Molecular Modeling Tools Research Articles

Molecular Basis of the Substrate Specificity of Phosphotriesterase from Pseudomonas diminuta: A Combined QM/MM MD and Electron Density Study.

The occurrence of organophosphorus compounds, pesticides, and flame-retardants in wastes is an emerging ecological problem. Bacterial phosphotriesterases are capable of hydrolyzing some of them. We utilize modern molecular modeling tools to study the hydrolysis mechanism of organophosphorus compounds with good and poor leaving groups by phosphotriesterase from Pseudomonas diminuta (Pd-PTE). We compute Gibbs energy profiles for enzymes with different cations in the active site: native Zn2+cations and Co2+cations, which increase the steady-state rate constant. Hydrolysis occurs in two elementary steps via an associative mechanism and formation of the pentacoordinated intermediate. The first step, a nucleophilic attack, occurs with a low energy barrier independently of the substrate. The second step has a low energy barrier and considerable stabilization of products for substrates with good leaving groups. For substrates with poor leaving groups, the reaction products are destabilized relative to the ES complex that suppresses the reaction. The reaction proceeds with low energy barriers for substrates with good leaving groups with both Zn2+and Co2+cations in the active site; thus, the product release is likely to be a limiting step. Electron density and geometry analysis of the QM/MM MD trajectories of the intermediate states with all considered compounds allow us to discriminate substrates by their ability to be hydrolyzed by the Pd-PTE. For hydrolyzable substrates, the cleaving bond between a phosphorus atom and a leaving group is elongated, and electron density depletion is observed on the Laplacian of electron density maps.

Protein - carbohydrate interaction studies using domestic animals as role models support the search of new glycomimetic molecules

The structural dynamics of the interactions between defensins or lysozymes and various saccharide chains that are covalently linked to lipids or proteins were analyzed in relation to the sub-molecular architecture of the carbohydrate binding sites of lectins. Using tissue materials from rare and endangered domestic animals as well as from dogs it was possible to compare these results with data obtained from a human glioblastoma tissue. The binding mechanisms were analyzed on a cellular and a sub-molecular size level using biophysical techniques (e.g. NMR, AFM, MS) which are supported by molecular modeling tools. This leads to characteristic structural patterns being helpful to understand glyco-biochemical pathways in which galectins, defensins or lysozymes are involved. Carbohydrate chains have a distinct impact on cell differentiation, cell migration and immunological processes. The absence or the presence of sialic acids and the conformational dynamics in glycans are often correlated with zoonoses such as influenza- and coronavirus-infections. Receptor-sensitive glycomimetics could be a solution. The new findings concerning the function of galectin-3 in the nucleus in relation to differentiation processes can be understood when the binding specificity of neuroleptic molecules as well as the interactions between proteins and nucleic acids are describable on a sub-molecular size level.

Accelerate drug repurposing with in-silico molecular modelling techniques, tools and databases: A comprehensive review

Exploring innovative ways to accelerate drug repurposing through in-silico molecular modeling techniques, tools, and databases is paramount in modern pharmaceutical research. Exploring the vast landscape of drug repurposing presents both a challenge and an opportunity in the realm of pharmaceutical research. With the escalating costs and time-consuming nature of developing new drugs from scratch, the urgency to identify novel therapeutic uses for existing compounds has never been more pressing. Readers can expect a detailed exploration of how computational methods are revolutionizing drug repurposing efforts, offering insights into accelerated drug discovery and development timelines. This comprehensive review dives deep into the opportunities and challenges of leveraging computational approaches to identify new therapeutic uses for existing drugs and this article highlights the potential of in-silico methods to revolutionize drug discovery by repurposing existing compounds efficiently and cost-effectively, ultimately leading to faster development timelines and improved patient outcomes and will be focused for In-silico molecular modeling techniques, tools, and databases as powerful allies in expediting this crucial process.

Comparative Pore Structure and Dynamics for Bacterial Microcompartment Shell Protein Assemblies in Sheets or Shells.

