Biology subjects

Wolynes, P. G.

Publications and source records attributed to Wolynes, P. G..

At least 19 recordsLinked to original sources

bioRxiv2026

CaMKII generates actin bundle morphology and mechanics distinct from canonical bivalent cross-linkers

Actin cross-linkers are essential modulators of the actin cytoskeleton, enabling structural diversity and dynamic remodeling. Among them, calcium/calmodulin-dependent protein kinase II (CaMKII) is unique in serving a dual role as a kinase and as a multivalent structural binder of actin in dendritic spines, where it plays a major role in supporting dendritic spine structure via its {beta} subunit. To understand the basis of the structural function of CaMKII, we quantified the morphology and mechanics of actin bundles formed by CaMKII and directly compared them with bundles assembled by the canonical bivalent cross-linkers -actinin and fascin. Using fluorescence microscopy, we measured contour length, straightness ratio, and persistence length across different cross-linker concentrations. Fascin generated progressively shorter, straighter, and stiffer bundles with increasing concentration, whereas -actinin bundles remained largely unchanged. In contrast, increasing CaMKII concentration reduced both bundle straightness and persistence length, revealing a unique concentration-dependent increase in bundle flexibility. To investigate the structural origins of these mechanical behaviors, we complemented the experiments with coarse-grained simulations of cross-linked actin bundles. Simulations revealed that CaMKII-generated bundles retained a substantially larger fraction of their curvature in their time-averaged configuration than bundles formed by -actinin or fascin, indicating that bundle mechanics are strongly influenced by organizational features beyond thermal bending fluctuations alone. CaMKII bundles displayed behavior consistent with additional structural complexity arising from their multivalent architecture and flexible linker domains. Together, our experimental and computational results identify CaMKII as a structurally and mechanically distinct actin cross-linker. We propose that the combination of multivalency and linker flexibility enables CaMKII to function as a molecular structural pivot, promoting flexible, adaptable actin assemblies that are mechanically compatible with the dynamic remodeling required for dendritic spine plasticity.

biophysics↗

bioRxiv2025

Cracking Controls ATP Hydrolysis in the catalytic domain of a P-ATPase

Membrane transporters are essential for homeostasis and among them P-type ATPases are key players. Despite extensive research, conformational changes in their catalytic unit and their coupling to ATP hydrolysis are not explored in detail. In this work, we analyzed the effect of ATP, temperature, and urea on the steady-state ATPase activity, tryptophan fluorescence and far-UV ellipticity of the catalytic unit of the thermophilic Cu(I) transport P1B-ATPase from Archaeoglobus fulgidus. Combining local frustration analysis with AlphaFold2, we identified an open conformation which we used to perform structure-based model simulations of the open-closed transition. We developed a mechanistic model that fully describes all of our experimental observations. Our results revealed a "cracking"-like mechanism involved in the catalysis of ATP hydrolysis. These findings reinforce that, although simple, the isolated catalytic unit is a relevant model to study the role of local unfolding in the catalytic mechanism of these proteins.

biophysics↗

bioRxiv2024

Real-Time Visualization of Protein Microenvironment Changes with High Spatial Resolution in Live Cells via Site-Specific Incorporation of Rotor-Based Fluorescent Noncanonical Amino Acids

Traditional methods, such as the use of fluorescent protein fusions and environment-sensitive fluorophores, have limitations when studying protein microenvironment changes at the finest spatial resolution. These techniques often rely on bulky proteins or tags restricted to the N- or C-terminus, which can disrupt the natural behavior of the target protein and dramatically limit the ability of their method to investigate noninvasively microenvironment effects. To overcome these challenges, we have developed an innovative strategy to visualize microenvironment changes of protein substructures in real-time by genetically incorporating environment-sensitive noncanonical amino acids (ncAAs) containing rotor-based fluorophores (RBFs) at specific positions within a protein of interest. Through computational redesign of aminoacyl-tRNA synthetase, we successfully incorporated these rotor-based ncAAs into various proteins in mammalian cells. By site-specifically placing these ncAAs in distinct regions of proteins, we detected microenvironmental changes of several different protein domains during events such as aggregation, clustering, aggregation disassembly, and cluster dissociation.

