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Roy, U.

Publications and source records attributed to Roy, U..

At least 19 recordsLinked to original sources

Structural Aspects of Nipah Virus Glycoproteins using Predictive Protein Modeling

Nipah is a virus borne zoonotic disease that mostly occurs in Southeast Asian countries. Nipah virus (NiV) infection is potentially lethal as it can cause fatal encephalitis, and as of now, there are no vaccines or therapeutic treatments for this disease. The highly pathogenic NiV belongs to the Paramyxovirus family and the natural host of NiV is fruit bats of the Pteropodidae family. Though NiV has not been detected in the US, rather recently the Camp Hill virus (CHV) in shrew species was identified in Camp Hill, Alabama. This virus is characteristically similar to Nipah, and belongs to the henipavirus genus that include the Nipah and Hendra viruses. NiV has two surface glycoproteins namely the attachment glycoprotein (NiVG) and the fusion glycoprotein (NiVF). Being associated with host cell attachment and fusion of viral membrane, these glycoproteins tend to facilitate the viral entry to the host cell. The present paper describes the structures of the aforesaid viral glycoproteins based on the available database of protein structures and examines if they have an evolutionary link to other viral glycoproteins. Certain similar glycoproteins found in different countries are also explored. The structure-function relationship for these two NiV glycoproteins are determined using time-based molecular dynamics (MD) simulation. The interfacial ligand-receptor interactions between NiV proteins with human receptor and monoclonal antibody, Fab 66, are examined. A primary motivation for these structural studies is that the results might potentially contribute to future therapeutic developments and drug designs to effectively combat NiV.

biochemistry↗

A minimal physical model of adhesion-dependent protrusion explains confined haptotaxis and oscillatory cell migration

Haptotaxis is the directed migration of cells along gradients of substrate adhesion, and is an important guidance mechanism in biology. Recent experiments on fibronectin-patterned tracks show that cells typically migrate toward higher adhesion, then oscillate around the adhesion maximum, with substantial variability in speed and cell length. To explain these cellular shape and migration dynamics we present a minimal model for confined haptotaxis, built around one key physical ingredient: local adhesion strength directly enhances the recruitment of protrusive actin polymerization activity at the cell edge. This coupling creates a front-rear difference in protrusive activity, biasing the cell towards polarization in the direction of the higher adhesion. Quantitative comparison with experiment shows strong agreement at multiple levels: cell population-level directionality statistics and position-dependent changes in cell length and velocity. At the single-cell level, the model reproduces the full diversity of experimentally observed trajectories, including haptotactic bias and its dependence on adhesion-gradient strength, initial position, length and speed variations, myosin II inhibition, and migration on inverted adhesion gradients. Variability in experimental trajectories and migration speed is explained by differences in intrinsic actin polymerization activity and stochastic fluctuations, accounting for the full spectrum of observed migration patterns. Together, our results identify adhesion-dependent amplification of protrusive activity as a minimal and sufficient physical mechanism for understanding haptotaxis.

biophysics↗

A fungal hemophore relay mediates heme transfer via transient protein interactions

The fungal pathobiont Candida albicans acquires heme from host proteins via a set of soluble and anchored extracellular CFEM-type hemophores that can capture the bound heme and exchange it, eventually delivering it to the cell membrane for endocytosis into the yeast cell. Yet the molecular mechanism by which the heme is transferred through this protein cascade across the cell envelope remains unclear. To address this mechanism, we developed a set a fusions of three C. albicans hemophores with fluorescent proteins. Fluorescence of these fusion proteins is strongly quenched when heme is bound to the hemophore moiety, enabling to measure heme transfer instantaneously. Kinetic analysis of the different transfer reactions reveals that heme transfer from the host protein to the CFEM hemophores and between the CFEM hemophores are governed by different regimes. Kinetics of heme transfer from hemoglobin or serum albumin to the CFEM hemophores is mainly first-order, suggesting that heme stochastically released from host proteins is captured by the hemophores. In contrast, transfer of heme between the hemophores is near second-order, consistent with a mechanism requiring protein-protein interactions. To confirm this, we show that CFEM hemophores can interact in homodimeric and heterodimeric complexes. Furthermore, while dimerization-defective mutants of the soluble hemophore Csa2 are proficient in heme binding and extraction, they are defective in heme transfer. This supports a model of heme transfer by direct interaction between the members of the fungal hemophore cascade. SIGNIFICANCEAcquisition of extracellular heme as iron or heme sources is common in microorganisms, and particularly prevalent among pathogenic organisms that must contend with an iron-poor host environment. To extract heme from host proteins, microorganisms deploy various systems that include extracellular soluble and cell-anchored hemophores. Here we describe a new approach for monitoring heme binding and transfer in real time, based on the development of fluorescent derivatives of fungal hemophores. These novel reagents open a new window on the study of a common virulence factor of microbial pathogens.