Bacterial microcompartments (BMCs) are protein-bound organelles found in some bacteria that encapsulate enzymes for enhanced catalytic activity. These compartments spatially sequester enzymes within semipermeable shell proteins, analogous to many membrane-bound organelles. The shell proteins assemble into multimeric tiles; hexamers, trimers, and pentamers, and these tiles self-assemble into larger assemblies with icosahedral symmetry. While icosahedral shells are the predominant form in vivo, the tiles can also form nanoscale cylinders or sheets. The individual multimeric tiles feature central pores that are key to regulating transport across the protein shell. Our primary interest is to quantify pore shape changes in response to alternative component morphologies at the nanoscale. We used molecular modeling tools to develop atomically detailed models for both planar sheets of tiles and curved structures representative of the complete shells found in vivo. Subsequently, these models were animated using classical molecular dynamics simulations. From the resulting trajectories, we analyzed the overall structural stability, water accessibility to individual residues, water residence time, and pore geometry for the hexameric and trimeric protein tiles from the Haliangium ochraceum model BMC shell. These exhaustive analyses suggest no substantial variation in pore structure or solvent accessibility between the flat and curved shell geometries. We additionally compare our analysis to hydroxyl radical footprinting data to serve as a check against our simulation results, highlighting specific residues where water molecules are bound for a long time. Although with little variation in morphology or water interaction, we propose that the planar and capsular morphology can be used interchangeably when studying permeability through BMC pores.

Modulation of aryl hydrocarbon receptor activity by tyrosine kinase inhibitors (ponatinib and tofacitinib)

Ponatinib and tofacitinib, established kinase inhibitors and FDA-approved for chronic myeloid leukemia and rheumatoid arthritis, are recently undergoing investigation in diverse clinical trials for potential repurposing. The aryl hydrocarbon receptor (AhR), a transcription factor influencing a spectrum of physiological and pathophysiological activities, stands as a therapeutic target for numerous diseases. This study employs molecular modelling tools and in vitro assays to identify ponatinib and tofacitinib as AhR ligands, elucidating their binding and molecular interactions in the AhR PAS-B domain. Molecular docking analyses revealed that ponatinib and tofacitinib occupy the central pocket within the primary cavity, similar to AhR agonists 2,3,7,8-tetrachlorodibenzodioxin (TCDD) and (benzo[a]pyrene) B[a]P. Our simulations also showed that these compounds exhibit good stability, stabilizing many hot spots within the PAS-B domain, including the Dα-Eα loop, which serves as a regulatory element for the binding pocket. Binding energy calculations highlighted ponatinib's superior predicted affinity, revealing F295 as a crucial residue in maintaining strong interaction with the two compounds. Our in vitro data suggest that ponatinib functions as an AhR antagonist, blocking the downstream signaling of AhR pathway induced by TCDD and B[a]P. Additionally, both tofacitinib and ponatinib cause impairment in AhR-regulated CYP1A1 enzyme activity induced by potent AhR agonists. This study unveils ponatinib and tofacitinib as potential modulators of AhR, providing valuable insights into their therapeutic roles in AhR-associated diseases and enhancing our understanding of the intricate relationship between kinase inhibitors and AhR.

Insights into structural vaccinology harnessed for universal coronavirus vaccine development.

Structural vaccinology is pivotal in expediting vaccine design through high-throughput screening of immunogenic antigens. Leveraging the structural and functional characteristics of antigens and immune cell receptors, this approach employs protein structural comparison to identify conserved patterns in key pathogenic components. Molecular modeling techniques, including homology modeling and molecular docking, analyze specific three-dimensional (3D) structures and protein interactions and offer valuable insights into the 3D interactions and binding affinity between vaccine candidates and target proteins. In this review, we delve into the utilization of various immunoinformatics and molecular modeling tools to streamline the development of broad-protective vaccines against coronavirus disease 2019 variants. Structural vaccinology significantly enhances our understanding of molecular interactions between hosts and pathogens. By accelerating the pace of developing effective and targeted vaccines, particularly against the rapidly mutating severe acute respiratory syndrome coronavirus 2 and other prevalent infectious diseases, this approach stands at the forefront of advancing immunization strategies. The combination of computational techniques and structural insights not only facilitates the identification of potential vaccine candidates but also contributes to the rational design of vaccines, fostering a more efficient and targeted approach to combatting infectious diseases.

