The SARS-CoV-2 Antibody and Drug Research Based on the Structure of the Spike Protein and the Mechanism of Cell Entry.

COVID-19 is a severe acute respiratory syndrome caused by a novel coronavirus, SARS-CoV- 2.COVID-19 is now a pandemic, and is not yet fully under control.As the surface spike protein (S) mediates the recognition between the virus and cell membrane and the process of cell entry, it plays an important role in the course of disease transmission.The study on the S protein not only elucidates the structure and function of virus-related proteins and explains their cellular entry mechanism, but also provides valuable information for the prevention, diagnosis and treatment of COVII)-19.Concentrated on the S protein of SARS-CoV-2, this review covers four aspects: (1 ) The structure of the S protein and its binding with angiotensin converting enzyme II (ACE2) , the specific receptor of SARS-CoV-2, is introduced in detail.Compared with SARS-CoV, the receptor binding domain (RBD) of the SARS-CoV- 2 S protein has a higher affinity with ACE2, while the affinity of the entire S protein is on the contrary.(2) Currently, the cell entry mechanism of SARS-CoV-2 meditated by the S protein is proposed to include endosomal and non-endosomal pathways.With the recognition and binding between the S protein and ACE2 or after cell entry, transmembrane protease serine 2(TMPRSS2) , lysosomal cathepsin or the furin enzyme can cleave S protein at S1/S2 cleavage site, facilitating the fusion between the virus and target membrane.(3) For the progress in SARS-CoV-2 S protein antibodies, a collection of significant antibodies are introduced and compared in the fields of the target, source and type.(4) Mechanisms of therapeutic treatments for SARS-CoV-2 varied.Though the antibody and medicine treatments related to the SARS-CoV-2 S protein are of high specificity and great efficacy, the mechanism, safety, applicability and stability of some agents are still unclear and need further assessment.Therefore, to curb the pandemic, researchers in all fields need more cooperation in the development of SARS-CoV-2 antibodies and medicines to face the great challenge.Copyright © Palaeogeography (Chinese Edition).All right reserved.

In silico screening of potential compounds from begonia genus as 3CL protease (3Cl pro) SARS-CoV-2 inhibitors

Background: The emergence of Coronavirus disease (COVID-19) has been declared a pandemic and made a medical emergency worldwide. Various attempts have been made, including optimizing effective treatments against the disease or developing a vaccine. Since the SARS-CoV-2 protease crystal structure has been discovered, searching for its inhibitors by in silico technique becomes possible. Objective(s): This study aims to virtually screen the potential of phytoconstituents from the Begonia genus as 3Cl pro-SARS-CoV- 2 inhibitors, based on its crucial role in viral replication, hence making these proteases "promising" for the anti-SARS-CoV-2 target. Method(s): In silico screening was carried out by molecular docking on the web-based program DockThor and validated by a retrospective method. Predictive binding affinity (Dock Score) was used for scoring the compounds. Further molecular dynamics on Desmond was performed to assess the complex stability. Result(s): Virtual screening protocol was valid with the area under curve value 0.913. Molecular docking revealed only beta-sitosterol-3-O-beta-D-glucopyranoside with a lower docking score of -9.712 kcal/mol than positive control of indinavir. The molecular dynamic study showed that the compound was stable for the first 30 ns simulations time with Root Mean Square Deviation <3 A, despite minor fluctuations observed at the end of simulation times. Root Mean Square Fluctuation of catalytic sites HIS41 and CYS145 was 0.756 A and 0.773 A, respectively. Conclusion(s): This result suggests that beta-sitosterol-3-O-beta-Dglucopyranoside might be a prospective metabolite compound that can be developed as anti-SARS-CoV-2.Copyright © 2023, Page Press Publications. All rights reserved.

Italian ancestral HLA haplotype predisposing to severe COVID-19 by low spike and high IFNalpha binding affinity

Background/Objectives: Validated association between COVID-19 and the most obvious candidate genes, e.g. HLA, is still missing. A weak association with class I HLA-C*04:01 was found for infection in Sardinians and for severity in another mixed population. Auto-antibodies to interferon type I have been implicated in the severity of COVID-19 in two studies. Method(s): The binding affinity between HLA molecules and SARS-CoV-2 spike protein and IFNalpha subunits was evaluated in silico. The presence of antibodies against one or more of the 12 IFNalpha subunits was evaluated in 160 hospitalized COVID-19 patients. The 10 most frequent haplotypes in the Italian population were tested in 1.997 SARS-CoV-2 infected patients (hospitalized versus not hospitalized). Result(s): The presence of auto-antibodies against at least one IFNalpha subunit was detected in 26% of patients. The haplotype A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01 was found to predispose to severity (p = 0.0018;p = 0.07 after Bonferroni correction) in patients <50 years. The haplotype includes alleles able to bind spike with low affinity (i.e. C*04:01 and DRB1*11:04) and IFNalpha with high affinity (i.e. DRB1*11:04). Conclusion(s): One of the 10 most frequent ancestral haplotype of the Italian population predisposes to severity likely reducing both innate immunity through IFNalpha auto-antibodies induction and adaptive immunity through weaker spike protein presentation.

