Biology subjects

Wade, R. C.

Publications and source records attributed to Wade, R. C..

At least 19 recordsLinked to original sources

bioRxiv2026

On the determinants of residence times and dissociation mechanisms of complexes of interleukin-13 with its low and high affinity receptors

Interleukin-13 (IL-13) is an immunomodulatory cell signaling cytokine that has been implicated in neurodegenerative disease and chronic inflammation. IL-13 binds to its low and high affinity receptors, IL-13 receptor 1 (IL-13R1) and IL-13 receptor 2 (IL-13R2), respectively, with residence times that vary accordingly. As the binding kinetics of the cytokine-receptor complexes influence cellular responses, we employed the molecular dynamics (MD) simulation-based{tau} -random acceleration molecular dynamics method ({tau}RAMD) to compute relative residence times for wild-type (WT) IL-13 and 19 IL-13 mutants to the two receptors. Comparison with experimental kinetic data shows that the{tau} RAMD computations capture the trends in residence times. Analysis of simulated dissociation trajectories of the cytokine-receptor complexes reveals two distinct dissociation pathways of IL-13 from each of the receptors. This study thus pinpoints key determinants of the interaction of IL-13 with its receptors which could be targeted for therapeutic design. Statement of SignificanceCytokines are regulatory proteins that bind to cell surface receptors and thereby send signals to the cellular interior. Interleukin-13 (IL-13) is a cytokine that has a low and a high affinity receptor. It has important physiological roles, and its deregulation is involved in diseases such as atopic dermatitis and asthma. We employed a molecular dynamics simulation-based method to compute the effects of changes in the sequence of IL-13 on the lifetimes of complexes of IL-13 and its receptors. Comparison with experiments supports the validity of the computational approach and analysis of the simulations reveals two distinct ways in which IL-13 dissociates from each receptor. These results thus provide a map for targeting IL-13 - receptor interactions for the design of therapeutics.

biophysics↗

bioRxiv2025

Glycosylation-Modulated Conformational Diversity in Neurotrophin Receptors

Glycosylation is a widespread modification of cell-surface receptors, yet its structural impact is often overlooked due to the difficulty of experimentally characterizing glycans. Glycosylation of neurotrophin receptors has been reported to affect their localization and function. To investigate the effects of glycosylation of the extracellular domains (ECDs) of p75, TrkA, and TrkB neurotrophin receptors, we modeled their ECDs in glycosylated and non-glycosylated states and carried out molecular dynamics simulations of monomeric and dimeric forms of the ECDs with and without a neurotrophin bound. The single N-glycan on the p75 ECD provided minimal shielding and had limited interaction with the neurotrophin, although glycan-glycan contacts between the two p75 monomers may influence the stability of the receptor-neurotrophin complex. In contrast, TrkA and TrkB carry multiple N-glycans that shield the ECDs much more and, particularly for TrkB, increase the contact area between the receptor and the neurotrophin. The p75 ECD was comparatively rigid, independent of glycosylation state, likely due to its extensive network of disulfide bonds. In contrast, without glycans, the TrkA and TrkB ECDs tended to collapse inwards, sometimes obstructing the neurotrophin binding site. Glycosylation of TrkA and TrkB prevented bending of the ECD into more compact states, and instead promoted extended conformations that better accommodate neurotrophin binding. Overall, the simulations reveal distinct, receptor-specific roles of glycosylation in modulating neurotrophin receptor shielding, flexibility, and conformation, with effects on neurotrophin binding. Statement of significanceNeurotrophins are proteins that promote neuronal survival. Their binding to the extracellular domains of transmembrane receptors leads to signal transduction intracellularly. Glycosylation of some neurotrophin receptors has been reported to affect their localization and function but the mechanism is unclear. We investigate the effects of glycosylation on the structure, dynamics and binding properties of the extracellular domains of three neurotrophin receptors by molecular dynamics simulation. We identify distinct receptor-specific effects of glycosylation. In particular, we find that glycosylation of tyrosine receptor kinases prevents concealment of the neurotrophin binding site due to receptor dynamics and favors a more extended receptor conformation, thereby supporting neutrophin binding and the associated signal transduction.

