Biology subjects

Moradi, M.

Publications and source records attributed to Moradi, M..

At least 37 records · Page 2Linked to original sources

bioRxiv2022

Atomic-level characterization of the conformational transition pathways in SARS-CoV-1 and SARS-CoV-2 spike proteins

Severe acute respiratory syndrome (SARS) coronaviruses 1 and 2 (SARS-CoV-1 and SARS-CoV-2) derive transmissibility from spike protein activation in the receptor binding domain (RBD) and binding to the host cell angiotensin converting enzyme 2 (ACE2). However, the mechanistic details that describe the large-scale conformational changes associated with spike protein activation or deactivation are still somewhat unknown. Here, we have employed an extensive set of nonequilibrium all-atom molecular dynamics (MD) simulations, utilizing a novel protocol, for the SARS-CoV-1 (CoV-1) and SARS-CoV-2 (CoV-2) prefusion spike proteins in order to characterize the conformational pathways associated with the active-to-inactive transition. Our results indicate that both CoV-1 and CoV-2 spike proteins undergo conformational transitions along pathways unique to each protein. We have identified a number of key residues that form various inter-domain saltbridges, suggesting a multi-stage conformational change along the pathways. We have also constructed the free energy profiles along the transition pathways for both CoV-1 and CoV-2 spike proteins. The CoV-2 spike protein must overcome larger free energy barriers to undergo conformational changes towards protein activation or deactivation, when compared to CoV-1.

biophysics↗

bioRxiv2022

Deciphering the Inter-domain Decoupling in the Gram-negative Bacterial Membrane Insertase

YidC is a membrane protein that plays an important role in inserting newly generated proteins into lipid membranes. The Sec-dependent complex is responsible for inserting proteins into the lipid bilayer, and this process is facilitated by YidC in bacteria. In addition, YidC acts as a chaperone during the folding process of proteins. Multiple investigations have conclusively shown that the gram-positive bacterial YidC has Sec-independent insertion mechanisms. Through the use of microsecond-level allatom molecular dynamics (MD) simulations, we have carried out the first in-depth investigation of the YidC protein originating from gram-negative bacteria. This research sheds light on the significance of multiple domains of YidC structure at an atomic level by utilizing equilibrium MD simulations. Specifically, in this research, multiple models of YidC embedded in the lipid bilayer were constructed to characterize the critical role of the C2 loop and the periplasmic domain present in gram-negative YidC, which is absent in its gram-positive counterpart. Based on our results, the C2 loop is responsible for the overall stabilization of the protein, most notably in the transmembrane region, and it also has an allosteric influence on the periplasmic domain. We have found critical inter- and intra-domain interactions that contribute to the stability of the protein and its function. Finally, our study provides a hypothetical Sec-independent insertion mechanism for gram-negative bacterial YidC.

biophysics↗

bioRxiv2022

An Investigation of the YidC-Mediated Membrane Insertion of Pf3 Coat Protein Using Molecular Dynamics Simulations

YidC is a membrane protein that facilitates the insertion of newly synthesized proteins into lipid membranes. Through YidC, proteins are inserted into the lipid bilayer via the SecYEG-dependent complex. Additionally, YidC functions as a chaperone in protein folding processes. Several studies have provided evidence of its independent insertion mechanism. However, the mechanistic details of the YidC independent protein insertion mechanism remain elusive at the molecular level. This study elucidates the insertion mechanism of YidC at an atomic level through a combination of equilibrium and non-equilibrium molecular dynamics (MD) simulations. Different docking models of YidC-Pf3 in the lipid bilayer were built in this study to better understand the insertion mechanism. To conduct a complete investigation of the conformational difference between the two docking models developed, we used classical molecular dynamics simulations supplemented with a non-equilibrium technique. Our findings indicate that the YidC transmembrane (TM) groove is essential for this high-affinity interaction and that the hydrophilic nature of the YidC groove plays an important role in protein transport across the cytoplasmic membrane bilayer to the periplasmic side. At different stages of the insertion process, conformational changes in YidCs TM domain and membrane core have a mechanistic effect on the Pf3 coat. Furthermore, during the insertion phase, the hydration and dehydration of the YidCs hydrophilic groove are critical. These demonstrate that Pf3 interactions with the membrane and YidC vary in different conformational states during the insertion process. Finally, this extensive study directly confirms that YidC functions as an independent insertase.