biochemistry↗

bioRxiv2023

Frustraevo: A Web Server To Localize And Quantify The Conservation Of Local Energetic Frustration In Protein Families

According to the Principle of Minimal Frustration, folded proteins can have only a minimal number of strong energetic conflicts in their native states. However, not all interactions are energetically optimized for folding but some remain in energetic conflict, i.e. they are highly frustrated. This remaining local energetic frustration has been shown to be statistically correlated with distinct functional aspects such as protein-protein interaction sites, allosterism and catalysis. Fuelled by the recent breakthroughs in efficient protein structure prediction that have made available good quality models for most proteins, we have developed a strategy to calculate local energetic frustration within large protein families and quantify its conservation over evolutionary time. Based on this evolutionary information we can identify how stability and functional constraints have appeared at the common ancestor of the family and have been maintained over the course of evolution. Here, we present FrustraEvo, a web server tool to calculate and quantify the conservation of local energetic frustration in protein families. The webserver is freely available at URL: https://frustraevo.qb.fcen.uba.ar

bioinformatics↗

bioRxiv2023

The Evolution of Local Energetic Frustration in Protein Families

Energetic local frustration offers a biophysical perspective to interpret the effects of sequence variability on protein families. Here we present a methodology to analyze local frustration patterns within protein families that allows us to uncover constraints related to stability and function, and identify differential frustration patterns in families with a common ancestry. We have analyzed these signals in very well studied cases such as PDZ, SH3, and {beta} globins and RAS families. Recent advances in protein structure prediction make it possible to analyze a vast majority of the protein space. An automatic and unsupervised proteome-wide analysis on the SARS-CoV-2 virus demonstrates the potential of our approach to enhance our understanding of the natural phenotypic diversity of protein families beyond single protein instances. We have applied our method to modify biophysical properties of natural proteins based on their family properties, as well as perform unsupervised analysis of large datasets to shed light on the physicochemical signatures of poorly characterized proteins such as emergent pathogens.

bioinformatics↗

bioRxiv2022

Mass spectrometry of RNA-binding proteins during liquid-liquid phase separation reveals distinct assembly mechanisms and droplet architectures

Phase separation of heterogeneous ribonucleoproteins (hRNPs) drives the formation of membraneless organelles, but structural information about their assembled states is still lacking. Here, we address this challenge through a combination of protein engineering, native ion mobility-mass spectrometry, and molecular dynamics simulations. We used a phase separation-compatible spider silk domain and pH changes to control the self-assembly of the hRNPs FUS, TDP-43, and hCPEB3, which are implicated in neurodegeneration, cancer, and memory storage. By releasing the proteins inside the mass spectrometer from their native assemblies, we could monitor conformational changes associated with phase separation. We find that NT*-FUS monomers undergo an unfolded-to-globular transition, whereas NT*-TDP-43 oligomerizes into partially disordered dimers and trimers. NT*-hCPEB3, on the other hand, remains fully disordered with a preference for fibrillar aggregation over phase separation. The divergent assembly mechanisms result in structurally distinct complexes, indicating differences in RNA processing and translation depending on biological context.

biophysics↗

bioRxiv2022

An intrinsically disordered transcription activation domain alters the DNA binding affinity and specificity of NFκB p50/RelA