biophysics↗

bioRxiv2025

K5 polysaccharides inhibit SARS-CoV-2 infection by preventing spike-proteolytic priming

SARS-CoV-2 spike glycoprotein is a promising drug target due to its crucial role in viral infection. Heparin, a long linear polysaccharide that inhibits SARS-CoV-2 infection by acting on spike, has limited antiviral applications due to its anticoagulant effect. E. coli K5 polysaccharides share the same structure as the heparin precursor and can be chemically modified to devoid anticoagulant activity. Here, biochemical assays and computer simulations reveal that K5 with a high degree of sulfation at O-(K5OSH) or N- and O-positions (K5NOSH) bind spike with higher affinity than heparin, preventing its binding to ACE2 and cleavage by furin. This mechanism is supported by a cell syncytia assay showing that K5OSH and K5NOSH inhibit viral infection by blocking membrane fusion. Infection assays for SARS-CoV-2 Wuhan-Hu-1 and Omicron BA.1 variants corroborate their antiviral activity. These results support the therapeutic potential of K5OSH and K5NOSH against SARS-CoV-2, with K5OSH displaying the more promising activity profile.

biochemistry↗

bioRxiv2024

Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning

The design of proteins capable to effectively bind to specific protein targets is crucial for developing therapies, diagnostics, and vaccine candidates for viral infections. Here, we introduce a complementarity-determining regions (CDRs)-grafting approach for designing nanobodies (Nbs) that target specific epitopes, with the aid of computer simulation and machine learning. As a proof-of-concept, we designed, evaluated, and characterized a high-affinity Nb against the spike protein of SARS-CoV-2, the causative agent of the COVID-19 pandemic. The designed Nb, referred to as Nb Ab.2, was synthesized and displayed high-affinity for both the purified receptor-binding domain protein and to the virus-like particle, demonstrating affinities of 9 nM and 60 nM, respectively, as measured with microscale thermophoresis. Circular dichroism showed the designed proteins structural integrity and its proper folding, whereas molecular dynamics simulations provided insights into the internal dynamics of Nb Ab.2. This study shows that our computational pipeline can be used to efficiently design high affinity Nbs with diagnostic and prophylactic potential, which can be tailored to tackle different viral targets. Author summaryIn this study, we present a pipeline for designing a high-affinity nanobody (Nb) targeting the SARS-CoV-2 spike protein using enhanced sampling molecular dynamics simulations and CDR-grafting. To address the challenges of CDR grafting in Nbs, including the need for structural similarity between the CDR motif of interest and the scaffold region, we utilized the Nb scaffold cAbBCII10, known for its versatility in accommodating various CDRs. We generated a library based on the cAbBCII10 framework with diverse, unrelated CDRs and applied machine learning to identify the most promising candidates. Our approach enabled successful engineering of a Nb that binds to the SARS-CoV-2 spike protein with high affinity, demonstrating the effectiveness of our design pipeline for potential therapeutic applications.

biophysics↗

bioRxiv2024

Simulation of neurotrophin receptor transmembrane helix interactions reveals active states and distinct signaling mechanisms

