Biology subjects

Kasson, P.

Publications and source records attributed to Kasson, P..

10 recordsLinked to original sources

bioRxiv2025

ProGuide: a flexible framework for modeling global conformational rearrangements in proteins using DEER-derived distance restraints

Conformational heterogeneity is integral to protein function - ranging from enzyme catalysis to signal transduction - and visualizing distinct conformational states requires experimental techniques capable of providing such structural information. One particularly powerful method, double electron-electron resonance (DEER) spectroscopy, can provide a high-resolution, long-range ([~]15-80 [A]) probability distributions of distances between site-selected pairs of spin labels to resolve intra-protein distance parameters of unique protein conformations, as well as their respective likelihoods within a conformational ensemble. A current frontier in the field of DEER spectroscopy is utilizing this distance information in computational modeling to generate complete structural models of these multiple conformations. Although several methods have been developed for this purpose, modeling protein backbone structural rearrangements using multiple distance restraints remains challenging, due in part to the complexity provided by rotameric flexibility of the spin label side chain. Here, we overcome these challenges with ProGuide, a new framework for generating accurate structural models guided by DEER distance distribution information. Large conformational rearrangements are captured by performing iterative experimentally biased molecular dynamics simulations. In each iteration, spin-label rotameric heterogeneity is modeled using chiLife, and then C changes are calculated to capture distance-probability density present in the experimental DEER distributions and lacking from the modeled one. The resulting models of this process then go through a selection to generate the ensemble that best recapitulates the DEER data. We illustrate the power of this method using published DEER data from a study of biased agonism in the angiotensin II type 1 receptor (AT1R), a prototypical G protein coupled receptor (GPCR). The resulting AT1R models consist of both Gq- and {beta}-arrestin-biased conformations, including a completely novel {beta}-arrestin-biased conformation. These models reveal structural insights involving tertiary structural rearrangements as well as residue-level changes in crucial microswitch motifs. Taken together, the results demonstrate the power and flexibility of ProGuide to investigate conformational rearrangements of large, complex proteins using DEER-derived distance restraints.

biophysics↗

bioRxiv2025

Unmasking complex kinetics in viral entry by inferring hypoexponential models

Single-event completion times, such as are estimated in viral entry, offer both promise and challenge to kinetic interpretation. The promise is that they are able to constrain underlying kinetic models much more efficiently than bulk kinetics, but the challenge is that completion times alone can incompletely determine complex reaction topologies. Gamma distributions or mechanistic models have often been used to estimate kinetic parameters for such data, but the gamma distribution relies on homogenous processes contributing to the rate-limiting behavior of the system. Here, we introduce hypoexponential analysis to estimate heterogeneous kinetic processes. We demonstrate that hypoexponential fitting can indeed estimate rate constants separated by 2-3 orders of magnitude. We then apply this approach to measurements of SARS-CoV-2 entry, showing that ACE2 reduces the number of rate-limiting steps but does not change the rates of these kinetic processes. We propose a kinetic model whereby SARS-CoV-2 entry is driven by a mixture of ACE2-accelerated and ACE2-independent spike protein activation events. Inferring such models requires the capability to detect heterogeneous kinetic processes, provided by robust estimation of hypoexponential distributions.

biophysics↗

bioRxiv2024

A Collagen Triple Helix without the Super Helical Twist

Collagens are ubiquitous in biology functioning as the backbone of the extracellular matrix, forming the primary structural components of key immune system complexes, and fulfilling numerous other structural roles in a variety of systems. Despite this, there is limited understanding of how triple helices, the basic collagen structural units, pack into collagenous assemblies. Here we use a peptide self-assembly system to design collagenous assemblies based on the C1q collagen-like region. Using cryo-EM we solve a structure of one assembly to 3.5 [A] resolution and build an atomic model. From this, we identify a triple helix conformation with no superhelical twist, starkly in contrast to the canonical right-handed triple helix. This non-twisting region allows for unique hydroxyproline stacking between adjacent triple helices and also results in the formation of an exposed cavity with rings of hydrophobic amino acids packed symmetrically. We find no precedent for such an arrangement of collagen triple helices and have designed mutant assemblies to probe key stabilizing amino acid interactions in the complex. The mutations behave as predicted by our atomic model. Our findings, combined with the extremely limited experimental structural data on triple helix packing in the literature, suggest that collagen and collagen-like assemblies may adopt a far more varied conformational landscape than previously appreciated. We hypothesize that this is particularly likely adjacent to the termini of these helices and at discontinuities to the required Xaa-Yaa-Gly repeating primary sequence; a discontinuity found in the majority of this class of proteins and in many collagen-associated diseases.

