for PI(4,5)P2 in the pre-S1 segment, the S4-S5 linker, and the proximal C-terminal TRP-domain. Mutating these residues increased sensitivity to inhibition of TRPM3 by decreasing PI(4,5)P2 levels by phosphatidylinositol 4-kinase inhibition. Changes in ligand-binding affinities via MM/GBSA showed reduced PI(4,5)P2 affinity for the mutants. Mutating PI(4,5)P2 interacting residues also reduced sensitivity for activation by the endogenous ligand pregnenolone sulfate (PregS), pointing to an allosteric interaction between PI(4,5)P2 and PregS. Mutating residues in the PI(4,5)P2 binding site in TRPM8 had similar effects, increased sensitivity to PI(4,5)P2 depletion, and reduced sensitivity to menthol. Mutation of most PI(4,5)P2 interacting residues in TRPM3 also increased sensitivity to inhibition by G{beta}{gamma}, indicating allosteric interaction between G{beta}{gamma} and PI(4,5)P2. Disease-associated gain of function TRPM3 mutations on the other hand, resulted in no change of PI(4,5)P2 sensitivity, indicating that mutations did not increase channel activity via increasing PI(4,5)P2 interactions. Our data provide insight into the mechanism of regulation of TRPM3 by PI(4,5)P2, its relationship to endogenous activators and inhibitors of TRPM3, as well as identify similarities and differences between PI(4,5)P2 regulation of TRPM3 and TRPM8.

biophysics↗

bioRxiv2021

Sequence conservation and structural features that are common within TRP channels

TRP proteins are a large family of cation selective channels, surpassed in variety only by voltage-gated potassium channels. Detailed molecular mechanisms governing how membrane voltage, ligand binding, or temperature can induce conformational changes promoting the open state of the channel are still missing for TRP channels. Aiming to unveil distinctive structural features common to the transmembrane domains within the TRP family, we performed bioinformatic analyses over a large set of TRP channel genes. Here we report a discrete and exceptionally conserved set of residues. This fingerprint is composed of eleven residues localized at equivalent three-dimensional positions in TRP channels from the different subtypes. Moreover, these amino acids are arranged in three groups, connected by a set of aromatics located at the core of the transmembrane structure. We hypothesize that differences in the connectivity between these different groups of residues harbors the apparent differences in coupling strategies used by TRP subgroups.

evolutionary biology↗

bioRxiv2020

The biophysical basis of protein domain compatibility in ion channels

Understanding the biophysical mechanisms that govern the combination of protein domains into viable proteins is essential for advancing synthetic biology and biomedical engineering. Here, we use massively parallel genotype/phenotype assays to determine cell surface expression of over 300,000 variants of the inward rectifier K+ channel Kir2.1 recombined with hundreds of protein motifs. We use machine learning to derive a quantitative biophysical model and practical rules for domain recombination. Insertional fitness depends on nonlinear interactions between the biophysical properties of inserted motifs and the recipient protein, which adds a new dimension to the rational design of fusion proteins. Insertion maps reveal a generalizable hierarchical organization of Kir2.1 and several other ion channels that balances stability needed for folding and dynamics required for function. SummaryMassively parallel assays reveal interactions between donor domains and recipient proteins govern domain compatibility

biophysics↗

bioRxiv2020

The propofol binding sites of prokaryotic voltage-gated sodium channels

Propofol, one of the most commonly used intravenous general anesthetics, modulates neuronal function by interacting with ion channels. The mechanisms that link propofol binding to the modulation of distinct ion channel states, however, are not understood. To tackle this problem, we investigated prokaryotic ancestors of eukaryotic voltage-gated Na+ channels (Navs) using unbiased photoaffinity labeling with a photoacitivatable propofol analog (AziPm), electrophysiological methods and mutagenesis. The results directly demonstrate conserved propofol binding sites involving the S4 voltage sensors and the S4-S5 linkers in NaChBac and NavMs, and also suggest state-dependent changes at these sites. Then, using molecular dynamics simulations to elucidate the structural basis of propofol modulation, we show that the S4 voltage sensors and the S4-S5 linkers shape two distinct propofol binding sites in a conformation-dependent manner. These interactions help explain how propofol binding promotes activation-coupled inactivation to inhibit Nav channel function.