Many transcription factors contain intrinsically disordered transcription activation domains (TADs), which mediate interactions with co-activators to activate transcription. Historically, DNA-binding domains and TADs have been considered as modular units, but recent studies have shown that TADs can influence DNA binding. We biophysically characterized the NF{kappa}B p50/RelA heterodimer including the RelA TAD and investigated the TADs influence on NF{kappa}B-DNA interactions. In solution the RelA TAD is disordered but compact, with helical tendency in two regions that interact with co-activators. The presence of the TAD increased the stoichiometry of NF{kappa}B-DNA complexes containing promoter DNA sequences with tandem {kappa}B recognition motifs by promoting the binding of NF{kappa}B dimers in excess of the number of {kappa}B sites. We measured the binding affinity of p50/RelA for DNA containing tandem {kappa}B sites and single {kappa}B sites. While the presence of the TAD enhanced the binding affinity of p50/RelA for all {kappa}B sequences tested, it increased the affinity for non-specific DNA sequences by over 10-fold, leading to an overall decrease in specificity for {kappa}B DNA sequences. Our results reveal a novel function of the RelA TAD in promoting binding to non-consensus DNA previously observed by in vivo studies of NF{kappa}B-DNA binding in response to strong inflammatory signals.

biochemistry↗

bioRxiv2022

Unleashing the Potential of Noncanonical Amino Acid Biosynthesis for Creation of Cells with Site-Specific Tyrosine Sulfation

Incorporation of noncanonical amino acids (ncAAs) into proteins holds great promise for modulating the structure and function of those proteins and for influencing evolutionary dynamics in organisms. Despite significant progress in improving the efficiency of translational machinery needed for incorporating ncAAs, exogenous feeding of high concentrations of chemically-synthesized ncAAs, especially in the case of polar ncAAs, is required to ensure adequate intracellular ncAA levels. Here, we report the creation of autonomous cells, both prokaryotic and eukaryotic, with the ability to biosynthesize and genetically encode sulfotyrosine (sTyr), an important protein post-translational modification with low membrane permeability. We discovered the first enzyme catalyzing tyrosine sulfation, sulfotransferase 1C1 from Nipponia nippon (NnSULT1C1), using a sequence similarity network (SSN). The unique specificity of NnSULT1C1 for tyrosine has been systematically explored using both bioinformatics and computational methods. This NnSULT1C1 was introduced into both bacterial and mammalian cells so as to yield organisms capable of biosynthesizing high levels of intracellular sTyr. These engineered cells produced site-specifically sulfated proteins at a higher yield than cells fed exogenously even with the highest level of sTyr reported in literature. We have used these autonomous cells to prepare highly potent thrombin inhibitors with site-specific sulfation. By enhancing ncAA incorporation efficiency, this added ability of cells to biosynthesize ncAAs and genetically incorporate them into proteins greatly extends the utility of genetic code expansion methods. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=188 SRC="FIGDIR/small/485857v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@2c3b08org.highwire.dtl.DTLVardef@1d7a914org.highwire.dtl.DTLVardef@19d9f91org.highwire.dtl.DTLVardef@156ee8c_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2022

Interphase chromosomes of the Aedes aegypti mosquito are liquid crystalline and can sense mechanical cues

We use data-driven physical simulations to study the three-dimensional architecture of the Aedes aegypti genome. Hi-C maps exhibit both a broad diagonal and compart-mentalization with telomeres and centromeres clustering together. Physical modeling reveals that these observations correspond to an ensemble of 3D chromosomal structures that are folded over and partially condensed. Clustering of the centromeres and telomeres near the nuclear lamina appears to be a necessary condition for the formation of the observed structures. Further analysis of the mechanical properties of the genome reveals that the chromosomes of Aedes aegypti, by virtue of their atypical structural organization, are highly sensitive to the deformation of the nuclei. This last finding provides a possible physical mechanism linking mechanical cues to gene regulation.

genomics↗

bioRxiv2021

A structural dynamics model for how CPEB3 binding to SUMO2 can regulate translational control in dendritic spines