Identification of key mutations responsible for the enhancement of receptor-binding affinity and immune escape of SARS-CoV-2 Omicron variant.

The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has raised concerns worldwide due to its enhanced transmissibility and immune escapability. The first dominant Omicron BA.1 subvariant harbors more than 30 mutations in the spike protein from the prototype virus, of which 15 mutations are located at the receptor binding domain (RBD). These mutations in the RBD region attracted significant attention, which potentially enhance the binding of the receptor human angiotensin-converting enzyme 2 (hACE2) and decrease the potency of neutralizing antibodies/nanobodies. This study applied the molecular dynamics simulations combined with the molecular mechanics-generalized Born surface area (MMGBSA) method, to investigate the molecular mechanism behind the impact of the mutations acquired by Omicron on the binding affinity between RBD and hACE2. Our results indicate that five key mutations, i.e., N440K, T478K, E484A, Q493R, and G496S, contributed significantly to the enhancement of the binding affinity by increasing the electrostatic interactions of the RBD-hACE2 complex. Moreover, fourteen neutralizing antibodies/nanobodies complexed with RBD were used to explore the effects of the mutations in Omicron RBD on their binding affinities. The calculation results indicate that the key mutations E484A and Y505H reduce the binding affinities to RBD for most of the studied neutralizing antibodies/nanobodies, mainly attributed to the elimination of the original favorable gas-phase electrostatic and hydrophobic interactions between them, respectively. Our results provide valuable information for developing effective vaccines and antibody/nanobody drugs.

Screening and comparative studies of conducting polymers for developing effective molecular imprinted sensors for copper, zinc superoxide dismutase

This work describes the design, development, and screening of conducting polymers based molecularly imprinting sensors (MIP) for copper, Zinc superoxide dismutase (SOD1). It is clinically significant for a wide variety of cardiovascular, neurodegenerative, Covid-19, and chronic immune illness. The SOD1 MIP sensors were undertaken by electropolymerization of various monomers on Screen Printed carbon electrode (SPCE) using cyclic voltammetry (CV) to examine the molecular recognition capability. The MIP receptors film binding towards SOD1 was studied by fitting experimental CV data to the Langmuir and Freundlich isotherms. Among the various monomers EDOT (3,4-ethylenedioxythiophene), Py (Pyrrole), and DA (Dopamine), the binding affinity (KL) of the poly(3-amionphenylboronic acid) (P3APBA) imprinted MIP system was considerably higher than the other conducting polymer MIP systems. Based on the above studies, 3APBA was chosen to develop a molecularly imprinted poly(3-aminophenylboronic acid) (MIP3APBA) sensor for sensitive and selective detection of SOD1. This MIP3APBA sensor's behaviour and analytical ability were characterized by Cyclic Voltammetry (CV), Differential Pulse Voltammetry (DPV) and Electrochemical Impedance Spectroscopy (EIS). It showed a lowest detection limit of 0.4 μM and a linear range of 1 μM to 500 μM. Further, this electrochemical MIP3APBA sensor was also used to quantify SOD1 levels in plasma samples.

Molecular Docking Based in-Silico Approach Reveals the Potential Inhibitory Activity of Nsaids against Sars-Cov-2 Proteins

The rapid rate of mutation of the RNA genome of the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is responsible for the emergence of viral variants, leading to the enhanced survivability of the virus. Hence, searching for new drugs that can restrict new viral infections by interacting with wild-type and mutated viral proteins is important. However, new drug development's economic and time-constraining nature makes drug repurposing a more viable solution to address the problem. In this work, we conducted a computational study to screen 23 Non-Steroidal Anti-Inflammatory Drugs (NSAID) interactions with 5 major viral proteins of SARS-CoV-2 that are mainly involved in host infection. Our in-silico results establish a database that shows that different NSAID ligands interact with the different viral proteins with good binding affinities. Stabilizing point mutations were introduced within the conserved amino acids involved in ligand-protein interactions. Redocking the NSAID ligands with these mutated viral proteins showed that the NSAID ligands could bind with the mutated and wild-type viral proteins with comparable binding affinities. We conclude that the NSAID ligands could be repurposed as therapeutic drugs against the SARS-CoV-2 virus. Additionally, our work generated a repository that includes binding affinities, possible modes of interaction, and specific interacting residues of the protein (wild-type and mutated) ligand complexes that could be used for future validation studies. Further, our results point to the potential of these drugs to treat other viral infections with similar disease etiology.Copyright All © 2023 are reserved by International Journal of Pharmaceutical Sciences and Research.