biophysics↗

bioRxiv2019

Allosteric modulation of local reactivity in DNA origami

We used coarse-grained molecular dynamics simulations to characterize the global and local mechanical properties of a DNA origami triangle nanostructure. The structure presents two metastable conformations separated by a free energy barrier that is lowered upon omission of four specific DNA staples (defect). In contrast, only one stable conformation is present upon removing eight staples. The metastability is explained in terms of the intrinsic conformations of the three trapezoidal substructures. We computationally modeled the local accessibility to endonucleases, to predict the reactivity of twenty sites, and found good agreement with the experimental data. We showed that global fluctuations affect local reactivity: the removal of the DNA staples increased the computed accessibility to a restriction enzyme, at sites as distant as 40nm, due to an increase in global fluctuation. These results raise the intriguing possibility of the rational engineering of allosterically modulated DNA origami.

biophysics↗

bioRxiv2019

Phosphoinositides regulate the TRPV1 channel via two functionally distinct binding sites

Regulation of the heat- and capsaicin-activated Transient Receptor Potential Vanilloid 1 (TRPV1) channel by phosphoinositides is controversial. In a recent cryoEM structure, an endogenous phosphoinositide was detected in the vanilloid binding site, and phosphoinositides were proposed to act as competitive vanilloid antagonists. This model is difficult to reconcile with phosphatidylinositol 4,5- bisphosphate [PtdIns(4,5)P2] being a well established positive regulator of TRPV1. To resolve this controversy, we propose that phosphoinositides regulate TRPV1 via two functionally distinct binding sites. Our molecular dynamics simulations show that phosphatidylinositol (PtdIns) is more stable in the vanilloid binding site, whereas a distinct site responsible for activation is preferentially occupied by PtdIns(4,5)P2. Consistently, we show that in the presence of PtdIns(4,5)P2 in excised patches PtdIns partially inhibited TRPV1 activity induced by low, but not high capsaicin concentrations. In the absence of PtdIns(4,5)P2 on the other hand, PtdIns partially stimulated TRPV1 activity presumably by binding to the activating site. Overall, our data resolve a major controversy in the regulation of TRPV1.

biophysics↗

bioRxiv2018

A consistent picture of TRPV1 activation emerges from molecular simulations and experiments

Although the structure of TRPV1 has been experimentally determined in both the closed and open states, very little is known about its activation mechanism. In particular, the conformational changes occurring in the pore domain and resulting in ionic conduction have not been identified yet. Here, we suggest a hypothetical molecular mechanism for TRPV1 activation, which involves the rotation of a conserved asparagine in S6 from the S4-S5 linker toward the pore. This rotation is correlated with the dehydration of four peripheral cavities located between S6 and the S4-S5 linker and the hydration of the pore. In light of our hypothesis, we perform bioinformatics analyses of TRP and other evolutionary related ion channels, analyze newly available structures and re-examine previously reported water accessibility and mutagenesis experiments. Overall, we provide several independent lines of evidence that corroborate our hypothesis. Finally, we show that the proposed molecular mechanism is compatible with the currently existing idea that in TRPV1 the selectivity filter acts as a secondary gate.

biophysics↗

bioRxiv2017

Conformational Dynamics In TRPV1 Channels Reported By An Encoded Coumarin Amino Acid

Transient Receptor Potential Vanilloid (TRPV1) channels support the detection and integration of nociceptive input. Currently available functional and structural data suggest that that TRPV1 channels have two potential gates within their cation selective permeation pathway: a barrier formed by a bundle crossing at the intracellular entrance and a second constriction created by the ion selectivity filter. To describe conformational changes associated with channel gating within the pore, the fluorescent non-canonical amino acid (f- ncAA) coumarin-tyrosine was genetically encoded at Y671, a residue proximal to the selectivity filter. TRPV1 channels expressing coumarin at either site displayed normal voltage- and agonist-dependent gating. Next, total internal reflection microscopy (TIRF) was performed to enable ultra-rapid, millisecond imaging of the conformational dynamics in single TRPV1 channels in live cells. Here, the data obtained from channels expressed in human derived cells show that optical fluctuations, photon counts, and variance of noise analysis from Y671 coumarin encoded in TRPV1 tetramers correlates closely with channel activation by capsaicin, thus providing an direct optical marker of channel activation at the selectivity filter. In companion molecular dynamics simulations, Y671 displays alternating solvent exposure between the closed and open states, giving support to the optical data. These calculations further suggest a direct involvement of Y671 in controlling the relative position of the pore helix and its role in supporting ionic conductance at the TRPV1 selectivity filter.