Triple crossed 3 C26 cyclic cumulene catenane

Cumulenes are valuable precursors to an entire series of more complex organic derivatives. Cyclic cumulenes present a special case, since they possess an increased potential to possess a high order of symmetry. The stability of the cumulene molecule can be brought forth through the construction of crossed clusters. In this case, molecular modeling tools were employed in order to provide insights into the construction and stability of 3 C26 triple crossed C26 cyclic cumulene cluster. The study revealed that is a very little change in the total energy per atom (or per electron) of triple crossed 3 C26 when compared with C26 (0.00002 Hartree/e, which is less than 0.01 ‰). Other important parameters, such as the HOMO-LUMO gap and the angles between the planes of the molecular rings, suggest its kinship with fullerenes and the regular tetrahedron. Furthermore, in order to proof the suitability of the approach and of its results a symmetry constrained optimization study was conducted using Z-matrix internal coordinates with Gaussian software. At DFT BLYP 6-311 G* theory level a symmetry constrained optimization of the 3 C26 cluster converged, which suggests the possibility of obtaining this cluster by synthetic means.

Computational Insights into the Interaction of the Conserved Cysteine-Noose Domain of the Human Respiratory Syncytial Virus G Protein with the Canonical Fractalkine Binding site of Transmembrane Receptor CX3CR1 Isoforms.

The human Respiratory Syncytial Virus (hRSV) stands as one of the most common causes of acute respiratory diseases. The infectivity of this virus is intricately linked to its membrane proteins, notably the attachment glycoprotein (G protein). The latter plays a key role in facilitating the attachment of hRSV to respiratory tract epithelial cells, thereby initiating the infection process. The present study aimed to characterize the interaction of the conserved cysteine-noose domain of hRSV G protein (cndG) with the transmembrane CX3C motif chemokine receptor 1 (CX3CR1) isoforms using computational tools of molecular modeling, docking, molecular dynamics simulations, and binding free energy calculations. From MD simulations of the molecular system embedded in the POPC lipid bilayer, we showed a stable interaction of cndG with the canonical fractalkine binding site in the N-terminal cavity of the CX3CR1 isoforms and identified that residues in the extracellular loop 2 (ECL2) region and Glu279 of this receptor are pivotal for the stabilization of CX3CR1/cndG binding, corroborating what was reported for the interaction of the chemokine fractalkine with CX3CR1 and its structure homolog US28. Therefore, the results presented here contribute by revealing key structural points for the CX3CR1/G interaction, allowing us to better understand the biology of hRSV from its attachment process and to develop new strategies to combat it.

In Silico Molecular Modeling to Identify the Role of Enzymes Involved in Mitochondriogenesis Upon Malvidin-3-Glucoside Effect

ABSTRACT Aim: Mitochondriogenesis refers to the process of creating and maintaining mitochondria, which plays an essential role in cellular metabolism. Mitochondrial processes such as energy generation, the response to oxidative stress, and cell death are all tightly regulated by enzymes. The flavonoid molecule malvidin-3-glucoside (M3G), which may be found in a wide variety of fruits and vegetables, has been shown to improve mitochondrial activity. However, the precise enzymes that mediate M3G’s effect on mitochondriogenesis are yet unknown. Method: Here, we used in silico molecular modeling tools to look at how enzymes contribute to mitochondriogenesis after M3G administration. We used computational methods to discover candidate target enzymes known to interact with M3G and play important roles in mitochondrial physiology. Molecular docking was conducted to measure the binding affinity and stability of the M3G-enzyme complexes. The found enzymes’ structural and functional features were analyzed using bioinformatics techniques, and the predicted functional implications of their interaction with M3G were formulated. Result: Our goal in doing these studies was to understand better how M3G regulates mitochondriogenesis by the action of altering SIRT-1, AMPK, and PGC-1α via M3G. Conclusion: In sum, our findings provide light on the molecular pathways by which M3G influences mitochondriogenesis. Furthermore, experimental validation of the discovered enzymes and their interactions with M3G may aid in the development of therapeutic approaches to improve mitochondrial function and cellular health.