A prion-like RNA-binding protein, CPEB3, can regulate local translation in dendritic spines. CPEB3 monomers repress translation, whereas CPEB3 aggregates activate translation of its target mRNAs. However, the CPEB3 aggregates, as long-lasting prions, may raise the problem of unregulated translational activation. Here, we propose a computational model of the complex structure between CPEB3 RNA-binding domain (CPEB3-RBD) and small ubiquitin-like modifier protein 2 (SUMO2). Free energy calculations suggest that the allosteric effect of CPEB3-RBD/SUMO2 interaction can amplify the RNA-binding affinity of CPEB3. Combining with previous experimental observations on the SUMOylation mode of CPEB3, this model suggests an equilibrium shift of mRNA from binding to deSUMOylated CPEB3 aggregates to binding to SUMOylated CPEB3 monomers in basal synapses. This work shows how a burst of local translation in synapses can be silenced following a stimulation pulse, and explores the CPEB3/SUMO2 interplay underlying the structural change of synapses and the formation of long-term memories.

molecular biology↗

bioRxiv2021

Examining the Ensembles of Amyloid-β Monomer Variants and their Propensities to Form Fibers Using an Energy Landscape Visualization Method

The amyloid-{beta} (A{beta}) monomer, an intrinsically disordered peptide, is produced by the cleavage of the amyloid precursor protein, leading to A{beta}40 and A{beta}42 as major products. These two isoforms generate pathological aggregates, whose accumulation correlates with Alzheimers disease (AD). Experiments have shown that even though the natural abundance of A{beta}42 is smaller than that for A{beta}40, the A{beta}42 is more aggregation-prone compared to A{beta}40. Moreover, several single-point mutations are associated with early-onset forms of AD. This work analyzes coarse-grained AWSEM simulations of normal A{beta}40 and A{beta}42 monomers, along with six single-point mutations associated with early on set disease. We analyzed the simulations using the Energy Landscape Visualization Method (ELViM), a reaction coordinate-free approach suited to explore the frustrated energy landscapes of intrinsically disordered proteins. ELViM is shown to distinguish the monomer ensembles of variants that rapidly form fibers from those that do not form fibers as readily. It also delineates the amino-acid contacts characterizing each ensemble. The results shed light on the potential of ELViM to probe intrinsically disordered proteins.

biophysics↗

bioRxiv2021

Vectorial Channeling as a Mechanism for Translational Control by Functional Prions and Condensates

Translation of messenger RNA is regulated through a diverse set of RNA-binding proteins. A significant fraction of RNA-binding proteins contain prion-like domains which form functional prions. This raises the question of how prions can play a role in translational control. Local control of translation in dendritic spines by prions has been invoked in the mechanism of synaptic plasticity and memory. We show how channeling through diffusion and processive translation cooperate in highly ordered mRNA/prion aggregates as well as in less ordered mRNA/protein condensates depending on their sub-structure. We show the direction of translational control, whether it is repressive or activating, depends on the polarity of the mRNA distribution in mRNA/prion assemblies which determines whether vectorial channeling can enhance recycling of ribosomes. Our model also addresses the effect of changes of substrate concentration in assemblies that have been suggested previously to explain translation control by assemblies through the introduction of a potential of mean force biasing diffusion of ribosomes inside the assemblies. The results from the model are compared with the experimental data on translational control by two functional RNA-binding prions, CPEB involved in memory and Rim4 involved in gametogenesis. Significance StatementmRNA/protein assemblies such as functional prions and condensates are involved in locally regulating translation in eukaryotic cells. The mode of regulation depends on the structure of these assemblies. We show that the vectorial processive nature of translation can couple to transport via diffusion so as to repress or activate translation depending on the structure of the RNA protein assembly. We find that multiple factors including diffusivity changes and free energy biases in the assemblies can regulate the translation rate of mRNA by changing the balance between substrate recycling and competition between mRNAs. We mainly focus on the example of CPEB, a functional prion that has been implicated in the mechanism of synaptic plasticity of neurons and in memory.

biophysics↗

bioRxiv2021

Slow, heterogeneous NFκB single molecule conformational dynamics and implications for function