Neurotrophin (NT) receptor signaling regulates neuronal survival, axonal and dendritic network maintenance, differentiation, and synaptic plasticity. Signaling is initiated by NT binding to the extracellular domain of NT receptor dimers, leading to activation of the receptor and signal propagation intracellularly. How this activating signal is mediated by the single-pass transmembrane (TM) helical domain of the receptor, and what the relation between domain sequence and signaling mechanism is, remains unclear. The structure and dynamics of the TM domain of the receptor dimers in the active and inactive states for intracellular signaling are still elusive, with NMR structures capturing only a single state. Here, we carried out unbiased and enhanced sampling molecular dynamics simulations of the TM domain dimers of the wild-type p75, TrkA and TrkB NT receptors and selected mutants in micelle and bilayer lipid environments at atomistic and coarse-grained levels of representation. The coarse-grained simulations enabled exploration of multiple states of the TM domain dimers and revealed the influence of the lipid environment on the TM helix arrangements. From the simulations, we identify active and inactive TM helix arrangements of the p75 and TrkA receptors that are supported by experimental data and suggest two different signaling mechanisms through the C-terminal regions of the TM helices. For TrkB, a single dominant but less energetically stable arrangement of the TM domain dimer is observed. These findings have implications for mechanistic studies of NT receptor signaling and the design of neuroprotective drugs to stabilize specific states of the TM domain of the receptors. Significance StatementNeurotrophins regulate neuronal survival, growth and differentiation during development, and play a role in many neurodegenerative and psychiatric disorders. They initiate signaling through the cell membrane by associating extracellularly with transmembrane receptors. The transmembrane helical domain of the neurotrophin receptors is responsible for transmitting the activation signal to the cell interior. However, how the transmembrane domain mediates signal transmission and the relation between its sequence and signaling mechanism remain unclear. Here, by employing state-of-the-art molecular dynamics simulation techniques, we identify active and inactive states of the transmembrane domains of the three main neurotrophin receptors that support distinct transmembrane signaling mechanisms for these receptors. Our results have implications for mechanistic studies of neurotrophin signaling and the design of neuroprotective drugs.

molecular biology↗

bioRxiv2024

Somatic hypermutation-mediated paratope flexibility improves the cross-reactivity of human malaria antibodies

The protective capacity of antibodies targeting circumsporozoite protein on sporozoites of the malaria parasite Plasmodium falciparum (PfCSP) is linked to high affinity and cross-reactivity with the PfCSP central repeat domain and N-terminal junction. However, the role of somatic hypermutation (SHM) in the development of such antibodies remains unclear. Here we define the contributions of SHM to the high affinity and strong repeat and N-junction cross-reactivity of the potent anti-PfCSP monoclonal antibody (mAb) 4493 and of similar antibodies with shared SHM and affinity maturation trajectories. Molecular dynamics simulations reveal that SHM reduces the flexibility of the unbound mAb 4493 but increases the flexibility of the antigen-bound complex, thereby lowering the entropic cost for antigen binding. Furthermore, we identify an inverse relation between antibody affinity and serum stability, which limits the protective capacity of these antibodies. Our study provides molecular level evidence for the different roles that the SHM process plays in increasing VH3-49+V{kappa}3-20 antibody affinity and cross-reactivity and demonstrates how antibody affinity maturation can negatively impact antibody stability and thereby function.

immunology↗

bioRxiv2024

Multiresolution molecular dynamics simulations reveal the interplay between conformational variability and functional interactions in membrane-bound cytochrome 2B4

Cytochrome P450 2B4 (CYP 2B4) is one of the best characterized CYPs and serves as a key model system for understanding the mechanisms of microsomal class II CYPs, which metabolize most known drugs. The highly flexible nature of CYP 2B4 is apparent from crystal structures that show the active site with either a wide open or a closed heme binding cavity. Here, we investigated the conformational ensemble of the full-length CYP 2B4 in a phospholipid bilayer, using multiresolution molecular dynamics (MD) simulations. Coarse-grained MD simulations revealed two predominant orientations of CYP 2B4s globular domain with respect to the bilayer. Their refinement by atomistic resolution MD showed adaptation of the enzymes interaction with the lipid bilayer, leading to open configurations that facilitate ligand access to the heme binding cavity. CAVER analysis of enzyme tunnels, AquaDuct analysis of water routes, and Random Acceleration Molecular Dynamics simulations of ligand dissociation support the conformation-dependent passage of molecules between the active site and the protein surroundings. Furthermore, simulation of the re-entry of the inhibitor bifonazole into the open conformation of CYP 2B4 resulted in binding at a transient hydrophobic pocket within the active site cavity that may play a role in substrate binding or allosteric regulation. Together, these results show how the open conformation of CYP 2B4 facilitates binding of substrates from and release of products to the membrane, whereas the closed conformation prolongs the residence time of substrates or inhibitors and selectively allows the passage of smaller reactants via the solvent and water channels. ImpactOur findings from multiresolution molecular dynamics simulations elucidate the structural dynamics of the membrane-bound CYP 2B4 enzyme and how these affect substrate recognition and processing, as well as inhibitor binding. As CYP 2B4 is a representative of the class of cytochrome P450 enzymes that metabolize most known drugs, the insights from this study are pertinent to the prediction of drug metabolism and the design of CYP inhibitors as therapeutics.