Screening Techniques for Drug Discovery in Alzheimer's Disease.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive and irreversible impairment of memory and other cognitive functions of the aging brain. Pathways such as amyloid beta neurotoxicity, tau pathogenesis and neuroinflammatory have been used to understand AD, despite not knowing the definite molecular mechanism which causes this progressive disease. This review attempts to summarize the small molecules that target these pathways using various techniques involving high-throughput screening, molecular modeling, custom bioassays, and spectroscopic detection tools. Novel and evolving screening methods developed to advance drug discovery initiatives in AD research are also highlighted.

Serendipitous N,S-difunctionalization of triazoles with trifluoromethyl-β-diketones: access to regioisomeric 1-trifluoroacetyl-3-aryl-5-(2-oxo-2-arylethylthio)-1,2,4-triazoles as DNA-groove binders.

In the present research work, a serendipitous regioselective synthesis of DNA targeting agents, 1-trifluoroacetyl-3-aryl-5-(2-oxo-2-arylethylthio)-1,2,4-triazoles, has been achieved through the one-pot cascade reaction of 3-mercapto[1,2,4]triazoles with trifluoromethyl-β-diktetones in presence of NBS instead of the cyclized thiazolo[3,2-b][1,2,4]triazole. The present protocol offered a unique approach for functionalizing both N-acylation and S-alkylation in a concerted fashion. The structures of the regioisomeric products were thoroughly characterized by heteronuclear 2D NMR experiments. Facile scalability and excellent atom economy through easily available starting reactants are the notable features of the present sustainable protocol. Targeting tumor cell DNA with minor groove-binding small molecules has proven highly effective in the recent past, drawing significant attention for combating tumor-related afflictions. In this context, the synthesized analogs were primarily screened for their ability to bind with the DNA duplex d(CGCGAATTCGCG)2 using molecular modeling tools. Additionally, the most promising compound 14m was deployed as a probe for DNA sensing and interaction mechanisms with calf thymus (ct)DNA through various spectral techniques at a physiologic temperature of 37 °C. It has been found that the compound demonstrated a strong binding affinity (Kb = 1 × 105 M-1) with double-helical DNA, particularly within the minor groove, resulting in the formation of a stable complex through static quenching (Kq = 5.86 ± 0.11 × 1012 M-1 s-1). The fluorescent displacement assay confirmed that the quencher binds to the minor groove of ctDNA, further supported by circular dichroism and viscosity studies.

On the influence of metal nanoparticle and π-system sizes in the stability of noncovalent adducts: a theoretical study.

Herein we have computationally evaluated the relationship between Ag and Au nanoparticle (Ag/AuNP) size and π-surface extension in the formation of noncovalent complexes at the PBE0-D3/def2-TZVP level of theory. The NP-π interaction is known in supramolecular chemistry as a Regium-π bond (Rg-π), and differentiates from classical coordination bonds in strength and type of metal orbitals involved. In this study, the Rg-π complexes involved small Ag/AuNPs composed by 1 to 5 atoms and benzene, naphthalene and anthracene as π-systems, being characterized using several molecular modeling tools, including molecular electrostatic potential (MEP) calculations, energy decomposition analysis (EDA), quantum theory of atoms in molecules (QTAIM), non covalent interaction plot (NCIplot) and natural bonding orbital (NBO) methodologies. We believe the results reported herein will be useful for those scientists working in catalysis, molecular recognition and materials science fields, where structural-energetic relationships of weak interactions are crucial to achieve product selectivity, a particular molecular recognition mode or a specific molecular assembly.