Binding and unbinding of transcription factors to DNA are kinetically controlled to regulate the transcriptional outcome. Control of the release of the transcription factor NF-{kappa}B from DNA is achieved through accelerated dissociation by the inhibitor protein I{kappa}B. Using single-molecule FRET, we observe a continuum of conformations of NF-{kappa}B in free and DNA-bound states interconverting on the subseconds to minutes timescale, comparable to in vivo binding on the seconds timescale, suggesting that structural dynamics directly control binding kinetics. Much of the DNA-bound NF-{kappa}B is partially bound, allowing I{kappa}B invasion to facilitate DNA dissociation. I{kappa}B induces a locked conformation where the DNA-binding domains of NF-{kappa}B are too far apart to bind DNA, whereas the loss-of-function I{kappa}B mutant retains the NF-{kappa}B conformational ensemble. Overall, our results suggest a novel mechanism with a continuum of binding modes for controlling association and dissociation of transcription factors.

biophysics↗

bioRxiv2020

FrustratometeR: an R-package to compute Local frustration in protein structures, point mutants and MD simulations

Once folded, natural protein molecules have few energetic conflicts within their polypeptide chains. Many protein structures do however contain regions where energetic conflicts remain after folding, i. e. they have highly frustrated regions. These regions, kept in place over evolutionary and physiological timescales, are related to several functional aspects of natural proteins such as protein-protein interactions, small ligand recognition, catalytic sites and allostery. Here we present FrustratometeR, an R package that easily computes local energetic frustration on a personal computer or a cluster. This package facilitates large scale analysis of local frustration, point mutants and molecular dynamics (MD) trajectories, allowing straightforward integration of local frustration analysis into pipelines for protein structural analysis. Contactgonzalo.parra@embl.de Availability and implementationhttps://github.com/proteinphysiologylab/frustratometeR

bioinformatics↗

bioRxiv2020

Frustration in protein complexes leads to interaction versatility

Disordered proteins can fold into a well-defined structure upon binding but these complexes are often fuzzy: the originally disordered partner adopts different binding modes when bound to different partners. Here we perform a systematic analysis of 160 proteins that form fuzzy complexes and demonstrate that the disordered partner displays a high degree of frustration in both the free and bound states. Although the folding of disordered regions upon binding reduces frustration relative to that of the unbound state, the interactions at the binding interface do not become fully optimized. In addition, we show that sub-optimal interactions lead to alternative frustration patterns in the complexes with different partners. These results demonstrate that disordered proteins do not always achieve fully optimal interactions in their complexes and their residual frustration leads to interaction versatility with different partners.

bioinformatics↗

bioRxiv2020

OpenAWSEM with Open3SPN2: a fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations

We present OpenAWSEM and Open3SPN2, new cross-compatible implementations of coarse-grained models for protein (AWSEM) and DNA (3SPN2) molecular dynamics simulations within the OpenMM framework. These new implementations retain the chemical accuracy and intrinsic efficiency of the original models while adding GPU acceleration and the ease of forcefield modification provided by OpenMMs Custom Forces software framework. By utilizing GPUs, we achieve more than a 100-fold speedup in protein and protein-DNA simulations over the existing LAMMPS-based implementations running on a CPU. We showcase the benefits of OpenMMs Custom Forces framework by devising and implementing two new potentials that allow us to address important aspects of protein folding and structure prediction and by testing the ability of the combined OpenAWSEM and Open3SPN2 to model protein-DNA binding. The first potential is used to describe the changes in effective interactions that occur as a protein becomes partially buried in a membrane. We also introduced an interaction to describe proteins with multiple disulfide bonds. Using simple pairwise disulfide bonding terms results in unphysical clustering of cysteine residues, posing a problem when simulating the folding of proteins with many cysteines. We now can computationally reproduce Anfinsens early Nobel prize winning experiments [1] by using OpenMMs Custom Forces framework to introduce a multi-body disulfide bonding term that prevents unphysical clustering. Our protein-DNA simulations show that the binding landscape is funneled towards structures that are quite similar to those found using experiments. In summary, this paper provides a simulation tool for the molecular biophysics community that is both easy to use and sufficiently efficient to simulate large proteins and large protein-DNA systems that are central to many cellular processes. These codes should facilitate the interplay between molecular simulations and cellular studies, which have been hampered by the large mismatch between the time and length scales accessible to molecular simulations and those relevant to cell biology. Author summaryThe cells most important pieces of machinery are large complexes of proteins often along with nucleic acids. From the ribosome, to CRISPR-Cas9, to transcription factors and DNA-wrangling proteins like the SMC-Kleisins, these complexes allow organisms to replicate and enable cells to respond to environmental cues. Computer simulation is a key technology that can be used to connect physical theories with biological reality. Unfortunately, the time and length scales accessible to molecular simulation have not kept pace with our ambition to study the cells molecular factories. Many simulation codes also unfortunately remain effectively locked away from the user community who need to modify them as more of the underlying physics is learned. In this paper, we present OpenAWSEM and Open3SPN2, two new easy-to-use and easy to modify implementations of efficient and accurate coarse-grained protein and DNA simulation forcefields that can now be run hundreds of times faster than before, thereby making studies of large biomolecular machines more facile.