biophysics↗

bioRxiv2022

cpSRP43 is both highly flexible and stable: Structural insights using a combined experimental and computational approach

The novel multidomain protein, cpSRP43, is a unique subunit of the post-translational chloroplast signal recognition particle (cpSRP) targeting pathway in higher plants. The cpSRP pathway is responsible for targeting and insertion of light-harvesting chlorophyll a/b binding proteins (LHCPs) to the thylakoid membrane. Nuclear-encoded LHCPs are synthesized in the cytoplasm then imported into the chloroplast. Upon emergence into the stroma, LHCPs form a soluble transit complex with the cpSRP heterodimer, which is composed of cpSRP43 and cpSRP54, a 54 kDa subunit homologous to the universally conserved GTPase in cytosolic SRP pathways. cpSRP43 is irreplaceable as a chaperone to LHCPs in their translocation to the thylakoid membrane and remarkable in its ability to dissolve aggregates of LHCPs without the need for external energy input. In previous studies, cpSRP43 has demonstrated significant flexibility and interdomain dynamics. However, the high flexibility and structural dynamics of cpSRP43 is yet unexplained by current crystal structures of cpSRP43. This is due, in part, to the fact that free full length cpSRP43 is so flexible that it is unable to crystalize. In this study, we explore the structural stability of cpSRP43 under different conditions using various biophysical techniques and find that this protein is concurrently highly stable and flexible. This conclusion is interesting considering that stable proteins typically possess a non-dynamic structure. Molecular dynamics (MD) simulations which correlated with data from biophysical experimentation were used to explain the basis of the extraordinary stability of cpSRP43. This combination of biophysical data and microsecond-level MD simulations allows us to obtain a detailed perspective of the conformational landscape of these proteins.

biophysics↗

bioRxiv2021

Binding Affinity Estimation From Restrained Umbrella Sampling Simulations

The protein-ligand binding affinity quantifies the binding strength between a protein and its ligand. Computer modeling and simulations can be used to estimate the binding affinity or binding free energy using data- or physics-driven methods or a combination thereof. Here, we discuss a purely physics-based sampling approach based on biased molecular dynamics (MD) simulations, which in spirit is similar to the stratification strategy suggested previously by Woo and Roux. The proposed methodology uses umbrella sampling (US) simulations with additional restraints based on collective variables such as the orientation of the ligand. The novel extension of this strategy presented here uses a simplified and more general scheme that can be easily tailored for any system of interest. We estimate the binding affinity of human fibroblast growth factor 1 (hFGF1) to heparin hexasaccharide based on the available crystal structure of the complex as the initial model and four different variations of the proposed method to compare against the experimentally determined binding affinity obtained from isothermal calorimetry (ITC) experiments. Our results indicate that enhanced sampling methods that sample along the ligand-protein distance without restraining other degrees of freedom do not perform as well as those with additional restraint. In particular, restraining the orientation of the ligands plays a crucial role in reaching a reasonable estimate for binding affinity. The general framework presented here provides a flexible scheme for designing practical binding free energy estimation methods.

biophysics↗

bioRxiv2021

Dynamic remodeling of ribosomes and endoplasmic reticulum in axon terminals of motoneurons