Modulation of excimer formation and photostability of avobenzone inside the nanocavities of cyclodextrins

Avobenzone (AVZ), a UVA filter, is extensively used in sunscreen lotion and protects the skin from harmful UVA radiation. Despite their importance in sunscreen formulation, less attention has been given to its light induced excited state properties. Herein, we have explored the photophysical properties of AVZ in aqueous solutions and cyclodextrins (CDs) complexes by employing steady-state, time-resolved fluorescence, and molecular modelling tools followed by photostability analysis. AVZ exhibits dual emission from monomer and excimer forms in aqueous solutions. Spectroscopic studies revealed that AVZ forms multiple inclusion complexes with β-CD and γ-CD depending upon the host’s cavity size. These versatile host–guest complexes resulted in the modulation of the excimer formation of AVZ. The presence of α-CD and β-CD complexes with AVZ inhibited the excimer forms. In contrast, γ-CD facilitated excimer formation because its larger cavity could encapsulate the AVZ dimer. Stoichiometry and association constants for multiple host–guest complexes were determined using Benesi-Hildebrand (BH) plot. Job’s plot was used to confirm the stoichiometry of complexes. Time correlated single photon counting (TCSPC) technique was used to depict the excited state lifetime values of AVZ:CD inclusion complexes. Furthermore, these inclusion complexes were characterized by Fourier transform-infrared (FT-IR) spectroscopy, X-ray diffraction (XRD) and scanning electron microscopy (SEM) techniques. Molecular docking followed by semiempirical calculations confirm the experimental results on stoichiometries and binding constants of host–guest complexes. UV light-induced absorption kinetics revealed that the photostability of AVZ inside the β-CD cavity is much better than other inclusion complexes of CDs. Overall, the present study helps us in further understanding of excited state behavior of AVZ inside hydrophobic nanocavities.

Molecular level investigation of interactions between pharmaceuticals and β-cyclodextrin (β-CD) functionalized adsorption sites for removal of pharmaceutical contaminants from water

This study describes a novel application of the use of molecular modeling tools for investigating the adsorption of organic micropollutants (OMPs) from water by nanocomposites. The partitioning of pharmaceuticals onto β-Cyclodextrin (β-CD) functionalized adsorbents was investigated at the molecular level to explore the atomistic interactions of pharmaceutical contaminants in water systems with β-CD and to provide insight into possible approaches for removal of pharmaceuticals from water. Molecular electrostatic surface potential mapping of β-CD derivatives was employed to examine the impact of substitution degree of β-CD and type of grafting agent on host-guest complexation. The stability of the complexes of selected pharmaceuticals and β-CD derivatives were assessed via molecular dynamics simulations to evaluate competitive adsorption between organic micropollutants (OMPs) and between OMPs and fulvic acid, a representative natural organic material (NOM) component found in water systems. Molecular electrostatic surface potential maps showed that grafting agents with aromatic and amine functional groups were found to provide attractive interactions for negatively charged OMPs. In addition, optimization of substitution degree of β-CD is necessary to enhance adsorption of target OMPs. Furthermore, it was found that aromatic ring bearing grafting agents can provide additional electrostatic attractions by π-π interactions with the aromatic ring of the OMPs. The impact of common water quality characteristics on adsorption was assessed and it was revealed that the effect of pH and calcium on adsorption depends on the ionizable functional groups present on the grafting agent. Molecular dynamics simulations showed that adsorption of target OMPs does not solely depend on hydrophobicity but is affected by electrostatic interactions. The simulations revealed that fulvic acid which is commonly present in environmental waters can be a competitor with ibuprofen for the β-CD cavity. Ultimately, this study showed that molecular level simulation can be effectively employed to investigate adsorption of OMPs by β-CD functionalized adsorbents and could be employed to enhance their design and subsequent environmental applications.

A review on in silico virtual screening methods in COVID-19 using anticancer drugs and other natural/chemical inhibitors.

