IDDF2023-ABS-0045 Spatiotemporal immune landscape of Mas-driven pro-inflammatory microenvironment with hyperactivated glycolysis in acetaminophen-induced liver injury

IDDF2023-ABS-0045 Figure 1 IDDF2023-ABS-0045 Figure 2 IDDF2023-ABS-0045 Figure 3 IDDF2023-ABS-0045 Figure 4

Looking for SARS-CoV-2 therapeutics through computational approaches.

BACKGROUND: In the last few years in silico tools, including drug repurposing coupled with structure-based virtual screening, have been extensively employed to look for anti-COVID-19 agents. OBJECTIVE: The present review aims to provide readers with a portrayal of computational approaches that could conduct more quickly and cheaply to novel anti-viral agents. Particular attention is given to docking-based virtual screening. METHOD: The World Health Organization website was consulted to gain the latest information on SARS-CoV-2, its novel variants and their interplay with COVID-19 severity and treatment options. The Protein Data Bank was explored to look for 3D coordinates of SARS-CoV-2 proteins in their free and bound states, in the wild-types and mutated forms. Recent literature related to in silico studies focused on SARS-CoV-2 proteins was searched through PubMed. RESULTS: A large amount of work has been devoted thus far to computationally targeting viral entry and searching for inhibitors of the S-protein/ACE2 receptor complex. Another large area of investigation is linked to in silico identification of molecules able to block viral proteases -including Mpro- thus avoiding maturation of proteins crucial for virus life cycle. Such computational studies have explored the inhibitory potential of the most diverse molecule databases (including plant extracts, dietary compounds, FDA approved drugs). CONCLUSION: More efforts need to be dedicated in the close future to experimentally validate the therapeutic power of in silico identified compounds in order to catch, among the wide ensemble of computational hits, novel therapeutics to prevent and/or treat COVID-19.

Design of novel pyrimidine based remdesivir analogues with dual target specificity for SARS CoV-2: A computational approach.

As the world undergone unpreceded time of tragedy with the corona virus, many researchers have raised to showcase their scientific contributions in terms of novel configured anti-viral drugs until now. Herein, we designed pyrimidine based nucleotides and assessed for the binding capability with SARS-CoV-2 viral replication targets of nsp12 RNA-dependent RNA polymerase and Mpro main protease. Molecular docking studies showed all the designed compounds to possess good binding affinity, with a few compounds which outperforms the control drug remdesivir GS-5743 and its active form GS-441524. Further molecular dynamics simulation studies confirmed their stability and preservation of the non-covalent interactions. Based on the present findings Ligand2-BzV_0Tyr, ligand3-BzV_0Ura, and ligand5-EeV_0Tyr showed good binding affinity with Mpro, whereas, ligand1-BzV_0Cys and Ligand2-BzV_0Tyr showed good binding affinity with RdRp, thus could act as potential lead compounds against SARS-CoV-2, which needs further validation studies. In particular, Ligand2-BzV_0Tyr could be more beneficial candidate with the dual target specificity for Mpro and RdRp.

Screening the binding affinity of bile acid derivatives for the glucocorticoid receptor ligand-binding domain

The necessity of anti-inflammatory drugs such as glucocorticoids has been evident during the COVID-19 pandemic. Glucocorticoids, are the standard therapy for the treatment of moderate and severe COVID-19 patients. However, serious side effects limit the use of these drugs, and anti-inflammatory drugs with better pharmacological properties are urgently required. Bile acids are of interest, because of their anti-inflammatory and immunomodulatory properties, facilitated through an unclear mechanism involving transmembrane and nuclear receptors. In this work, we screened the binding activity of a number of bile acid derivatives, for the ligand-binding domain of glucocorticoid receptor (GR-LBD), the most important receptor for anti-inflammatory processes. Tested compounds include oximes, lactones, lactams, tetrazoles, dienones, C-24 alcohols and cholic acid amides. Cholic acid oxime, deoxycholic acid dienone, 3-keto-24-cholic alcohol and cholic acid amide showed best binding affinities for GR-LBD among tested compounds. The in silico molecular docking explanation is provided. SAR analysis showed that expansion of B and C steroid rings or attachment of heterocycle to C ring is not beneficial for binding;side chain should contain hydrogen donor group;the GR-LBD tolerate well different functionalities on C-3 position. These results provide valuable information toward synthesis of the new glucocorticoids based on bile acids. © 2023 Serbian Chemical Society. All rights reserved.