biophysics↗

bioRxiv2017

TRPV1 activation relies on hydration/dehydration of nonpolar cavities

TRPV1 promotes cationic currents across cellular membranes in response to multiple stimuli such as increased temperature, binding of chemicals, low pH and voltage. The molecular underpinnings of TRPV1 gating, in particular the mechanism of temperature sensitivity, are still largely unknown. Here, we used molecular simulations and electrophysiology to shed light on the closed to open transition. Specifically, we found that gating of TRPV1 relies on the motion of an evolutionarily conserved amino acid (N676) in the middle of the S6 helix. On rotation, the side chain of this asparagine faces either the central pore or the S4-S5 linker. Only in the former case is the central pore hydrated and thus conductive. Interestingly, when N676 rotates toward the linker, we observe hydration of four so far unreported small nonpolar cavities. Based on these findings, we propose a model for TRPV1 gating involving the dynamic hydration of these four cavities. Free energy calculations indicate that this gating mechanisms is markedly temperature dependent favoring the open state at high temperature. On the basis of this model, which is able to rationalize a wealth of seemingly conflicting and/or unrelated experimental observations, we predicted the behavior of two single residue mutants, M572A and F580Y, the consequences of which we confirmed experimentally.

biophysics↗

bioRxiv2017

From Sequence to Function: Coevolving Amino Acids Encode Structural and Functional Domains

Amino acids interactions within protein families are so optimized that the sole analysis of evolutionary co-mutations can identify pairs of contacting residues. It is also known that evolution conserves functional dynamics, i.e., the concerted motion or displacement of large protein regions or domains. Is it, therefore, possible to use a pure sequence-based analysis to identify these dynamical domains? To address this question, we introduce here a general co-evolutionary coupling analysis strategy and apply it to a curated sequence database of hundreds of protein families. For most families, the sequence-based method partitions amino acids into few clusters. When viewed in the context of the native structure, these clusters have the signature characteristics of viable protein domains: they are spatially separated but individually compact. They have a direct functional bearings too, as shown for various reference cases. We conclude that even large-scale structural and functionally-related properties can be recovered from inference methods applied to evolutionary-related sequences. The method introduced here is available as a software package and web server (http://spectrus.sissa.it/spectrus-evo_webserver).

bioinformatics↗

bioRxiv2017

Exploring the Complex Dynamics of an Ion Channel Voltage Sensor Domain via Computation

Voltage-gated ion channels are ubiquitous proteins that orchestrate electrical signaling across excitable membranes. Key to their function is activation of the voltage sensor domain (VSD), a transmembrane four alpha-helix bundle that triggers channel opening. Modeling of currents from electrophysiology experiments yields a set of kinetic parameters for a given channel, but no direct molecular insight. Here we use molecular dynamics (MD) simulations to determine the free energy landscape of VSD activation and to, ultimately, predict the time evolution of the resulting gating currents. Our study provides the long-sought-for bridge between electrophysiology and microscopic molecular dynamics and confirms, as already suggested on the basis of experiments, that rate-limiting barriers play a critical role in activation kinetics.

biophysics↗

bioRxiv2017

Free energy calculations suggest a mechanism for Na+/K+-ATPase ion selectivity

Na+/K+-ATPase transports Na+ and K+ ions across the cell membrane via an ion binding site made alternatively accessible to the intra- and extracellular milieu by conformational transitions that confer marked changes in ion binding stoichiometry and selectivity. To probe the mechanism of these changes, we used molecular simulation approaches to identify the protonation state of Na+ and K+ coordinating residues in E1P and E2P conformations. Further analysis of these simulations revealed a novel molecular mechanism responsible for the change in protonation state: the conformation-dependent binding of an anion (a chloride ion in our simulations) to a previously unrecognized cytoplasmic site in the loop between transmembrane helices 8 and 9, which influences the electrostatic potential of the crucial Na+-coordinating residue D926. This mechanistic model is consistent with experimental observations and provides a molecular-level picture of how E1P to E2P enzyme conformational transitions are coupled to changes in ion binding stoichiometry and selectivity.

biophysics↗