The present coronavirus disease 2019 (COVID-19) pandemic scenario has posed a difficulty for cancer treatment. Even under ideal conditions, malignancies like small cell lung cancer (SCLC) are challenging to treat because of their fast development and early metastases. The treatment of these patients must not be jeopardized, and they must be protected as much as possible from the continuous spread of the COVID-19 infection. Initially identified in December 2019 in Wuhan, China, the contagious coronavirus illness 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Finding inhibitors against the druggable targets of SARS-CoV-2 has been a significant focus of research efforts across the globe. The primary motivation for using molecular modeling tools against SARS-CoV-2 was to identify candidates for use as therapeutic targets from a pharmacological database. In the published study, scientists used a combination of medication repurposing and virtual drug screening methodologies to target many structures of SARS-CoV-2. This virus plays an essential part in the maturation and replication of other viruses. In addition, the total binding free energy and molecular dynamics (MD) modeling findings showed that the dynamics of various medications and substances were stable; some of them have been tested experimentally against SARS-CoV-2. Different virtual screening (VS) methods have been discussed as potential means by which the evaluated medications that show strong binding to the active site might be repurposed for use against SARS-CoV-2.

Is triple crossed C28 cyclic polyyne cluster a stable conformation?

Polyynes sometimes referred to as oligoynes or carbinoids, and their resonance cumulene form are valuable precursors to a whole series of more complex organic derivatives. Motivated by a series of studies that explore the stabilization of polyynes, in different ways, the possibility of their stabilization through the formation of crossed cycles is explored in this article. It is easy to notice that the cyclic conformations represent a special case, in that they possess an increased symmetry. The stability of the polyene molecule can be enhanced by building cross-clusters. In this article, the molecular modeling tools were employed in order to provide insights about the construction and stability of 3C28 triple crossed C28 cyclic polyyne cluster. It has been shown that C28 and 3C28 triple crossed C28 are very similar energetically. HOMO–LUMO gap suggests a metallic conductivity. The angles between the planes of the molecular rings shows almost an axial alignment of the rings. A symmetry-constrained optimization was conducted using Z-matrix internal coordinates and Gaussian software, and it revealed that the geometrical conformation of C28 polyyne as triple crossed cluster is a stable conformation, since in all investigated scenarios the convergence is assured and it is to nearly optimum local points.

Design, synthesis, biological evaluation and in silico studies of N-(pyridin-2-yl)-benzamides derivatives as quorum sensing inhibitors

The emergence of bacterial resistance against chemical treatment is a big threat to the efficacy of bacterial infection treatment. One of the major reasons for resistance to antimicrobial agents is growth of microorganisms in biofilm. An alternative treatment by developing novel anti-biofilm agents had led to the concept of quorum sensing (QS) inhibition, which primarily targets QS signaling system by disrupting cell-cell communication. Therefore, this study focuses to develop novel antimicrobial agents which work by QS inhibition and act as anti-biofilm agents against Bacillus Subtilis and Pseudomonas Aeruginosa. In this work, a natural product-like scaffolds from Asinex library were screened and N-pyridin-2-yl-benzamide moiety was chosen to design and synthesize. Synthesized compounds were evaluated for potential anti-biofilm activity for the aforesaid microorganisms and also checked for cell viability assay, where two potent compounds 3a and 3c showed their static biofilm activity to ∼59% and ∼58% at 100 μM, respectively against Bacillus subtilis. These synthesized compounds were investigated for physicochemical parameters and binding mode prediction through molecular modelling tools. The interactions and stability of these compounds showed better affinity towards TasA and LasR proteins from Bacillus subtilis and Pseudomonas aeruginosa, respectively. Furthermore, molecular dynamic simulation for 100 ns was executed in order to appreciate the stability of the protein and ligand complex. The overall results promised that N-pyridin-2-yl-benzamide derivatives can be discovered as a lead in developing potent anti-quorum sensing agents against various bacteria.