microbiology↗

A Unified Control of Cellular Differentiation: From Temporal Multistability to Spatial Pattern Formation in Gene Regulatory Networks

How genetically identical cells spontaneously break symmetry to assume divergent fates is a fundamental problem in developmental biology. While modern genomics has mapped the vast molecular repertoire involved in gene regulation, understanding the mechanism of cell state transitions that drive differentiation remains a formidable challenge. To address this, we use a reaction-kinetic framework to analyze recurring motifs of two and three competing master regulators. While typically such circuits are studied numerically, we show that assuming symmetry in nodes and interactions provides exact analytical description of the bifurcations governing cell fate transitions. We find that the possible cell fates across all considered topologies are dictated by a single dimensionless quantity, {beta}--the ratio of protein degradation to production rates. In the binary Toggle Switch (TS), decreasing {beta} destabilizes the symmetric (stem cell) state, giving rise to two asymmetric (differentiated) fates via a supercritical pitchfork bifurcation. In the three-component Toggle Triad (TT), low values of {beta} yield three asymmetric fates through subcritical pitchfork bifurcation, creating an intermediate range of {beta} where both symmetric and asymmetric fates are simultaneously stable. For the Self-Activating Toggle Switch (SATS), we identify a new parameter for the self-activation threshold ({theta}) and show that decreasing{theta} progressively stabilizes the uncommitted state, leading to a regime of tristability. Building on these temporal bifurcations, we next address the feasibility of spatial structure formation: can these multistable fates stably coexist within a spatial domain? Through a minimal model of cell-cell communication via free diffusion, we extend these motifs into reaction-diffusion systems, which reveals a direct role of network topology on spatial organization. We prove that any heterogeneous pattern in two-node circuits is inherently transient and unstable. In contrast, the three-node repressive network supports the stable spatial coexistence of differentiated phenotypes through pure diffusion, a phenomenon we analyze by studying heteroclinic interface solutions as building blocks. By reducing complex regulatory dynamics to tractable models with physically meaningful parameters, we establish a minimal framework which relates topology to cell fate. Finally, the effects of temporal multistability on pattern formation provide an excellent studying ground for morphogenesis, synthetic biology, and the overarching problem of spatiotemporal self-organization.

systems biology↗

Metabolic pathway competition sensitizes thioredoxin reductase-depleted Candida albicans to cell wall stress and antifungals

Candida albicans is the most common invasive human fungal pathogen. Each of the currently available 3 antifungal drug classes is limited by toxicities, drug interactions or inadequate penetration of critical tissues. We discovered a connection between C. albicans TOR and thioredoxin reductase, Trr1. Fungal and human thioredoxin reductases diverge fundamentally and are essential for repair of oxidatively damaged macromolecules, so they may be promising drug targets. We found that Trr1 is required for C. albicans growth at human body temperatures, hyphal growth regulation and management of oxidative and cell wall stress. Its depletion sensitizes C. albicans to AmphotericinB and to an echinocandin. TRR1-depleted cells have lower cell wall glucan content. Metabolomics experiments highlighted their perturbed pentose phosphate pathway (PPP). They have sharply elevated activity of glucose-6-phosphate dehydrogenase, the first, rate-limiting enzyme of the PPP. A key glycolytic, gluconeogenic and UDP-glucose biosynthetic enzyme each show decreased activity. UDP-glucose is the substrate of cell wall glucan-producing enzymes. We propose that Trr1-depleted cells accelerated glucose-6-phosphate flux into the PPP, driven by demand for NADPH reducing equivalents, diminishes glucose-6-phosphate availability for UDP-glucose production and hence for cell wall construction, weakening the wall. Strikingly dysregulated signaling pathways in Trr1-depleted cells contribute to their stress hypersensitivities.