In neurons, endoplasmic reticulum forms a highly dynamic network that enters axons and presynaptic terminals and plays a central role in Ca2+ homeostasis and synapse maintenance. However, the underlying mechanisms involved in regulation of its dynamic remodeling as well as its function in axon development and presynaptic differentiation remain elusive. Here, we used high resolution microscopy and live cell imaging to investigate rapid movements of endoplasmic reticulum and ribosomes in axons of cultured motoneurons after stimulation with Brain-derived neurotrophic factor. Our results indicate that the endoplasmic reticulum extends into axonal growth cone filopodia where its integrity and dynamic remodeling are regulated mainly by actin and its motor protein myosin VI. Additionally, we found that in axonal growth cones, ribosomes assemble into 80S subunits within seconds and associate with ER in response to extracellular stimuli which describes a novel function of axonal ER in dynamic regulation of local translation. Summary statementIn axonal growth cones of motoneurons, dynamic remodeling of ER is coordinated through drebrin A-mediated actin and microtubule crosstalk and contributes to local translation as response to BDNF stimulation.

neuroscience↗

bioRxiv2021

Computational Elucidation of Recombinant Fusion Protein Effect on Peptide-Directed Nanoparticles

Nanoparticles synthesized using various peptides have optimized properties and functional abilities which can be achieved via peptide flexibility and site specificity. Using peptide Pd4 and other alanine substitution combinations of Pd4 attached to a green fluorescent protein (GFPuv), nanoparticles with well-defined sizes that are soluble in aqueous solutions can be produced. In this study, extensive molecular dynamics simulations explored the structural and functional differences between the free peptides and the peptides bound to the GFPuv used in nanoparticle production. Binding affinities of histidines of Pd4 peptide and its two mutants A6 and A11 to a palladium atom were calculated using the free energy perturbation method. Interestingly, the average particle sizes obtained from transmission electron microscopy (TEM) images correlated with our calculated free energies of different peptide sequences. Remarkably, when the peptide was bound to GFPuv, the free energies of histidine were very similar in the wild-type and other mutated peptides. However, this trend is not observed with free peptide simulations, where binding affinities differ by mutation of histidine residues. This study describes, at a molecular level, the role of amino acid sequence on binding affinity of the peptide to the surface of the palladium particles, and the functional ability of the GFPuv protein controlling these free energies irrespective of peptide sequence. Our study will provide a framework for designing free and protein attached peptides that facilitate peptide-mediated nanoparticle formation with well-regulated properties.

bioengineering↗

bioRxiv2021

Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Framework

We have formulated a Riemannian framework for describing the geometry of collective variable spaces of biomolecules within the context of molecular dynamics (MD) simulations. The formalism provides a theoretical framework to develop enhanced sampling techniques, path-finding algorithms, and transition rate estimators consistent with a Riemannian treatment of the collective variable space, where the quantities of interest such as the potential of mean force (PMF) and minimum free energy path (MFEP) remain invariant under coordinate transformation. Specific algorithms within this framework are discussed such as the Riemannian umbrella sampling, the Riemannian string method, and a Riemannian-Bayesian estimator of free energy and diffusion constant, which can be used to estimate the transition rate along an MFEP.

biophysics↗

bioRxiv2021

Simulating freely-diffusing single-molecule FRET data with consideration of protein conformational dynamics

Single-molecule Forster resonance energy transfer experiments have added a great deal to the understanding of conformational states of biologically important molecules. While great progress has been made in studying structural dynamics of biomolecular systems, much is still unknown for systems with conformational heterogeneity particularly those with high flexibility. For instance, with currently available techniques, it is difficult to work with intrinsically disordered proteins, particularly when freely diffusing smFRET experiments are used. Simu-lated smFRET data allows for the control of the underlying process that generates the data to examine if a given smFRET data analysis technique can detect these underlying differences. Here, we include a distribution of inter-dye distances generated using Langevin dynamics to simulated freely-diffusing smFRET timestamp data in order to model proteins with conformational flexibility within a given state. We compare standard analysis techniques for smFRET data to validate the new module relative to the base PyBroMo software and observe qualitative agreement in the results of standard analysis for the two timestamp generation methods. The Langevin dynamics module provides a framework for generating timestamp data with a known underlying heterogeneity of inter-dye distances that will be necessary for the development of new analysis techniques that study flexible proteins or other biomolecular systems.

biophysics↗

bioRxiv2020

Differential Dynamic Behavior of Prefusion Spike Proteins of SARS Coronaviruses 1 and 2