biochemistry↗

bioRxiv2024

Computational screening of the effects of mutations on protein-protein off-rates and dissociation mechanisms by {tau}RAMD

The dissociation rate, or its reciprocal, the residence time ({tau}), is a crucial parameter for understanding the duration and biological impact of biomolecular interactions. Accurate prediction of {tau} is essential for understanding protein-protein interactions (PPIs) and identifying potential drug targets or modulators for tackling diseases. Conventional molecular dynamics simulation techniques are inherently constrained by their limited timescales, making it challenging to estimate residence times, which typically range from minutes to hours. Building upon its successful application in protein-small molecule systems, {tau}-Random Acceleration Molecular Dynamics ({tau}RAMD) is here investigated for estimating dissociation rates of protein-protein complexes. {tau}RAMD enables the observation of unbinding events on the nanosecond timescale, facilitating rapid and efficient computation of relative residence times. We tested this methodology for three protein-protein complexes and their extensive mutant datasets, achieving good agreement between computed and experimental data. By combining {tau}RAMD with MD-IFP (Interaction Fingerprint) analysis, dissociation mechanisms were characterized and their sensitivity to mutations investigated, enabling the identification of molecular hotspots for selective modulation of dissociation kinetics. In conclusion, our findings underscore the versatility of {tau}RAMD as a simple and computationally efficient approach for computing relative protein-protein dissociation rates and investigating dissociation mechanisms, thereby aiding the design of PPI modulators.

bioinformatics↗

bioRxiv2024

The accomplices: Heparan sulfates and N-glycans foster SARS-CoV-2 spike:ACE2 receptor binding and virus priming

Although it is well established that the SARS-CoV-2 spike glycoprotein binds to the host cell ACE2 receptor to initiate infection, far less is known about the tissue tropism and host cell susceptibility to the virus. Differential expression across different cell types of heparan sulfate (HS) proteoglycans, with variably sulfated glycosaminoglycans (GAGs), and their synergistic interactions with host and viral N-glycans may contribute to tissue tropism and host cell susceptibility. Nevertheless, their contribution remains unclear since HS and N-glycans evade experimental characterization. We, therefore, carried out microsecond-long all-atom molecular dynamics simulations, followed by random acceleration molecular dynamics simulations, of the fully glycosylated spike:ACE2 complex with and without highly sulfated GAG chains bound. By considering the model GAGs as surrogates for the highly sulfated HS expressed in lung cells, we identified key novel cell entry mechanisms of spike SARS-CoV-2. We find that HS promotes structural and energetic stabilization of the active conformation of the spike receptor binding domain (RBD) and reorientation of ACE2 toward the N-terminal domain in the same spike subunit as the RBD. Spike and ACE2 N-glycans exert synergistic effects, promoting better packing, strengthening the protein:protein interaction, and prolonging the residence time of the complex. ACE2 and HS binding trigger rearrangement of the S2 functional protease cleavage site through allosteric interdomain communication. These results thus show that HS has a multifaceted role in facilitating SARS-CoV-2 infection and they provide a mechanistic basis for the development of novel GAG derivatives with anti-SARS-CoV-2 potential. Significance StatementA key to blocking SARS-CoV-2 infection is to understand why it infects some cell types more than others. Heparan sulfate (HS) proteoglycans are differentially expressed on the surface of host cells and, with ACE2 receptors, provide an entry route for SARS-CoV-2. Here, we used computer simulations to investigate how highly sulfated glycosaminoglycans, a model for HS expressed in lungs, impact the interaction between virus spike and host ACE2. The simulations indicate that HS, together with host and spike N-glycans, stabilizes the spike:ACE2 complex and triggers structural changes, including host protease cleavage, contributing to the SARS-CoV-2 infection mechanism. This study lays the basis for a better understanding of the cell-specificity of SARS-CoV-2 infection and for developing strategies for inhibiting SARS-CoV-2 infection.