In silico identification of the potential natural inhibitors of SARS-CoV-2 Guanine-N7 methyltransferase

Background: The outbreak of the COVID-19 pandemic caused by the SARS-CoV-2 has triggered intense scientific research into the possible therapeutic strategies that can combat the ravaging disease. One of such strategies is the inhibition of an important enzyme that affects an important physiological process of the virus. The enzyme, Guanine-N7 Methyltransferase is responsible for the capping of the SARS-CoV-2 mRNA to conceal it from the host's cellular defense. The aim of the study: This study aims at computationally identifying the potential natural inhibitors of the SARS-CoV-2 Guanine-N7 methyltransferase binding at the active site (Pocket 41). Material(s) and Method(s): A library of small molecules was obtained from edible African plants and was molecularly docked against the SARS-CoV-2 Guanine-N7 methyltransferase (QHD43415_13. pdb) using the Pyrx software. Sinefungin, an approved antiviral drug had a binding score of -7.6 kcal/ mol with the target was chosen as a standard. Using the molecular descriptors of the compounds, virtual screening for oral availability was performed using the Pubchem and SWISSADME web tools. The online servers pkCSM and Molinspiration were used for further screening for the pharmacokinetic properties and bioactivity respectively. The molecular dynamic simulation and analyses of the Apo and Holo proteins were performed using the GROMACS software on the Galaxy webserver. Result(s): With a total RMSD of 77.78, average RMSD of 3.704, total regional (active site) RMSF of 30.61, average regional RMSF of 1.91, gyration of 6.9986, and B factor of 696.14, Crinamidine showed the greatest distortion of the target. Conclusion(s): All the lead compounds performed better than the standard while Crinamidine is predicted to show the greatest inhibitory activity. Further tests are required to further investigate the inhibitory activities of the lead compounds.Copyright © 2022 Belgorod State National Research University. All right reserved.

SMALL MOLECULE INHIBITOR FOR BLOCKING SARS-CoV-2 ENTRY

Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a novel and highly pathogenic coronavirus and is the causative agent of COVID-19, an ongoing pandemic that has posed a serious threat to public health and global economy. Thus, there is a pressing need for therapeutic interventions that target essential viral proteins and regulate virus spread and replication. To invade the host cell, the receptor-binding domain (RBD) of SARS-CoV-2 Spike protein binds to the host cell's ACE2 receptor, followed by cleavage events that allow the Spike protein to fuse with the host cell membrane. Thus, the essential role of Spike protein in ACE2 receptor binding and viral fusion makes it a prime target for therapeutic interventions. Method(s): We performed molecular docking and molecular dynamics (MD) simulation-based virtual screening against SARS-CoV-2 RBD/ACE2 interface using a commercial library of 93,835 drug-like compounds. Compounds with promising docking poses and scores were selected for further MD simulation refinement, from which ten lead compounds were identified. Antiviral potencies of ten lead compounds were evaluated against lentiviral vectors pseudotyped with SARS-CoV-2 Spike to down select to a single lead compound, SAI4. ELISA-based assays were employed to determine the binding affinities of SAI4 to recombinant SARS-CoV-2 RBD. Antiviral potential of SAI4 was validated against genuine SARS-CoV-2 in a BSL3 setting. Result(s): We identified SAI4 as a candidate small molecule, which inhibited SARS-CoV-2 pseudovirus entry with IC50 value of ~18 muM. We determined that SAI4 binds RDB with a Kd of ~20 muM. Using cells engineered to express ACE2 and cells that express physiological levels of ACE2, we found that SAI4 inhibited SARS-CoV-2 pseudovirus entry at both engineered and physiological ACE2 levels. We validated the antiviral potential of SAI4 against genuine SARS-CoV-2 and HCoV-NL63. Lastly, we demonstrated antiviral potential of SAI4 against four SARS-CoV-2 variants of concern (alpha, beta, gamma, and delta). Conclusion(s): Using virtual screening, we identified SAI4 as the promising hit compound which displayed inhibitory activities against SARS-CoV-2 entry and its four variants of concern. Thus, our study will pave the way for further development of small molecules for therapeutic targeting of SARS-CoV-2 entry to combat the COVID-19 pandemic.