The coronavirus spike protein, which binds to the same human receptor in both SARS-CoV-1 and 2, has been implied to be a potential source of their differential transmissibility. However, the mechanistic details of spike protein binding to its human receptor remain elusive at the molecular level. Here, we have used an extensive set of unbiased and biased microsecond-level all-atom molecular dynamics (MD) simulations of SARS-CoV-1 and 2 spike proteins to determine the differential dynamic behavior of prefusion spike protein structure in the two viruses. Our results indicate that the active form of the SARS-CoV-2 spike protein is more stable than that of SARS-CoV-1 and the energy barrier associated with the activation is higher in SARS-CoV-2. Our results also suggest that not only the receptor binding domain (RBD) but also other domains such as the N-terminal domain (NTD) could play a role in the differential binding behavior of SARS-CoV-1 and 2 spike proteins.

biophysics↗

bioRxiv2020

Mechanistic picture for chemo-mechanical couplings in a bacterial proton-coupled oligopeptide transporter from Streptococcus thermophilus

Proton-coupled oligopeptide transporters (POTs) use the proton electrochemical gradient to transport peptides across the cell membrane. Despite the significant biological and biomedical relevance of these proteins, a detailed mechanistic picture for chemo-mechanical couplings involved in substrate/proton transport and protein structural changes is missing. We therefore performed microsecond-level molecular dynamics (MD) simulations of bacterial POT transporter PepTSt, which shares ~80% sequence identity with the human POT, PepT1, in the substrate binding region. Three different conformational states of PepTSt were simulated including, (i) occluded, apo, (ii) inward-facing, apo, and (iii) inward-facingoccluded, Leu-Ala bound. We propose that the interaction of R33 with E299 and E300 acts as a conformational switch (i.e., to trigger the conformational change from an inward-to outward-facing state) in the substrate transport. Additionally, E299 and E400 should disengage from interacting with the substrate either through protonation or through co-ordination with a cation for the substrate to get transported.

biophysics↗

bioRxiv2020

Mechanistic Picture for Monomeric Human Fibroblast Growth Factor 1 Stabilization by Heparin Binding

Human fibroblast growth factor (FGF) 1 or hFGF1 is a member of the FGF family that is involved in various vital processes such as cell proliferation, cell differentiation, angiogenesis and wound healing. hFGF1, which is associated with low stability in vivo, is known to be stabilized by binding heparin sulfate, a glycosaminoglycan that aids the protein in the activation of its cell surface receptor. The poor thermal and proteolytic stability of hFGF1 and the stabilizing role of heparin have long been observed experimentally; however, the mechanistic details of these phenomena are not well understood. Here, we have used a combination of microsecond-level equilibrium molecular dynamics (MD) simulations, and state-of-the-art enhanced sampling MD simulations to quantitatively characterize the structural dynamics of monomeric hFGF1 in the presence and absence of heparin hexasaccharide. We have observed a conformational change in the heparin-binding pocket of hFGF1 that occurs only in the absence of heparin. Several intramolecular hydrogen bonds were also identified within the heparin-binding pocket, that form only when hFGF1 interacts with heparin. The loss of both intermolecular and intramolecular electrostatic interactions in the absence of heparin plausibly leads to the observed conformational change. This conformational transition results in increased flexibility of the heparin-binding pocket and provides an explanation for the susceptibility of apo hFGF1 to proteolytic degradation and thermal instability. The hFGF1-heparin interaction has also been quantified using absolute binding free energy calculations. Binding affinity (Kd) estimates determined computationally using our novel MD approach are in good quantitative agreement with experimental Kd values from isothermal titration calorimetry experiments. The successful application of a combination of microsecond-level MD and accurate free energy calculations to explain the heparin-mediated stabilization of hFGF1 at a quantitative level, represents a promising approach for studying complex biomolecular interactions between proteins and their binding partners at a detailed molecular level using rigorous physics-based simulation techniques.