Design and Synthesis of Vitamin Drug Conjugate for its Probable Potential against SARS-COV-2 Infections

The novel corona virus infection had become a global epidemic due to its rapid spread. So, there is an urgent need to treat COVID-19 patients. The aim of this research was to hypothesize and examine vitamin drug conjugate as targeted moiety. The present scaffold may have potential role to fight against COVID-19 infection due to its antimicrobial, antioxidants and immunomodulatory activities. Here, we've highlighted the term Vitamin Drug Conjugate as possible therapy approach for SARS-COV-2 infection. As a result, we synthesize, characterized, and evaluated a Hydroxychloroquine — Folic Acid conjugate (HCQ-FA) by esterification mechanism to provide effective treatment against SARS-CoV-2 infection by enhancing therapeutic effect through synergistic mechanism, masking undesired side effects, and improving cellular internalization. By using prodrug, the efficacy and bioavailability of existing antiviral drugs could be improved. The structure of the conjugate was determined by spectroscopic data like IR, NMR, and mass spectra, which indicates that HCQ-FA conjugate formed by esteric conjugation. Molecular docking studies revealed that HCQ-FA conjugate shows good level of docking as well as binding interaction with main protease moiety. Molecular dynamic stimulation revealed that this conjugate shows good stability at the binding site of SARS main protease moiety and exhibits inhibitory activity against COVID-19 infection. © 2022 The Authors.

NOVEL SERIES OF THIAZOLE-BASED COMPLXES, CHARACTERIZATION, STRUCTURAL OPTIMIZATION, IN-VITRO AND IN-SILICO ASSESSMENTS AGAINST COVID-19 VIRUS COMPARED TO PALXLOVID DRUG

New thiazole-based complexes were prepared and suggested to be 1:1 metal to ligand ratio. This formula was built depending on different analyses. Various spectroscopic tools were used to confirm the mode of bonding for the ligand towards the metal ions. The ligand behaved as a neutral bidentate mode towards Cu(II), Co(II) and Ni(II) ions. The DFT method was applied to confirm the nucleophilicity of O(13) and N(2) atoms which qualified for excellent coordination. The new compounds were in-silico tested against 6lu7 and 6lzg as the main protease complex of COVID-19 and the receptor of coronavirus spike, respectively. This is according to the recent use of a thiazole-based compound (ritonavir) in treatment of COVID-19. This study was extended to handle the paxlovid antiviral (nirmatrelvir and ritonavir) in comparing to new compounds. The ritonavir drug as well as the Co(II) complex appeared as promising inhibitors. To deepen the study, we tested the cytotoxicity of the complexes and interestingly, the Co(II) complex showed a vital inhibition for liver and prostate cancers which exceeds 5-fluorouracil drug. © 2023 Chemical Society of Ethiopia and The Authors.

It isn't over ‘till it's over: A continuing concern of the SARS-CoV-2 variants, and miRNAs targeting the S protein as a probable absolute cure

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak which still continues to affect the general population, has mutated day by day and new variants have emerged. More than 40 variants, usually caused by mutations in the spike (S) protein, have been recorded. Observation of S protein mutations in the development of t herapeutic agents will increase success rates. As we identify the three-dimensional (3D) conformation of viruses, it is more and more possible to work on models for understanding molecular interactions. Development of agents for arrays and 3D sequencing of proteins paves the way for potential therapeutic studies against variants. MicroRNAs (miRNAs) seemingly act as a potentially important group of biomolecules in combating uncontrolled cytokine release. Besides antiviral response, miRNAs promise to be powerful therapeutic agents against infections. Studies have shown that miRNAs are able to inhibit the genome directly by miRNA-based treatments as they are sprecific to the SARS-CoV-2 genome. In order to expose this potential, in silico studies before continuing with lab studies are helpful. In our bioinformatics analysis, we proposed to compare the S protein similarities of Delta and Omicron, two of the most common variants, and to detect miRNAs targeting the S protein. The S proteins and coding sequences were compared between the two variants, and differences were determined. Within our analysis, 105 and 109 miRNAs for the Delta and Omicron variants, respectively, were detected.We believe that our study will be a potential guide for deciding on the miRNAs that may most likely have an effect on the management of the infection caused by both variants.

Screening the binding affinity of bile acid derivatives for the glucocorticoid receptor ligand-binding domain

The necessity of anti-inflammatory drugs such as glucocorticoids has been evident during the COVID-19 pandemic. Glucocorticoids, are the standard therapy for the treatment of moderate and severe COVID-19 patients. However, serious side effects limit the use of these drugs, and anti-inflammatory drugs with better pharmacological properties are urgently required. Bile acids are of interest, because of their anti-inflammatory and immunomodulatory properties, facilitated through an unclear mechanism involving trans membrane and nuclear receptors. In this work, we screened the binding activity of a number of bile acid derivatives, for the ligand-binding domain of glucocorticoid receptor (GR-LBD), the most important receptor for anti-inflammatory processes. Tested compounds include oximes, lactones, lactams, tetrazoles, dienones, C-24 alcohols and cholic acid amides. Cholic acid oxime, deoxycholic acid dienone, 3-keto-24-cholic alcohol and cholic acid amide showed best binding affinities for GR-LBD among tested compounds. The in silico molecular docking explanation is provided. SAR analysis showed that expansion of B and C steroid rings or attachment of heterocycle to C ring is not beneficial for binding;side chain should contain hydrogen donor group;the GR-LBD tolerate well different functionalities on C-3 position. These results provide valuable information toward synthesis of the new glucocorticoids based on bile acids.