microbiology↗

Cell Fate by Design or Chance: Interplay of Nonlinearity and Stochasticity in Gene Regulatory Network motifs

Cell fate decisions emerge from the intricate tug-of-war between deterministic regulatory logic and stochastic molecular fluctuations. How stochasticity, inherent in intracellular Gene Regulatory Networks (the heart of determining cellular fates), shapes cellular regulatory dynamics is central to and essential for both interpreting natural cellular decision-making and designing robust synthetic circuits. In this work, we develop a general mathematical framework based on the linear noise approximation (LNA) to quantify intrinsic fluctuations around the mean expression levels in a single-cell GRN motif with nonlinear cooperative regulatory couplings. The genetic toggle switch (TS) and TS coupled with positive autoregulation, as illustrative examples, exhibit both continuous and discontinuous transitions (bifurcation) between low- and high-expression states driven by nonlinear regulation. We demonstrate that LNA captures both deterministic and stochastic dynamics. We find that the LNA performs well in capturing the inherent stochasticity in both monostable and bistable regimes. Still, deviations arise near bifurcation points: fluctuations are enhanced near criticality in continuous transitions, while finite-size effects dominate discontinuous transitions, analogous to critical phenomena in statistical physics. Finally, we discuss the implications of our framework for designing synthetic gene circuits.

biophysics↗

Structural basis for Rad54- and Hed1-mediated regulation of Rad51 during the transition from mitotic to meiotic recombination

Rad51 catalyzes the DNA pairing reactions that take place during homologous recombination (HR), and HR must be tightly regulated to ensure physiologically appropriate outcomes. Rad54 is an ATP-dependent DNA motor protein that stimulates Rad51 activity during mitosis. In meiosis Rad51 is downregulated by the protein Hed1, which blocks Rad54 binding to Rad51, and allows Dmc1 to function as the active recombinase. We currently have a poor understanding of the regulatory interplay between Rad54, Hed1, Rad51 and Dmc1. Here, we identify a conserved Rad51 interaction motif within Rad54, and we solve a CryoEM structure of this motif bound to Rad51. We also identify a distinct Rad51 interaction motif within Hed1 and solve its structure bound to Rad51. These structures explain how Rad54 engages Rad51 to promote recombination between sister chromatids during mitosis and how Rad51 is downregulated by Hed1 upon entry into meiosis such that its meiosis-specific homolog Dmc1 can promote recombination between homologous chromosomes.

biochemistry↗

Candida albicans' inorganic phosphate transport and evolutionary adaptation to phosphate scarcity

Phosphorus is essential in all cells structural, metabolic and regulatory functions. For fungal cells that import inorganic phosphate (Pi) up a steep concentration gradient, surface Pi transporters are critical capacitators of growth. Fungi must deploy Pi transporters that enable optimal Pi uptake in pH and Pi concentration ranges prevalent in their environments. Single, triple and quadruple mutants were used to characterize the four Pi transporters we identified for the human fungal pathogen Candida albicans, which must adapt to alkaline conditions during invasion of the host bloodstream and deep organs. A high-affinity Pi transporter, Pho84, was most efficient across the widest pH range while another, Pho89, showed high-affinity characteristics only within one pH unit of neutral. Two low-affinity Pi transporters, Pho87 and Fgr2, were active only in acidic conditions. Only Pho84 among the Pi transporters was clearly required in previously identified Pi-related functions including Target of Rapamycin Complex 1 signaling and hyphal growth. We used in vitro evolution and whole genome sequencing as an unbiased forward genetic approach to probe adaptation to prolonged Pi scarcity of two quadruple mutant lineages lacking all 4 Pi transporters. Lineage-specific genomic changes corresponded to divergent success of the two lineages in fitness recovery during Pi limitation. In this process, initial, large-scale genomic alterations like aneuploidies and loss of heterozygosity were eventually lost as populations presumably gained small-scale mutations. Severity of some phenotypes linked to Pi starvation, like cell wall stress hypersensitivity, decreased in parallel to evolving populations fitness recovery in Pi scarcity, while that of others like membrane stress responses diverged from these fitness phenotypes. C. albicans therefore has diverse options to reconfigure Pi management during prolonged scarcity. Since Pi homeostasis differs substantially between fungi and humans, adaptive processes to Pi deprivation may harbor small-molecule targets that impact fungal growth and virulence. Author SummaryFungi must be able to access enough phosphate in order to invade the human body. Virulence of Candida albicans, the most common invasive human fungal pathogen, is known to decrease when one of the proteins that brings phosphate into the fungal cell, called Pho84, is disabled. We identified three more proteins in C. albicans that transport phosphate into the cell. We found that Pho84 plays the largest role among them across the broadest range of environmental conditions. After eliminating all 4 of these transporters, we let two resulting mutants evolve for two months in limited phosphate and analyzed the growth and stress resistance of the resulting populations. We analyzed genomes of representative populations and found that early adaptations to phosphate scarcity occurred together with major changes to chromosome configurations. In later stages of the adaptation process, these large-scale changes disappeared as populations presumably gained small-scale mutations that increased cells ability to grow in limited phosphate. Some but not all of these favorable mutations improved resistance of evolving populations to stressors like membrane- and cell wall stress. Pinpointing distinct mutation combinations that affect stress resistance differently in populations adapting to scarce phosphate, may identify useful antifungal drug targets.