Investigation of antiviral substances in Covid 19 by Molecular Docking: In Silico Study

Aims: This paper aimed to investigate the antiviral drugs against Sars-Cov-2 main protease (MPro) using in silico methods. Material(s) and Method(s): A search was made for antiviral drugs in the PubChem database and antiviral drugs such as Bictegravir, Emtricitabine, Entecavir, Lamivudine, Tenofovir, Favipiravir, Hydroxychloroquine, Lopinavir, Oseltamavir, Remdevisir, Ribavirin, Ritonavir were included in our study. The protein structure of Sars-Cov-2 Mpro (PDB ID: 6LU7) was taken from the Protein Data Bank (www.rcsb. Org) system and included in our study. Molecular docking was performed using AutoDock/Vina, a computational docking program. Protein-ligand interactions were performed with the AutoDock Vina program. 3D visualizations were made with the Discovery Studio 2020 program. N3 inhibitor method was used for our validation. Result(s): In the present study, bictegravir, remdevisir and lopinavir compounds in the Sars-Cov-2 Mpro structure showed higher binding affinity compared to the antiviral compounds N3 inhibitor, according to our molecular insertion results. However, the favipiravir, emtricitabine and lamuvidune compounds were detected very low binding affinity. Other antiviral compounds were found close binding affinity with the N3 inhibitor. Conclusion(s): Bictegravir, remdevisir and lopinavir drugs showed very good results compared to the N3 inhibitor. Therefore, they could be inhibitory in the Sars Cov-2 Mpro target.Copyright © 2023 Oner E et al.

A novel computational approach for rapid screening of antibody therapeutics for efficacy against SARS-CoV-2 variants of concern including Omicron variant

Multiple severe acute respiratory syndrome coronavirus 2 (SARSCoV- 2) variants continue to evolve carrying flexible amino acid substitutions in the spike protein's receptor binding domain (RBD). These substitutions modify the binding of the SARS-CoV-2 to human angiotensin-converting enzyme 2 (hACE2) receptor and have been implicated in altered host fitness, transmissibility and efficacy against antibody therapeutics and vaccines. Reliably predicting the binding strength of SARS-CoV-2 variants RBD to hACE2 receptor and neutralizing antibodies (NAbs) can help assessing their fitness, and rapid deployment of effective antibody therapeutics, respectively. Here, we introduced a two-step computational framework with threefold validation that first identified dissociation constant as a reliable predictor of binding affinity in hetero-dimeric and -trimeric protein complexes. The second step implements dissociation constant as descriptor of the binding strengths of SARS-CoV-2 variants RBD to hACE2 and NAbs. Then, we examined several variants of concern (VOCs) such as Alpha, Beta, Gamma, Delta, and Omicron and demonstrated that these VOCs RBD bind to the hACE2 with enhanced affinity. Furthermore, the binding affinity of Omicron variant's RBD was reduced with majority of the RBD-directed NAbs, which is highly consistent with the experimental neutralization data. By studying the atomic contacts between RBD and NAbs, we revealed the molecular footprints of four NAbs (GH-12, P2B-1A1, Asarnow-3D11, and C118)-that may likely neutralize the recently emerged omicron variant-facilitating enhanced binding affinity. Finally, our findings suggest a computational pathway that could aid researchers identify a range of current NAbs that may be effective against emerging SARS-CoV-2 variants.

Are Non-Structural Proteins From SARS-CoV-2 the Target of Hydroxychloroquine? An in Silico Study

COVID-19 is caused by SARS-CoV-2 which has structural and non-structural proteins (NSP) essential for infection and viral replication. There is a possible binding of SARS-CoV-2 to the beta-1 chain of hemoglobin in red blood cells and thus, decreasing the oxygen transport capacity. Since hydroxychloroquine (HCQ) can accumulate in red cells, there is a chance of interaction of this drug with the virus. To analyze possible interactions between SARS-CoV-2 NSP and hemoglobin with the HCQ using molecular docking and implications for the infected host. This research consisted of a study using bioinformatics tools. The files of the protein structures and HCQ were prepared using the AutoDock Tools software. These files were used to perform molecular docking simulations by AutoDock Vina. The binding affinity report of the generated conformers was analyzed using PyMol software, as well as the chemical bonds formed. The results showed that HCQ is capable of interacting with both SARS-CoV-2 NSP and human hemoglobin. The HCQ/NSP3 conformer, HCQ/NSP5, HCQ/NSP7-NSP8-NSP12, HCQ/NSP9, HCQ/NSP10-NSP16 showed binding affinity. In addition, the interaction between HCQ and hemoglobin resulted in polar bonds. Interaction between SARS-CoV-2 NSP and HCQ indicates that this drug possibly acts by preventing the continuity of infection.Copyright © 2023 Tehran University of Medical Sciences.