biophysics↗

bioRxiv2023

Comprehensive characterization of the neurogenic and neuroprotective action of a novel TrkB agonist using mouse and human stem cell models of Alzheimer's Disease

Neural stem cell (NSC) proliferation and differentiation in the mammalian brain decreases to minimal levels postnatally. Nevertheless, neurogenic niches persist in the adult cortex and hippocampus in rodents, primates and humans, with adult NSC differentiation sharing key regulatory mechanisms with development. Adult neurogenesis impairments have been linked to Alzheimers Disease (AD) pathology. Addressing these impairments is a promising new avenue for therapeutic intervention based on neurogenesis. However, this possibility has been hindered by technical difficulties of using in-vivo models to conduct screens, including working with scarce NSCs in the adult brain and differences between human and mouse models or ethical limitations. In our study, we use a combination of mouse and human stem cell models to circumvent these issues and perform comprehensive characterization of a novel neurogenic compound using in vitro screening. Our work focuses on the brain-derived neurotrophic factor (BDNF) pathway, a pivotal neurotrophin in the regulation of neuronal growth and differentiation via its receptor tyrosine receptor kinase B (TrkB). We describe the design, chemical synthesis and biological characterization of ENT-A011, a steroidal dehydroepiandrosterone (DHEA) derivative and BDNF mimetic with neuroprotective and neurogenic actions. The compound is able to increase proliferation of mouse primary adult hippocampal NSCs and embryonic cortical NSCs, in the absence of EGF/FGF, while reducing Amyloid-{beta} (A{beta}) induced cell death, acting specifically through TrkB activation. The compound is also able to increase astrocytic gene markers involved in NSC maintenance, protect hippocampal neurons from A{beta} toxicity and prevent synapse loss after A{beta} treatment. To provide a translational link to human cells, we also used neural progenitor cells (NPCs) differentiated from three human induced pluripotent stem cell lines from healthy and AD donors. Our findings suggest that ENT-A011 successfully induces proliferation and prevents cell death after A{beta} toxicity of human NPCs. Additionally, using RNAseq profiling, we demonstrate that the compound acts through a core gene network shared with BDNF. Our work characterizes a novel synthetic BDNF mimetic with potential neurogenic and neuroprotective actions in Alzheimers disease via stem cell-based screening, demonstrating the promise of stem cell systems for short-listing competitive candidates for further testing.

pharmacology and toxicology↗

bioRxiv2023

S100A1ct: a synthetic peptide derived from human S100A1 protein improves cardiac contractile performance and survival in pre-clinical heart failure models

BackgroundThe EF-hand Ca2+ sensor protein S100A1 has been identified as a molecular regulator and enhancer of cardiac performance. S100A1s ability to recognize and modulate the activity of targets such as SERCA2a and RyR2 in cardiomyocytes has mostly been ascribed to its hydrophobic C-terminal -helix (residues 75-94). Objective: We therefore hypothesized that a synthetic peptide consisting of residues 75-94 of S100A1 and an N-terminal solubilization tag (S100A1ct) could mimic the performance enhancing effects of S100A1 and may be suitable as a peptide therapeutic to improve the function of diseased hearts. Methods and Results: Applying an integrative translational research pipeline, ranging from computational molecular modeling to large animal cardiac disease models, we characterize S100A1ct as a cell-penetrating peptide with positive inotropic and antiarrhythmic properties in normal and failing myocardium in vitro and in vivo. This activity translates into improved contractile performance and survival in pre-clinical heart failure models with reduced ejection fraction after S100A1ct systemic administration. Mechanistically, S100A1ct exerts a fast and sustained dose-dependent enhancement of cardiomyocyte Ca2+ cycling and prevents {beta}-adrenergic receptor triggered Ca2+ imbalances by targeting SERCA2a and RyR2 activity. Modeling suggests that S100A1ct may stimulate SERCA2a by interacting with the sarcoplasmic transmembrane segments of the multi-span integral membrane Ca2+ pump. Incorporation of a cardiomyocyte targeting peptide tag into S100A1ct (cor-S100A1ct) further enhanced its biological and therapeutic potency in vitro and in vivo. Conclusion: S100A1ct peptide is a promising lead for the development of a novel peptide-based therapeutic against heart failure with reduced ejection fraction.