biophysics↗

bioRxiv2019

Chloroplast SRP43 Subunit Prevents Aggregation of Proteins

Integration of light-harvesting chlorophyll binding proteins into the thylakoid membrane requires a specific chaperone, being the cpSRP43 subunit, of the signal recognition particle pathway in chloroplasts. cpSRP43, unique to the chloroplast, is responsible for transport of LHCPs through the stroma as well as assisting in the correct folding, assembly and disaggregation of these proteins for the acquisition of light energy. cpSRP43 is a highly flexible, multidomain protein capable of binding distinct partners in the cpSRP pathway. cpSRP43 is an irreplaceable component, necessary for the accurate and successful integration of LHCPs. It can act as a disaggregase without any input of external energy. Its action is based on the ability to associate with variable regions of different proteins owing to the domains and flexibility within its distinctive structure. Understanding the unique capabilities of cpSRP43 in the chloroplast begs the question of its usefulness outside of the plant cell, as well as its yet unknown roles still within the plant cell. Although the capabilities of cpSRP43 as a hub protein, adept to binding many unknown partners, has been alluded to in other works, it has yet to be thoroughly investigated. In this study we discover that cpSRP43 can act as a generic chaperone for proteins other than LHCP/not native to the chloroplast. The high thermal stability of cpSRP43 has been demonstrated in the previous chapter by its ability to retain its secondary structure as well as withstand aggregation upon heating and cooling cycles as confirmed by absorbance, intrinsic tryptophan fluorescence and far UV circular dichroism spectroscopy. This property gives cpSRP43 the basis to act as a generic chaperone and provide protection like that of typical heat shock proteins. Carbonic anhydrase, Concanavalin A and hFGF1 (acidic human fibroblast growth factor), were selected as candidates for chaperoning activity by cpSRP43. In all three cases, heat-induced aggregation of the candidate protein was either eliminated or significantly reduced in the presence of cpSRP43. In the case of hFGF1, the bioactivity was preserved after heat-treatment in the presence of cpSRP43. We have proposed a mechanism by which cpSRP43 is able to execute this action however further investigation is warranted to determine the exact mechanism(s) which may vary dependent on the target protein.

biochemistry↗

bioRxiv2019

Conformational Transition Pathways in Major Facilitator Superfamily Transporters

AbstractThe major facilitator superfamily (MFS) of transporters contains three classes of membrane transporters: symporters, uniporters, and antiporters. Despite utilizing a variety of transport methods, MFS transporters are believed to undergo similar con-formational changes within their distinct transport cycles. Although the similarities regarding conformational changes between the classes of MFS transporters are note-worthy, the differences are also valuable because they may explain the distinct functions of the classes within the MFS. Here, we have performed a variety of equilibrium and non-equilibrium all-atom molecular dynamics (MD) simulations of the bacterial proton-coupled oligopeptide transporter (GkPOT) and the human glucose transporter 1 (GluT1). To compare the similarities and differences of the conformational dynamics found within the three different classes of transporters we have also referenced previous simulations involving the glycerol-3-phosphate (GlpT) transporter. All of the proteins discussed here were simulated in the apo state in explicit membrane environments. Our results suggest a very similar conformational transition for all transporter types involving interbundle salt-bridge formation/disruption coupled with the orientation changes of transmembrane (TM) helices, specifically H1/H7 and H5/H11, resulting in an alternation in the accessibility of water at the cyto- and periplasmic gates.

biophysics↗

bioRxiv2019

Addressing the Embeddability Problem in Transition Rate Estimation

Markov State Models (MSM) and related techniques have gained significant traction as a tool for analyzing and guiding molecular dynamics (MD) simulations due to their ability to extract structural, thermodynamic, and kinetic information on proteins using computationally feasible MD simulations. The MSM analysis often relies on spectral decomposition of empirically generated transition matrices. Here, we discuss an alternative approach for extracting the thermodynamic and kinetic information from the so-called rate/generator matrix rather than the transition matrix. Although the rate matrix itself is built from the empirical transition matrix, it provides an alternative approach for estimating both thermodynamic and kinetic quantities, particularly in diffusive processes. We particularly discuss a fundamental issue with this approach, known as the embeddability problem and offer ways to address this issue. We describe eight different methods to overcome the embeddability problem, including a novel approach developed for this work. The algorithms were tested on data from a one-dimensional toy model to show the workings of these methods and discuss the robustness of each method in terms of its dependence in lag time and trajectory length.