biophysics↗

bioRxiv2024

Caveolin assemblies displace one bilayer leaflet to organize and bend membranes

Caveolin is a monotopic integral membrane protein, widely expressed in metazoa and responsible for constructing enigmatic membrane invaginations known as caveolae. Recently, the high-resolution structure of a purified human caveolin assembly, the CAV1-8S complex, revealed a unique organization of 11 protomers arranged in a tightly packed, radially symmetric spiral disc. One face and the outer rim of this disc are hydrophobic, suggesting that the complex incorporates into membranes by displacing hundreds of lipids from one leaflet. The feasibility of this unique molecular architecture and its biophysical and functional consequences are currently unknown. Using Langmuir film balance measurements, we find that CAV1-8S is highly surface active, intercalating into lipid monolayers of various compositions. CAV1-8S can also incorporate into preformed bilayers, but only upon removal of phospholipids from the outer-facing leaflet. Atomistic and coarse-grained simulations of biomimetic bilayers support this leaflet replacement model and also reveal that CAV1-8S accumulates 40-70 cholesterol molecules into a disordered monolayer between the complex and its distal lipid leaflet. We find that CAV1-8S preferentially associates with positively curved membrane surfaces due to its influence on the conformations of distal leaflet lipids, and that these effects laterally sort lipids. Large-scale simulations of multiple caveolin assemblies confirmed their association with large, positively curved membrane morphologies consistent with the shape of caveolae. Further, association with curved membranes regulates the exposure of caveolin residues implicated in protein-protein interactions. Altogether, the unique structure of CAV1-8S imparts unusual modes of membrane interaction with implications for membrane organization, morphology, and physiology. STATEMENT OF SIGNIFICANCECaveolae are membrane invaginations heavily implicated in cellular physiology and disease; however, how their unique shape and function are produced remains enigmatic. Here, following on recent characterization of the unusual structure of the CAV1-8S oligomer, we examine the molecular details of its interactions with its surrounding lipid membrane using simulations and reconstitution experiments. We describe a novel mode of membrane interaction-which we term leaflet replacement-for the CAV1-8S complex that has not previously been observed for any other protein. The biophysical consequences of this unique molecular organization provide mechanistic insights into the functions and organization of caveolae in cells.

biophysics↗

bioRxiv2022

Mechanistic dissection of antibody inhibition of influenza entry yields unexpected heterogeneity

Neutralizing antibodies against influenza have generally been classified according to their recognition sites, with antibodies against the head domain of hemagglutinin thought to inhibit attachment and antibodies against the stalk region thought to inhibit fusion. Here, we report the development of a microfluidic assay to measure neutralization of viral entry that can clearly differentiate between effects on attachment and fusion. Testing multiple broadly-neutralizing antibodies against the hemagglutinin stalk domain, we obtain a surprising result: some broadly-neutralizing antibodies inhibit fusion only, while others inhibit both fusion and viral attachment. Antibodies binding the globular head domain primarily inhibit attachment but can also reduce the fusogenic capability of viral particles that nonetheless bind receptor. These findings shed light on the unexpectedly heterogeneous mechanisms of antibody neutralization even within similar recognition sites. The assay we have developed also provides a tool to optimize vaccine design by permitting assessment of the elicited antibody response with greater mechanistic resolution.

biophysics↗

bioRxiv2022

Measuring single-virus fusion kinetics using an assay for nucleic acid exposure

The kinetics by which individual enveloped viruses fuse with membranes provide an important window into viral entry mechanisms. We have developed a real-time assay using fluorescent probes for single-virus genome exposure than can report on stages of viral entry including or subsequent to fusion pore formation and prior to viral genome trafficking. Encapsulating such fluorescence probes in the lumen of target membranes permits specific detection of fusion events and exclusion of leakage without fusion. Using this assay, we show that influenza virus fuses with liposomes of different sizes with indistinguishable kinetics, suggesting that the starting curvature of such liposomes does not control the rate-limiting steps in influenza entry.

biophysics↗

bioRxiv2021

gmxapi: a Gromacs-native Python interface for molecular dynamics with ensemble and plugin support