pharmacology and toxicology↗

bioRxiv2023

SUMO interacting motif (SIM) of S100A1 is critical for S100A1 post-translational protein stability

S100A1 is a small EF-type Ca2+ sensor protein that belongs to the multigenic S100 protein family. It is abundantly expressed in cardiomyocytes (CMs) and has been described as a key regulator of CM performance due to its unique ability to interact with structural contractile proteins, regulators of cardiac Ca2+ cycling, and mitochondrial proteins. However, our understanding of the molecular mechanisms regulating S100A1 protein levels is limited. We used the bioinformatics tool GPS-SUMO2.0 to identify a putative SUMO interacting motif (SIM) on S100A1. Consistently, a S100A1:SUMO interaction assay showed a Ca2+-dependent interaction of S100A1 with SUMO proteins. In neonatal rat ventricular myocytes (NRVM) and COS1 cells, S100A1 protein abundance increased in the presence of overexpressed SUMO1 without affecting the S100A1 mRNA transcript. We then generated S100A1 truncation mutants, where the SIM motif was removed by truncation or in which the core residues of the SIM motif (residues 77-79) were deleted or replaced by alanine. In COS1 cells and NRVM, overexpression of these S100A1 mutants led to elevated S100A1 mutant mRNA levels but failed to produce respective protein levels. Protein expression of these mutants could be rescued from degradation by addition of the proteasome inhibitor MG-132. By using an information-driven approach to dock the three-dimensional structures of S100A1 and SUMO, we predict a novel interaction mode between the SIM in S100A1 and SUMO. This study shows an important role of SUMO:SIM-mediated protein:protein interaction in the regulation of post-translational protein stability, and provides mechanistic insights into the indispensability of the core SIM for S100A1 post-translational stability.

biochemistry↗

bioRxiv2022

Scaling protein-water interactions in the Martini 3 coarse-grained force field to simulate transmembrane helix dimers in different lipid environments

Martini 3, the latest version of the widely used Martini force field for coarse-grained molecular dynamics simulations, is a promising tool to investigate proteins in phospholipid bilayers. However, simulating other lipid environments, such as detergent micelles, presents challenges due to the absence of validated parameters for their constituent molecules. Here, we propose parameters for the micelle-forming surfactant, dodecylphosphocholine (DPC). These result in micelle assembly with aggregation numbers in agreement with experimental values. However, we identified a lack of hydrophobic interactions between transmembrane helix protein dimers and the tails of DPC molecules, preventing insertion and stabilization of the protein in the micelles. This problem was also observed for protein insertion by self-assembling 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) or dipalmitoylphosphatidylcholine (DPPC) bilayers. We propose the reduction of the non-bonded interactions between protein and water beads by 10% as a simple and effective solution to this problem that enables protein encapsulation in phospholipid micelles and bilayers without altering protein dimerization or bilayer structure. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=129 SRC="FIGDIR/small/506752v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@105d651org.highwire.dtl.DTLVardef@398758org.highwire.dtl.DTLVardef@e4c045org.highwire.dtl.DTLVardef@afdc1_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2022

Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance

The propensity of poorly water-soluble drugs to aggregate at supersaturation impedes their bioavailability. The emergence of supersaturated amorphous drug-salt-polymer systems provides a new approach to this problem. However, the effects of polymers on drug-drug interactions in aqueous phase are largely unexplored and it is unclear how to choose an optimal salt-polymer combination for a particular drug. We describe a comparative experimental and computational characterization of amorphous solid dispersions containing the drug celecoxib, and PVP-VA or HPMCAS polymers with or without Na+/K+ salts. Classical models for drug-polymer interactions fail to identify the best drug-salt-polymer combination. In contrast, more stable drug-polymer interaction energies computed from molecular dynamics simulations correlate with prolonged stability of supersaturated amorphous drug-salt-polymer systems, along with better dissolution and pharmacokinetic profiles. The celecoxib-salt-PVP-VA formulations exhibit excellent biopharmaceutical performance, offering the prospect of less frequent administration and lower doses of this widely used anti-inflammatory, thereby increasing cost-effectiveness, and reducing side-effects.

pharmacology and toxicology↗

bioRxiv2021

The effects of protein crowders on small molecule drug diffusion

Crowded environments are known to affect the diffusion of macromolecules but their effects on the diffusion of small molecules, such as drugs, are largely uncharacterized. Here, we investigate how three macromolecular protein crowders, bovine serum albumin (BSA), hen egg-white lysozyme and myoglobin, influence the translational diffusion rates and interactions of four low molecular-weight compounds: the diagnostic marker fluorescein, and three drugs, doxorubicin, glycogen synthase kinase-3 inhibitor SB216763 and quinacrine. Using Fluorescence Recovery After Photo-bleaching in Line mode (Line- FRAP), Brownian dynamics simulations and molecular docking, we find that the diffusive behavior of the small molecules is highly affected by self-aggregation, interactions with the proteins, and surface adhesion. The diffusion of fluorescein is decreased by protein crowders due to its interactions with the proteins and their surface adsorption. In contrast, the presence of protein crowders increases the diffusion rate of doxorubicin by reducing surface interactions. SB216763 shows a third scenario, where BSA, but not lysozyme or myoglobin , reduces self-aggregation, resulting in faster diffusion. Quinacrine was the only compound whose diffusion was not affected by the presence of protein crowders. The mechanistic insights gained here into the effects of interactions of small molecules with proteins and surfaces on the translational diffusion of small molecules can assist in optimizing the design of compounds for higher mobility and lower occlusion in complex macromolecular environments.

biochemistry↗

bioRxiv2021

Effect of A-tract-mediated linker histone orientation on trinucleosome compaction

Linker histones (LH) have been shown to preferentially bind to AT-rich DNA, particularly A-tracts, contiguous stretches of adenines. Using spFRET (single pair Forster/Fluorescence Resonance Energy Transfer), we recently found that the globular domain (gH) of Xenopus laevis H1.0b LH orients towards A-tracts on the linker-DNA (L-DNA) while binding on-dyad in LH:mononucleosome complexes. Here, we investigate the impact of this A-tract-mediated orientation of the gH on the compaction of higher-order structures by studying trinucleosomes as minimal models for chromatin. Two 600 bp DNA sequences were constructed, each containing three consecutive Widom 601 core sequences connected by about 40 bp L-DNA but differing in the positioning of A-tracts on either the outer or the inner L-DNAs flanking the first and third Widom 601 sequences. The two inner L-DNAs were fluorescently labelled at their midpoints. Trinucleosomes were reconstituted using the doubly labelled DNA, core histone octamers and H1.0b. SpFRET was performed for a range of NaCl concentrations to measure the compaction and whether gH orientations affected the stability of the trinucleosomes to salt-induced dissociation. While the LH compacted the trinucleosomes, the extent of compaction and the stability were similar for the two DNA sequences. Modeling constrained by the measured FRET efficiency suggests that the structures adopted by the trinucleosomes correspond to the standard zig-zagged two-helical start arrangement with the first and third nucleosomes stacked on top of each other. In this arrangement, the first and third LHs are insufficiently close to interact and affect compaction. Thus, despite differences in the positioning of the A-tracts in the sequences studied, LH binding compacts the corresponding trinucleosomes similarly. Why it mattersThe compaction and three-dimensional structure of chromatin affect the exposure of the DNA and thus regulate gene expression. Linker histone proteins bind to nucleosomes and thereby contribute to chromatin compaction. We here investigated whether the DNA A-tract-mediated orientation of a linker histone globular domain affects chromatin structure by using a trinucleosome as a minimal model for chromatin. Our observations suggest that the trinucleosome structure and compaction are robust against differences in linker histone globular domain orientations. eTOC blurbWe investigate whether DNA sequences, such as adenine-tracts, and sequence-induced linker histone reorientation affect chromatin structure. Using trinucleosomes as model systems for chromatin, we demonstrate that the chromatin structure and compaction are robust to the studied DNA sequence differences and sequence-induced linker histone orientation.