molecular biology↗

bioRxiv2020

Protein Structure Refinement Guided by Atomic Packing Frustration Analysis

1Recent advances in machine learning, bioinformatics and the understanding of the folding problem have enabled efficient predictions of protein structures with moderate accuracy, even for targets when there is little information from templates. All-atom molecular dynamics simulations provide a route to refine such predicted structures, but unguided atomistic simulations, even when lengthy in time, often fail to eliminate incorrect structural features that would allow the structure to become more energetically favorable owing to the necessity of making large scale motions and overcoming energy barriers for side chain repacking. In this study, we show that localizing packing frustration at atomic resolution by examining the statistics of the energetic changes that occur when the local environment of a site is changed allows one to identify the most likely locations of incorrect contacts. The global statistics of atomic resolution frustration in structures that have been predicted using various algorithms provide strong indicators of structural quality when tested over a database of 20 targets from previous CASP experiments. Residues that are more correctly located turn out to be more minimally frustrated than more poorly positioned sites. These observations provide a diagnosis of both global and local quality of predicted structures, and thus can be used as guidance in all-atom refinement simulations of the 20 targets. Refinement simulations guided by atomic packing frustration turn out to be quite efficient and significantly improve the quality of the structures.

biophysics↗

bioRxiv2020

Exploring Chromosomal Structural Heterogeneity AcrossMultiple Cell Lines

We study the structural ensembles of human chromosomes across different cell types. Using computer simulations, we generate cell-specific 3D chromosomal structures and compare them to recently published chromatin structures obtained through microscopy. We demonstrate using a combination of machine learning and polymer physics simulations that epigenetic information can be used to predict the structural ensembles of multiple human cell lines. The chromosomal structures obtained in silico are quantitatively consistent with those obtained through microscopy as well as DNA-DNA proximity ligation assays. Theory predicts that chromosome structures are fluid and can only be described by an ensemble, which is consistent with the observation that chromosomes exhibit no unique fold. Nevertheless, our analysis of both structures from simulation and microscopy reveals that short segments of chromatin make transitions between a closed conformation and an open dumbbell conformation. This conformational transition appears to be consistent with a two-state process with an effective free energy cost of about four times the effective information theoretic temperature. Finally, we study the conformational changes associated with the switching of genomic compartments observed in human cell lines. Genetically identical but epigenetically distinct cell types appear to rearrange their respective structural ensembles to expose segments of transcriptionally active chromatin, belonging to the A genomic compartment, towards the surface of the chromosome, while inactive segments, belonging to the B compartment, move to the interior. The formation of genomic compartments resembles hydrophobic collapse in protein folding, with the aggregation of denser and predominantly inactive chromatin driving the positioning of active chromatin toward the surface of individual chromosomal territories.

biophysics↗