Gmxapi provides an integrated, native Python API for both standard and advanced molecular dynamics simulations in GROMACS. The Python interface permits multiple levels of integration with the core GROMACS libraries, and legacy support is provided via an interface that mimics the command-line syntax, so that all GROMACS commands are fully available. Gmxapi has been officially supported since the GROMACS 2019 release and is enabled by default in current versions of the software. Here we describe gmxapi 0.3 and later. Beyond simply wrapping GROMACS library operations, the API permits several advanced operations that are not feasible using the prior command-line interface. First, the API allows custom user plugin code within the molecular dynamics force calculations, so users can execute custom algorithms without modifying the GROMACS source. Second, the Python interface allows tasks to be dynamically defined, so high-level algorithms for molecular dynamics simulation and analysis can be coordinated with loop and conditional operations. Gmxapi makes GROMACS more accessible to custom Python scripting while also providing support for high-level data-flow simulation algorithms that were previously feasible only in external packages. Author SummaryThe gmxapi software provides a Python interface for molecular dynamics simulations in GROMACS. In addition to simply wrapping GROMACS commands, it supports custom user plugin code, ensemble simulation, and data-flow chaining of commands. As such, gmxapi enables the writing and execution of high-level simulation algorithms. The software ships with GROMACS and is freely available under an LGPL2 license.

bioinformatics↗

bioRxiv2021

Single-virus fusion measurements yield an opportunistic model for SARS-CoV-2 fusion

SARS-CoV-2 binds to cell-surface receptors and is activated for membrane fusion and cell entry via proteolytic cleavage. Phenomenological data have shown that SARS-CoV-2 can be activated for entry at either the cell surface or in endosomes, but the relative roles in different cell types and mechanisms of entry have been debated. Here we use single-virus fusion experiments and exogenously controlled proteases to probe activation directly. We find that plasma membrane and an appropriate protease are sufficient to support SARS-CoV-2 pseudovirus fusion. Furthermore, fusion kinetics of SARS-CoV-2 pseudoviruses are indistinguishable no matter which of a broad range of proteases was used to activate the virus. This suggests that fusion mechanism is insensitive to protease identity or even whether activation occurs before or after receptor binding. These data support a model for opportunistic fusion by SARS-CoV-2, where subcellular location of entry likely depends on the differential activity of airway, cell-surface, and endosomal proteases, but all support infection. Inhibiting any single host protease may thus reduce infection in some cells but may be less clinically robust. ImportanceSARS-CoV-2 can use multiple pathways to infect cells, as demonstrated recently when new viral variants switched dominant infection pathways. Here, we use single-virus fusion experiments together with biochemical reconstitution to show that these multiple pathways coexist simultaneously and specifically that the virus can be activated by different proteases in different cellular compartments with mechanistically identical effect. The consequences of this are that the virus is evolutionarily plastic and that therapies targeting viral entry should address multiple pathways at once to achieve optimal clinical effects.

microbiology↗

bioRxiv2020

Precise triggering and chemical control of single-virus fusion within endosomes

Many enveloped viruses infect cells within endocytic compartments. The drop in pH that accompanies endosomal maturation, often in conjunction with proteolytic factors, serves as a trigger for viral fusion proteins to insert into the endosomal membrane and drive fusion. The dynamics of this process has been studied by tracking viruses within living cells, which limits the precision with which fusion can be synchronized and controlled, and by reconstituting viral fusion to synthetic membranes, which introduces non-physiological membrane curvature and composition. To overcome these limitations, we have engineered the chemically controllable triggering of single-virus fusion within endosomes. We isolate influenza virus:endosome conjugates from cells prior to fusion, immobilize them in a microfluidic flow cell, and then rapidly and controllably trigger fusion. This platform demonstrates lipid-mixing kinetics that are grossly similar to influenza fusion with model membranes but display some subtle differences. Because it preserves endosomal membrane asymmetry and protein composition, it also provides a means to test how perturbations to endosomal trafficking and cellular restriction factors affect viral membrane fusion.

biophysics↗

bioRxiv2019

Antibiotic uptake across gram-negative outer membranes: better predictions towards better antibiotics

Crossing the gram-negative bacterial membrane poses a major barrier to antibiotic development, as many small molecules that can biochemically inhibit key bacterial processes are rendered microbiologically ineffective by their poor cellular uptake. The outer membrane is the major permeability barrier for many drug-like molecules, and the chemical properties that enable efficient uptake into mammalian cells fail to predict bacterial uptake. We have developed a computational method for accurate prospective prediction of outer-membrane uptake of drug-like molecules, which we combine with a new medium-throughput experimental assay. Parallel molecular dynamics simulations are used to successfully and quantitatively predict experimental permeabilities. For most polar molecules we test, outer membrane permeability also correlates well with whole-cell uptake. The ability to accurately predict and measure outer-membrane uptake of a wide variety of small molecules will enable simpler determination of which molecular scaffolds and which derivatives are most promising prior to extensive chemical synthesis. It will also assist in formulating a more systematic understanding of the chemical determinants of outer-membrane permeability.

biochemistry↗