microbiology↗

Spatio-temporal Pattern Formation due to Host-Circuit Interplay in Gene Expression Dynamics

Biological systems are majorly dependent on their property of bistability in order to exhibit nongenetic heterogeneity in terms of cellular morphology and physiology. Spatial patterns of phenotypically heterogeneous cells, arising due to underlying bistability, may play significant role in phenomena like biofilm development, adaptation, cell motility etc. While nonlinear positive feedback regulation, like cooperative heterodimer formation are the usual reason behind bistability, similar dynamics can also occur as a consequence of host-circuit interaction. In this paper, we have investigated the pattern formation by a motif with non-cooperative positive feedback, that imposes a metabolic burden on its host due to its expression. In a cellular array set inside diffusible environment, we investigate spatio-temporal diffusion in one dimension as well as in two dimension in the context of various initial conditions respectively. Moreover, the number of cells exhibiting the same steady state, as well as their spatial distribution has been quantified in terms of connected component analysis. The effect of diffusion coefficient variation has been studied in terms of stability of related states and time evolution of patterns.

biophysics↗

Implications of Spike Protein Interactions with Zn-bound form of ACE2: A Computational Structural Study

The COVID-19 pandemic has generated a major interest in designing inhibitors to prevent SARS-CoV-2 binding on host cells to protect against infection. One promising approach to such research utilizes molecular dynamics (MD) to identify potential inhibitors that can prevent the interaction between spike (S) protein on the virus and angiotensin converting enzyme 2 (ACE2) receptor on the host cells. In these studies, many groups have chosen to exclude a zinc (Zn) ion bound to the ACE2 molecule which is critical for enzymatic activity. While the relatively distant location of Zn ion from the S protein binding site (S1 domain), combined with the difficulties in modeling this ion have motivated the decision of exclusion, Zn can potentially contribute to the structural stability of the entire protein, and thus, may have implications on spike protein interaction. In this study, we explored the effects of excluding Zn on the structural stability and binding free energy of the ACE2-S1 protein complex. We generated two versions of an experimentally-derived structure of the ACE2-S1 protein complex: one with Zn and one without. Examining the differences between these two complexes during MD simulation, we found that the Zn-bound complex exhibited greater instability at nearly all residues except for the interacting residues, which were more stable in the Zn-bound complex. Additionally, the Zn-bound complex had a stronger binding free energy at all internal dielectric constants greater than one. Since binding free energy is often used to score inhibitors performances, excluding Zn could potentially have implications on inhibitor selection and performance, both in the ACE2-S1 protein system and other protein complexes that include the Zn ion.

biophysics↗

Molecular Investigations of Selected Spike Protein Mutations in SARS-CoV-2: Delta and Omicron Variants and Omicron BA.2 Sub Variant