In Silico Analysis of Phytocompounds from Aegle marmelos Against Potential Targets of Irritable Bowel Syndrome

Irritable Bowel Syndrome (IBS) is a gastrointestinal disorder that affects 7-21% of the world’s population. People suffering from this illness can have a significant change in their quality of life and their productivity at work. Medicinal plants and their derived products have long been explored and used for their medicinal qualities throughout the world to cure numerous ailments, including gastrointestinal problems. The main aim of this study was to predict highly efficacies therapeutic molecules from the medicinal plant, Aegle marmelos to bind potential target against IBS and gastrointestinal protection, using in silico molecular modeling tools. A total of 16 phytocompounds were identified through the IMPPAT database from A. marmelos, and their structures were drawn by Chemsketch software. All the phytocompounds were docked against the chosen potential target protein, Motilin receptor (MLNR). The selected phytocompounds showed better binding affinities (–5 to –8.4 kcal × mol[Formula: see text] against the target. Top-scored phytocompounds from A. marmelos, Aegeline (–8.4 kcal × mol[Formula: see text], Alloimperatorin methyl (–8.2 kcal × mol[Formula: see text], and Imperatorin (–8.2 kcal × mol[Formula: see text] were selected for further evaluation and compared to the standard drug R093877 (–6.7 kcal × mol[Formula: see text]. Drug-likeness, ADME n T and other physicochemical properties of selected top scored phytocompounds were assessed to confirm their druggability. The molecular dynamics simulation studies of selected top scored phytocompounds showed stable binding affinities with the MLNR protein on entire period. Based on these findings, the top three scored phytocompounds might be used as potent and safe molecules against the MLNR protein and could potentially be used in the treatment of IBS.

Understanding the Molecular Regulation of Serotonin Receptor 5-HTR1B-β-Arrestin1 Complex in Stress and Anxiety Disorders.

The serotonin receptor subtype 5-HTR1B is widely distributed in the brain with an important role in various behavioral implications including neurological conditions and psychiatric disorders. The neuromodulatory action of 5-HTR1B largely depends upon its arrestin mediated signaling pathway. In this study, we tried to investigate the role of unusually long intracellular loop3 (ICL3) region of the serotonin receptor 5-HTR1B in interaction with β-arrestin1 (Arr2) to compensate for the absence of the long cytoplasmic tail. Molecular modeling and docking tools were employed to obtain a suitable molecular conformation of the ICL3 region in complex with Arr2 which dictates the specific complex formation of 5-HTR1B with Arr2. This reveals the novel molecular mechanism of phosphorylated ICL3 mediated GPCR-arrestin interaction in the absence of the long cytoplasmic tail. The in-cell disulfide cross-linking experiments and molecular dynamics simulations of the complex further validate the model of 5-HTR1B-ICL3-Arr2 complex. Two serine residues (Ser281 and Ser295) within the 5-HTR1B-ICL3 region were found to be occupying the electropositive pocket of Arr2 in our model and might be crucial for phosphorylation and specific Arr2 binding. The alignment studies of these residues showed them to be conserved only across 5-HTR1B mammalian species. Thus, our studies were able to predict a molecular conformation of 5-HTR1B-Arr2 and identify the role of long ICL3 in the signaling process which might be crucial in designing targeted drugs (biased agonists) that promote GPCR-Arr2 signaling to deter the effects of stress and anxiety-like disorders.

Determining the Predominant Conformations of Mortiamides A-D in Solution Using NMR Data and Molecular Modeling Tools.

Macrocyclic peptidomimetics have been seriously contributing to our arsenal of drugs to combat diseases. The search for nature's discoveries led us to mortiamides A-D (found in a novel fungus from Northern Canada), which is a family of cyclic peptides that clearly have demonstrated impressive pharmaceutical potential. This prompted us to learn more about their solution-state properties as these are central for binding to target molecules. Here, we secured and isolated mortiamide D, and then acquired high-resolution nuclear magnetic resonance (NMR) data to learn more about its structure and dynamics attributes. Sets of two-dimensional NMR experiments provided atomic-level (through-bond and through-space) data to confirm the primary structure, and NMR-driven molecular dynamics (MD) simulations suggested that more than one predominant three-dimensional (3D) structure exist in solution. Further steps of MD simulations are consistent with the finding that the backbones of mortiamides A-C also have at least two prominent macrocyclic shapes, but the side-chain structures and dynamics differed significantly. Knowledge of these solution properties can be exploited for drug design and discovery.