BROAD ANTIBODIES TO FUNCTIONALLY CONSTRAINED REGIONS OF SARS-CoV-2 SPIKE

Background: While remarkable and rapid progress was made in fighting the SARS-CoV-2 pandemic with vaccines and therapeutic antibodies, these approaches were quickly compromised by viral evolution. Therapeutic monoclonal antibodies (mAbs) that were once authorized for clinical use, which all target the receptor binding domain (RBD), are no longer effective against current variants of concern (VOCs) due to mutations in this region of Spike. Thus, to achieve durable protection against SARS-CoV-2, novel mAbs need to show breadth and potency across VOCs and target epitopes that are more constrained. Method(s): mAbs from an individual who had a breakthrough Delta VOC infection after vaccination were isolated from Spike-specific memory B cells. mAbs were assessed for binding affinity and neutralization potency using Spike-pseudotyped lentivirus (PSV) and live SARS-CoV-2 virus neutralization assays. Epitopes were mapped using deep mutational sequencing (DMS) and structural-based methods. Result(s): Three novel mAbs (C68.3, C68.13, C68.59) demonstrated binding breadth to Spikes from various VOCs including Omicron VOCs despite that C68 had not yet been exposed to Omicron. These mAbs potently neutralized the Wuhan-Hu-1 vaccine and Delta strains (IC50 = 9-61ng/mL), and early Omicron strains BA.1, BA.2, BA.5 (IC50 = 12-149 ng/mL). C68.3 and C68.59 retained potency against recent VOCs BQ.1.1 and XBB (IC50 = 121-122 ng/mL and 56-82 ng/mL, respectively) in the PSV assay. Similar neutralization activity was observed in the live virus assay. The potency of these mAbs was greater against Omicron VOCs than all but one of the mAbs previously authorized for treatment and they showed greater breadth. The mAbs target distinct epitopes on the Spike glycoprotein, two in the RBD (C68.3, C68.13) and one in an invariant region downstream of RBD in subdomain 1 (SD1) (C68.59). Structural analysis of C68.59 Fab binding to Spike trimer revealed significant allosteric changes to regions of Spike outside of the epitope in the S2 unit. Finally, DMS escape pathways showed these mAbs target regions highly conserved across VOCs that are also functionally constrained, suggesting escape could incur a fitness cost. Conclusion(s): Overall, these mAbs are novel in their breadth across VOCs and include a potent mAb targeting a rare epitope outside of the RBD in SD1. These mAbs focus on diverse, functionally constrained regions in Spike making them candidates for development as combination therapeutics with good durability against future VOCs.

The SARS-CoV-2 Nsp13 Helicase Required for Coronavirus Replication Interacts with Structured Nucleic Acids in a Strand-Specific Manner and Catalyzes a Novel Protein-RNA Remodeling Activity Implicated in the Proofreading Mechanism of the Replication-Transc