biophysics↗

bioRxiv2021

A multiscale approach for computing gated ligand binding from molecular dynamics and Brownian dynamics simulations

We develop an approach to characterise the effects of gating by a multi-conformation protein consisting of macrostate conformations that are either accessible or inaccessible to ligand binding. We first construct a Markov state model of the apo-protein from atomistic molecular dynamics simulations from which we identify macrostates and their conformations, compute their relative macrostate populations and interchange kinetics, and structurally characterise them in terms of ligand accessibility. We insert the calculated first-order rate constants for conformational transitions into a multi-state gating theory from which we derive a gating factor{gamma} that quantifies the degree of conformational gating. Applied to HIV-1 protease, our approach yields a kinetic network of three accessible (semi-open, open and wide-open) and two inaccessible (closed and a newly identified, parted) macrostate conformations. The parted conformation sterically partitions the active site, suggesting a possible role in product release. We find that the binding kinetics of drugs and drug-like inhibitors to HIV-1 protease falls in the slow gating regime. However, because{gamma} =0.75, conformational gating only modestly slows ligand binding. Brownian dynamics simulations of the diffusional association of eight inhibitors to the protease - that have a wide range of experimental association constants (~104 - 1010 M-1s-1) - yields gated rate constants in the range ~0.5-5.7 x 108 M-1s-1. This indicates that, whereas the association rate of some inhibitors could be described by the model, for many inhibitors either subsequent conformational transitions or alternate binding mechanisms may be rate-limiting. For systems known to be modulated by conformational gating, the approach could be scaled computationally efficiently to screen association kinetics for a large number of ligands. Graphical TOC Entry O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

biophysics↗

bioRxiv2021

G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from {tau}RAMD Simulations

There is a growing appreciation of the importance of drug-target binding kinetics for lead optimization. For G protein-coupled receptors (GPCRs), which mediate signaling over a wide range of timescales, the drug dissociation rate is often a better predictor of in vivo efficacy than binding affinity, although it is more challenging to compute. Here, we assess the ability of the {tau}-Random Acceleration Molecular Dynamics ({tau}RAMD) approach to reproduce relative residence times and reveal dissociation mechanisms and the effects of allosteric modulation for two important membrane-embedded drug targets: the {beta}2-adrenergic receptor and the muscarinic acetylcholine receptor M2. The dissociation mechanisms observed in the relatively short RAMD simulations (in which molecular dynamics (MD) simulations are performed using an additional force with an adaptively assigned random orientation applied to the ligand) are in general agreement with much more computationally intensive conventional MD and metadynamics simulations. Remarkably, although decreasing the magnitude of the random force generally reduces the number of egress routes observed, the ranking of ligands by dissociation rate is hardly affected and agrees well with experiment. The simulations also reproduce changes in residence time due to allosteric modulation and reveal associated changes in ligand dissociation pathways. TABLE OF CONTENTS GRAPHIC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/449151v2_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@743dcdorg.highwire.dtl.DTLVardef@1857381org.highwire.dtl.DTLVardef@62359aorg.highwire.dtl.DTLVardef@1ad38a3_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