biophysics↗

bioRxiv2019

Thermodynamic and Kinetic Characterization of Protein Conformational Dynamics within a Riemannian Diffusion Formalism

We have formulated a Riemannian framework for describing the geometry of collective variable spaces of biomolecules within the context of collective variable based molecular dynamics simulations. The formalism provides a theoretical framework to develop enhanced sampling techniques, path-finding algorithms, and transition rate estimators consistent with a Riemannian treatment of the collective variable space, where the quantities of interest such as the potential of the mean force, minimum free energy path, the diffusion constant, and the transition rate remain invariant under coordinate transformation due to the Riemannian treatment of the collective variable space. Specific algorithms within this framework are discussed such as the Riemannian umbrella sampling, the Riemannian string method, and a Riemannian-Bayesian estimator of free energy and diffusion constant, which can be used to estimate the transition rate along a minimum free energy path.

biophysics↗

bioRxiv2019

Elucidating the Molecular Basis of pH Activation of an Engineered Mechanosensitive Channel

Mechanosensitive (MS) channels detect and respond to changes in the pressure profile of cellular membranes and transduce the mechanical energy into electrical and/or chemical signals. However, by re-engineering the MS channels, chemical signals such as pH change can trigger the activation of some MS channels. This paper elucidate the activation mechanism of an engineered MS channel of large conductance (MscL) at an atomic level through a combination of equilibrium, non-equilibrium, biased, and unbiased molecular dynamics (MD) simulations for the first time. Comparing the wild-type and engineered MscL activation processes at an atomic level suggests that the two systems are likely to be associated with different active states and different transition pathways. These findings indicate that (1) periplasmic loops play a key role in the activation process of MscL, (2) the loss of various hydrogen bonds and salt bridge interactions in the engineered MscL channel causes the spontaneous opening of the channel, and (3) the most significant interactions lost during the activation process are those between the transmembrane (TM) helices 1 and 2 (TM1 and TM2) in engineered MscL channel. In this research, the orientation-based biasing approach for producing and optimizing an open MscL model is a promising way to characterize unknown protein functional states and to research the activation processes in ion channels. String method with swarms of trajectories (SMwST) was used to identify the optimal transition pathway and elucidate the activation mechanism of the engineered MscL. Finally, the free energy profile of engineered MscL associated with the activation process using a novel along-the-path free energy calculation approach is constructed. This work paves the way for a computational framework for the studies aimed at designing pH-triggered channel-functionalized drug delivery liposomes.

biophysics↗

bioRxiv2019

The Role of a Crystallographically Unresolved Cytoplasmic Loop in Stabilizing the Bacterial Membrane Insertase YidC2

YidC, a bacterial member of the YidC/Alb3/Oxa1 insertase family, mediates membrane protein assembly and insertion. Cytoplasmic loops are known to have functional significance in membrane proteins such as YidC. Employing microsecond-level molecular dynamics (MD) simulations, we show that the crystallographically unresolved C2 loop plays a crucial role in the structural dynamics of Bacillus halodurans YidC2. We have modeled the C2 loop and used allatom MD simulations to investigate the structural dynamics of YidC2 in its apo form, both with and without the C2 loop. The C2 loop was found to stabilize the entire protein and particularly the C1 region. C2 was also found to stabilize the alpha-helical character of the C-terminal region. Interestingly, the highly polar or charged lipid head groups of the simulated membranes were found to interact with and stabilize the C2 loop. These findings demonstrate that the crystallographically unresolved loops of membrane proteins could be important for the stabilization of the protein despite the apparent lack of structure, which could be due to the absence of the relevant lipids to stabilize them in crystallographic conditions.

biophysics↗