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a single-stranded, positive-sense RNA virus responsible for COVID-19, requires a set of virally encoded nonstructural proteins that compose a replication-transcription complex (RTC) to replicate its 30 kilobase genome. One such nonstructural protein within the RTC is Nsp13, a highly conserved molecular motor ATPase/helicase. Upon purification of the recombinant SARS-CoV-2 Nsp13 protein expressed using a eukaryotic cell-based system, we biochemically characterized the enzyme by examining its catalytic functions, nucleic acid substrate specificity, and putative protein-nucleic acid remodeling activity. We determined that Nsp13 preferentially interacts with single-stranded (ss) DNA compared to ssRNA during loading to unwind with greater efficiency a partial duplex helicase substrate. The binding affinity of Nsp13 to nucleic acid was confirmed through electrophoretic mobility shift assays (EMSA) by determining that Nsp13 binds to DNA substrates with significantly greater efficiency than RNA. These results demonstrate strand-specific interactions of SARS-CoV-2 Nsp13 that dictate its ability to load and unwind structured nucleic acid substrates. We next determined that Nsp13 catalyzed unwinding of double-stranded (ds) RNA forked duplexes on substrates containing a backbone disruption (neutrally charged polyglycol linker (PGL)) was strongly inhibited when the PGL was positioned in the 5' ssRNA overhang, suggesting an unwinding mechanism in which Nsp13 is strictly sensitive to perturbation of the translocating strand sugar-phosphate backbone integrity. Furthermore, we demonstrated for the first time the ability of the coronavirus Nsp13 helicase to disrupt a high-affinity nucleic acid-protein interaction, i.e., a streptavidin tetramer bound to biotinylated RNA or DNA substrate, in a uni-directional manner and with a preferential displacement of the streptavidin complex from biotinylated ssDNA versus ssRNA. In contrast to the poorly hydrolysable ATP-gamma-S or non-hydrolysable AMP-PNP, ATP supports Nsp13-catalyzed disruption of the nucleic acidprotein complex, suggesting that nucleotide binding by Nsp13 is not sufficient for protein-RNA disruption and the chemical energy of nucleoside triphosphate hydrolysis is required to fuel remodeling of protein bound to RNA or DNA. Our results build upon structural studies of the SARS-CoV-2 RTC in which it was suggested that Nsp13 pushes the RNA polymerase (Nsp12) backward on the template RNA strand. Experimental evidence from our studies demonstrate that Nsp13 helicase efficiently remodels a large high affinity protein-RNA complex in a manner dependent on its intrinsic ATP hydrolysis function. We proposed that this novel biochemical activity of Nsp13 is relevant to its role in SARS-CoV-2 RNA processing functions and replication. It was proposed that Nsp13 facilitates proofreading during coronavirus replication when a mismatched base is inadvertently incorporated into the SARS-CoV-2 genome during replication to reposition the RTC so that the proofreading nuclease complex (Nsp14-Nsp10) can gain access and remove the nascently synthesized nucleotide to ensure polymerase fidelity. Our findings implicate a direct catalytic role of Nsp13 in protein-RNA remodeling during coronavirus genome replication beyond its duplex strand separation or structural stabilization of the RTC, yielding new insight into the proofreading mechanism. This work was supported by the Intramural Training Program, National Institute on Aging (NIA), NIH, and a Special COVID-19 Grant from the Office of the Scientific Director, NIA, NIH.Copyright © 2023 The American Society for Biochemistry and Molecular Biology, Inc.

Towards New Antimicrobials - Targeting Bacterial Response Regulators

Purpose of Study: Antibiotic resistance remains one of the largest healthcare and public health challenges. Several studies have documented that the spread of antibiotic resistant bacteria in nosocomial settings has been exacerbated worldwide due to increased rates of hospitalization and intubation in the wake of the COVID-19 pandemic. One way to address antibiotic resistance is to identify novel compounds that inhibit essential microbial processes. Two-component regulatory systems are important mediators of signal transduction that allow bacteria to communicate with and respond to changes in their environment. The WalRK system is a two-component system that is conserved and essential for viability in many Gram-positive human pathogens. We hypothesize that a ligand that specifically binds with the DNA-interaction surface of the WalR protein can lead to cell death and can serve as a lead compound for future drug development efforts. Methods Used: We describe the development process of an assay to identify WalR binding compounds. In silico molecular dynamics docking approaches were utilized to identify potential WalR binding compounds from virtual compound libraries. To assess their WalR-binding capacity in vitro, overexpression strains for several WalR recombinant constructs were engineered and protein constructs were purified to homogenicity. Isothermal titration calorimetry (ITC) is a technique that measures heat release or absorption when two molecules interact. A MicroCal PEAQ ITC instrument was utilized to develop a WalR-binding assay. Summary of Results: WalR is a two-domain protein featuring a regulatory and a DNA-binding domain. Two constructs, a truncated DNA-binding domain and a full-length protein construct proved soluble, and pure quantities necessary to conduct ITC measurements could be successfully obtained (12 mg full-length protein and 23 mg truncated protein). These proteins were amenable to ITC experiments. We found that experiments were best run with at least a two-fold increase of ligand concentration to protein concentration supplied in identical buffer conditions over nineteen injections. We are currently assessing the binding affinities of our in silico hit compounds. Conclusion(s): Our results show that ITC enables the detailed, rapid, and reproducible characterization of the binding relationship between the DNA-binding domain of the WalR protein and any potential ligands. The protocol discussed herein will enable further drug discovery studies on the WalR response regulator protein to identify and characterize inhibitors, providing insight towards the development of novel antimicrobial compound.