Among the multiple SARS-CoV-2 variants recently reported, the Delta variant has generated most perilous and widespread effects. Another variant, Omicron, has been identified specifically for its high transmissibility. Omicron contains numerous spike (S) protein mutations and in numbers much larger than those of its predecessor variants. In this report we discuss some essential structural aspects and time-based structure changes of a selected set of spike protein mutations within the Delta and Omicron variants. The expected impact of multiple-point mutations within the spike proteins receptor-binding domain (RBD) and S1 of these variants are examined. Additionally, RBD of the more recently emerged subvariants BA.4, BA.5 and BA.2.12.1 are discussed. Within the latter group, BA.5 represents globally, the most prevalent form of SARS-CoV-2 at the present time. Temporal mutation profile for the subvariant BF.7 and currently circulating variants of interest (VOI) and variants under monitoring (VUMs) including XBB.1.5, BQ.1, BA.2.75, CH.1.1, XBB and XBF are computationally explored here briefly with the expectation that these structural data will be helpful to identify drug targets and to neutralize antibodies for the evolving variants/subvariants of SARS-CoV-2.

biochemistry↗

Ferric reductase-related proteins mediate fungal heme acquisition

Heme can serve as iron source in many environments, including the iron-poor animal host environment. The fungal pathobiont Candida albicans expresses a family of extracellular CFEM hemophores that capture heme from host proteins and transfer it across the cell wall to the cell membrane, to be endocytosed and utilized as heme or iron source. Here we identified Frp1 and Frp2, two ferric reductase (FRE)-related proteins that lack an extracellular N-terminal substrate-binding domain, as being required for hemoglobin heme utilization and for sensitivity to toxic heme analogs. Frp1/2 redistribute from the ER to the plasma membrane in the presence of hemoglobin, consistent with a direct role in heme trafficking. Expression of Frp1 with the CFEM hemophore Pga7 can promote heme utilization in Saccharomyces cerevisiae as well, confirming the functional interaction between these proteins. Sequence and structure comparison reveals that the CFEM hemophores are related to the FRE substrate-binding domain that is missing in Frp1/2. We conclude that Frp1/2 and the CFEM hemophores form a functional complex that evolved from ferric reductases to enable extracellular heme uptake.

microbiology↗

Spatiotemporal patterning enabled by gene regulatory networks

Spatiotemporal pattern formation plays a key role in various biological phenomena including embryogenesis and neural network formation. Though the reaction-diffusion systems enabling pattern formation have been studied phenomenonlogically, the biomolecular mechanisms behind these processes has not been modelled in detail. Here, we study the emergence of spatiotemporal patterns due to simple synthetic commonly observed two- and three-node gene regulatory network motifs coupled with their molecular diffusion in one- and two-dimensional space. We investigate the patterns formed due to the coupling of inherent multistable and oscillatory behavior of toggle switch (two mutually repressing nodes), toggle switch with double self-activation, toggle triad (three mutually repressing nodes) and repressilator (three nodes repressing the other sequentially in a cyclic manner) with the effect of spatial diffusion of these molecules. We probe various parameter regimes corresponding to different regions of stability (monostable, multistable, oscillatory) and assess the impact of varying diffusion coefficients too. This analysis offers valuable insights into the design principles of pattern formation facilitated by these network motifs, and suggest mechanistic underpinnings of biological pattern formation.

biophysics↗

Lattice-based microenvironmental uncertainty driven phenotypic decision-making: a comparison with Notch-Delta-Jagged signaling

Phenotypic decision-making is a process of determining important phenotypes in accordance with the available microenvironmental information. Although phenotypic decision at the level of a single cell has been precisely studied, but the knowledge is still imperceptible at the multicellular level. How cells sense their environment and adapt? How single cells change their phenotype in a multicellular complex environment (without knowing the interactions among the cells), is still a rheotorical question. To unravel the fragmental story of multicellular decision-making, Least microEnvironmental Uncertainty Principle (LEUP) was refined and applied in this context. To address this set of questions, we use variational principle to grasp the role of sensitivity, build a LEUP driven agent-based model on a lattice which solely hinges on microenvironmental information and investigate the parallels in a well-known biological system, viz., Notch-Delta-Jagged signaling pathway. The analyses of this model led us to interesting spatiotemporal patterns in a population of cells, responsive to the sensitivity parameter and the radius of interaction. This resembles the tissue-level pattern of a population of cells interacting via Notch-Delta-Jagged signaling pathway in some parameter regimes.