HLA binding-groove motifs are associated with myocarditis induction after Pfizer-BioNTech BNT162b2 vaccination

We found a higher incidence of myocarditis in young males who had received Pfizer-BioNTech BNT162b2 vaccinations as compared with historical controls and unvaccinated individuals. The analyses focused on risk following the first and second vaccine in adults and adolescents, as well as risk in adults following the third (booster) vaccine. Males, mainly aged 12-30 years, were found to be at higher risk. However, the question remains what causes lead one specific young male, but not another, to develop post-vaccination myocarditis. The HLA molecule is known to play an important role in infectious and auto-inflammatory diseases. We hypothesized that differences in HLA alleles could lead to either protection or susceptibility to vaccination-induced myocarditis. On this basis, HLA typing was performed using next-generation sequencing technology for the HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1 loci, in 21 wellcharacterized patients who developed myocarditis after the second Pfizer BNT162b2 vaccination. The HLA genotypes were compared with high-resolution HLA data of 272 healthy controls from the Hadassah Bone Marrow registry samples, who are representative of HLA frequencies in the Israeli population. Our findings demonstrated that in HLA class II, DRB1*14:01 (19.04% vs. 5.3%, Pcorr = 0.028, OR = 4.17), HLA-DQB1*05:03 (19.04% vs. 6.06%, Pcorr = 0.034, OR = 3.64) and DRB1*15:03 (7.14% vs. 0.0%, Pcorr = 0.003, OR = 41.76) were significantly associated with disease susceptibility. We further discovered susceptibility motifs in the HLA-DR peptidebinding grooves: His60 (Pcorr0.01, OR = 3.52) and Arg70 (Pcorr = 0.0047, OR = 3.43). Our findings suggest that immunogenetic fingerprints in HLA peptide-binding grooves may have changed the binding affinity of different peptides derived from the Pfizer-BioNTech BNT162b2 vaccination, and induced myocarditis.

Study on Molecular Docking of 'Nucleocapsid (N) Protein of Sars-Cov-2' and 'Mcf-7'

The process of eliminating viral infection and massive control from spreading furthermore by any variants may lead to a pandemic in the near future. On the other aspect, the impact of eradicating by the initial stage to prevent, treat carcinoma to decline the affected and death rate to maximum amount by Molecular Docking. The quickest and easiest method to search out the potential drugs is by analyzing the ligand-protein interactions compared to the traditional ways. Drugs of antivirals and anti-cancer drugs are given for treating viral infections and cancers. Massive kinds of viruses affect humans with several diseases, from self-curable diseases to acute mortal diseases. In cancer, the diseases are known by the cells within humans;multiplication occurs and forming the tumors of malignant cells with the flexibility to be a pathological process. Herbal medicines are known to play enormous role by giving initial priority. Various plant species are being employed to cure or prevent viral infections and cancers. Molecular docking provides a fast understanding of the ligand's exploration of conformations, poses among drug targets' binding sites, and predicts the binding affinity of protein-ligand. Its main approach is to spot top-ranked conformations on compounds and means of docking to the active site of target of interest. Intake of naturally suggested fruits and vegetables leads to the goal of decreasing the death rate, and the count of females who are liable to breast cancers.Copyright All © 2023 are reserved by International Journal of Pharmaceutical Sciences and Research.

Curcumin from Curcuma longa L. as Dual Inhibitors Against Indonesian SARS-CoV-2 Isolates: A Molecular Docking Study

COVID-19 has become a global pandemic since 2020. The search for promising drugs based on the abundant herbal ingredients in Indonesia is one of the breakthroughs. Curcumin is a chemical compound with various potentials such as antioxidant, anti-inflammatory and antiviral. We conducted a molecular docking analysis to determine the potential of curcumin against SARS-CoV-2 non-structural and structural proteins, such as the main protease and spike protein. This study used the compound of curcumin (PubChem CID: 969516) from Curcuma longa L. or turmeric and two Indonesian SARS-CoV-2 isolates that have been deposited in the GISAID database (hCoV-19/Indonesia/JI-PNF-217315/2021 - EPI_ ISL_12777089 or lineage B.1.617.2 and hCoV-19/Indonesia/JI-PNF-211373/2021 - EPI_ISL_6425649 or lineage B.1.470). In addition, we used molnupiravir (PubChem CID: 145996610) as a drug control. We performed molecular docking analysis with PyRx software 0.9.9 (academic license) and visualization of molecular docking results with PyMOL software 2.5.4 (academic license). The results of this study found that curcumin had good potential against main protease and spike protein compared to the drug (control). In summary, we suggested that curcumin is a potential drug candidate against SARS-CoV-2. However, there is a need for future wet laboratory-based pre-clinical research such as in vitro and in vivo.Copyright © 2023 Phcogj.Com.