biophysics↗

Structures of core eukaryotic protein complexes

Protein-protein interactions play critical roles in biology, but despite decades of effort, the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions that have not yet been identified. Here, we take advantage of recent advances in proteome-wide amino acid coevolution analysis and deep-learning-based structure modeling to systematically identify and build accurate models of core eukaryotic protein complexes, as represented within the Saccharomyces cerevisiae proteome. We use a combination of RoseTTAFold and AlphaFold to screen through paired multiple sequence alignments for 8.3 million pairs of S. cerevisiae proteins and build models for strongly predicted protein assemblies with two to five components. Comparison to existing interaction and structural data suggests that these predictions are likely to be quite accurate. We provide structure models spanning almost all key processes in Eukaryotic cells for 104 protein assemblies which have not been previously identified, and 608 which have not been structurally characterized. One-sentence summaryWe take advantage of recent advances in proteome-wide amino acid coevolution analysis and deep-learning-based structure modeling to systematically identify and build accurate models of core eukaryotic protein complexes.

biochemistry↗

Comparative Structural Analyses of Selected Spike Protein-RBD Mutations in SARS-CoV-2 Lineages

The severity of the covid 19 has been observed throughout the world as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had spread globally claiming more than 2 million lives and left a devastating impact on peoples life. Recently several virulent mutant strains of this virus, such as the B.1.1.7, B.1.351, and P1 lineages have emerged. These strains are predominantly observed in UK, South Africa and Brazil. Another extremely pathogenic B.1.617 lineage and its sub-lineages, first detected in India, are now affecting some countries at notably stronger spread-rates. This paper computationally examines the time-based structures of B.1.1.7, B.1.351, P1 lineages with selected spike protein mutations. Additionally, the mutations in the more recently found B.1.617 lineage and some of its sub-lineages are explored, and the implications for multiple point mutations of the spike proteins receptor-binding domain (RBD) are described.

biochemistry↗

Modeling Substrate Coordination to Zn-Bound Angiotensin Converting Enzyme 2

The spike protein in the envelope of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) interacts with the receptor Angiotensin Converting Enzyme 2 (ACE2) on the host cell to facilitate the viral uptake. Angiotensin II (Ang II) peptide, which has a naturally high affinity for ACE2, may be useful in inhibiting this interaction. In this study, we computationally designed several Ang II mutants to find a strong binding sequence to ACE2 receptor and examined the role of ligand substitution in the docking of native as well as mutant Ang II to the ACE2 receptor. The peptide in the ACE2-peptide complex was coordinated to zinc in the ACE2 cleft. Exploratory molecular dynamics (MD) simulations were used to measure the time-based stability of the native and mutant peptides and their receptor complexes. The MD-generated root-mean-square deviation (RMSD) values are mostly similar between the native and seven mutant peptides considered in this work, although the values for free peptides demonstrated higher variation, and often were higher in amplitude than peptides associated with the ACE2 complex. An observed lack of a strong secondary structure in the short peptides is attributed to the latters greater flexibility and movement. The strongest binding energies within the ACE2-peptide complexes were observed in the native Ang II and only one of its mutant variants, suggesting ACE2 cleft is designed to provide optimal binding to the native sequence. An examination of the S1 binding site on ACE2 suggests that complex formation alone with these peptides may not be sufficient to allosterically inhibit the binding of SARS-CoV-2 spike proteins. However, it opens up the potential for utilizing AngII-ACE2 binding in the future design of molecular and supramolecular structures to prevent spike protein interaction with the receptor through creation of steric hindrance.

biophysics↗

Rad51 paralog complex Rad55-Rad57 acts as a molecular chaperone during homologous recombination

Homologous recombination (HR) is essential for the maintenance of genome integrity. Rad51 paralogs fulfill a conserved, but undefined role in HR, and their mutations are associated with increased cancer risk in humans. Here, we use single-molecule imaging to reveal that the Saccharomyces cerevisiae Rad51 paralog complex Rad55-Rad57 promotes the assembly of Rad51 recombinase filaments through transient interactions, providing evidence that it acts as a classical molecular chaperone. Srs2 is an ATP-dependent anti-recombinase that downregulates HR by actively dismantling Rad51 filaments. Contrary to the current model, we find that Rad55- Rad57 does not physically block the movement of Srs2. Instead, Rad55-Rad57 promotes rapid re- assembly of Rad51 filaments after their disruption by Srs2. Our findings support a model in which Rad51 is in flux between free and ssDNA-bound states, the rate of which is dynamically controlled though the opposing actions of Rad55-Rad57 and Srs2.

biophysics↗