Molecular Docking and Dynamics of Phytochemicals From Chinese Herbs With SARS-CoV-2 RdRp

The novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is causing coronavirus disease 2019 (COVID-19) pandemic. Ancient Chinese herbal formulas are effective for diseases caused by viral infection, and their effects on COVID-19 are currently being examined. To directly evaluate the role of Chinese herbs in inhibiting replication of SARS-CoV-2, we investigated how the phytochemicals from Chinese herbs interact with the viral RNA-dependent RNA polymerase (RdRP). Total 1025 compounds were screened, and then 181compounds were selected for molecular docking analysis. Four phytochemicals licorice glycoside E, diisooctyl phthalate, (-)-medicocarpin, and glycyroside showed good binding affinity with RdRp. The best complex licorice glycoside E/RdRp forms 3 hydrogen bonds, 4 hydrophobic interactions, 1 pair of Pi-cation/stacking, and 4 salt bridges. Furthermore, docking complexes licorice glycoside E/RdRp and diisooctyl phthalate/RdRp were optimized by molecular dynamics simulation to obtain the stable conformation. These studies indicate that they are promising as antivirals against SARS-CoV-2.Copyright © The Author(s) 2022.

In Silico Analysis of Bioactive Compounds from Sea Urchin (Echinometra mathaei) against SARS-COV-2

SARS-CoV-2 is a kind of coronavirus that produces Covid-19 illness, which is still a public health concern in Indonesia. Meanwhile, an effective drug has not yet been found and although vaccination has been carried out, in several regions and neighboring countries there is still an increase in Covid-19 cases. This study aimed to obtain bioactive compounds from sea urchins (Echinometra mathaei) that have greater antiviral potential and lower toxicity than remdesivir. This research was started by predicting druglikeness with SwissADME, followed ADMET predicition with pkCSM online, and docking of molecule using the Molegro Virtual Docker (MVD) 5.5 software against the main protease (Mpro) target (PDB ID: 6W63). The results showed that six compounds from sea urchins (Echinometra mathaei) had antiviral activity, where the bioactive compound from sea urchins (Echinometra mathaei) with the highest affinity was shown by Spinochrome C a smaller rerank score compared with Remdesivir and native ligand (X77). So that Spinochrome C compounds are candidates as SARS-CoV-2 inhibitors potential developed drug.Copyright Published by Oriental Scientific Publishing Company © 2023.

Binding affinity improvement analysis of multiple-mutant Omicron on 2019-nCov to human ACE2 by in silico predictions.

CONTEXT: Since the outbreak of COVID-19 in 2019, the 2019-nCov coronavirus has appeared diverse mutational characteristics due to its own flexible conformation. One multiple-mutant strain (Omicron) with surprisingly infective activity outburst, and affected the biological activities of current drugs and vaccines, making the epidemic significantly difficult to prevent and control, and seriously threaten health around the world. Importunately exploration of mutant characteristics for novel coronavirus Omicron can supply strong theoretical guidance for learning binding mechanism of mutant viruses. What's more, full acknowledgement of key mutated-residues on Omicron strain can provide new methodology of the novel pathogenic mechanism to human ACE2 receptor, as well as the subsequent vaccine development. METHODS: In this research, 3D structures of 32 single-point mutations of 2019-nCov were firstly constructed, and 32-sites multiple-mutant Omicron were finally obtained based one the wild-type virus by homology modeling method. One total number of 33 2019-nCov/ACE2 complex systems were acquired by protein-protein docking, and optimized by using preliminary molecular dynamic simulations. Binding free energies between each 2019-nCov mutation system and human ACE2 receptor were calculated, and corresponding binding patterns especially the regions adjacent to mutation site were analyzed. The results indicated that one total number of 6 mutated sites on the Omicron strain played crucial role in improving binding capacities from 2019-nCov to ACE2 protein. Subsequently, we performed long-term molecular dynamic simulations and protein-protein binding energy analysis for the selected 6 mutations. 3 infected individuals, the mutants T478K, Q493R and G496S with lower binding energies -66.36, -67.98 and -67.09 kcal/mol also presents the high infectivity. These findings indicated that the 3 mutations T478K, Q493R and G496S play the crucial roles in enhancing binding affinity of Omicron to human ACE2 protein. All these results illuminate important theoretical guidance for future virus detection of the Omicron epidemic, drug research and vaccine development.