A bias of Asparagine to Lysine mutations in SARS-CoV-2 outside the receptor binding domain affects protein flexibility.

Introduction: COVID-19 pandemic has been threatening public health and economic development worldwide for over two years. Compared with the original SARS-CoV-2 strain reported in 2019, the Omicron variant (B.1.1.529.1) is more transmissible. This variant has 34 mutations in its Spike protein, 15 of which are present in the Receptor Binding Domain (RBD), facilitating viral internalization via binding to the angiotensin-converting enzyme 2 (ACE2) receptor on endothelial cells as well as promoting increased immune evasion capacity. Methods: Herein we compared SARS-CoV-2 proteins (including ORF3a, ORF7, ORF8, Nucleoprotein (N), membrane protein (M) and Spike (S) proteins) from multiple ancestral strains. We included the currently designated original Variant of Concern (VOC) Omicron, its subsequent emerged variants BA.1, BA2, BA3, BA.4, BA.5, the two currently emerging variants BQ.1 and BBX.1, and compared these with the previously circulating VOCs Alpha, Beta, Gamma, and Delta, to better understand the nature and potential impact of Omicron specific mutations. Results: Only in Omicron and its subvariants, a bias toward an Asparagine to Lysine (N to K) mutation was evident within the Spike protein, including regions outside the RBD domain, while none of the regions outside the Spike protein domain were characterized by this mutational bias. Computational structural analysis revealed that three of these specific mutations located in the central core region, contribute to a preference for the alteration of conformations of the Spike protein. Several mutations in the RBD which have circulated across most Omicron subvariants were also analysed, and these showed more potential for immune escape. Conclusion: This study emphasizes the importance of understanding how specific N to K mutations outside of the RBD region affect SARS-CoV-2 conformational changes and the need for neutralizing antibodies for Omicron to target a subset of conformationally dependent B cell epitopes.

Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern.

BACKGROUND: The genome of SARS-CoV-2, is mutating rapidly and continuously challenging the management and preventive measures adopted and recommended by healthcare agencies. The spike protein is the main antigenic site that binds to the host receptor hACE-2 and is recognised by antibodies. Hence, the mutations in this site were analysed to assess their role in differential infectivity of lineages having these mutations, rendering the characterisation of these lineages as variants of concern (VOC) and variants of interest (VOI). METHODS: In this work, we examined the genome sequence of SARS-CoV-2 VOCs and their phylogenetic relationships with the other PANGOLIN lineages. The mutational landscape of WHO characterized variants was determined and mutational diversity was compared amongst the different severity groups. We then computationally studied the structural impact of the mutations in receptor binding domain of the VOCs. The binding affinity was quantitatively determined by molecular dynamics simulations and free energy calculations. RESULTS: The mutational frequency, as well as phylogenetic distance, was maximum in the case of omicron followed by the delta variant. The maximum binding affinity was for delta variant followed by the Omicron variant. The increased binding affinity of delta strain followed by omicron as compared to other variants and wild type advocates high transmissibility and quick spread of these two variants and high severity of delta variant. CONCLUSION: This study delivers a foundation for discovering the improved binding knacks and structural features of SARS-CoV-2 variants to plan novel therapeutics and vaccine candidates against the virus.

A molecular dynamic investigation of human rhinovirus 3c protease drug target: insights towards the design of potential inhibitors

The 3C protease is distinguished from most proteases due to the presence of cysteine nucleophile that plays an essential role in viral replication. This peculiar structure encompassed with its role in viral replication has promoted 3C protease as an interesting target for therapeutic agents in the treatment of diseases caused by human rhinovirus (HRV). However, the molecular mechanisms surrounding the chirality of inhibitors of HRV 3C protease remain unresolved. Herein using in silico techniques such molecular dynamic simulation and binding free estimations via molecular mechanics poisson-boltzmann surface area (MM/PBSA), we present a comprehensive molecular dynamics study of the comparison of two potent inhibitors, SG85 and rupintrivir, complexed with HRV3C protease. The binding free energy studies revealed a higher binding affinity for SG85 of 58.853 kcal/mol than that for rupintrivir of 54.0873 kcal/mol and this was found to be in correlation with the experimental data. The energy decomposition analysis showed that residues Leu 127, Thr 142, Ser 144, Gly 145, Tyr 146, Cys 147, His 161, Val 162, Gly 163, Gly 164, Asn 165, and Phe 170 largely contributed to the binding of SG85, whereas His 40, Leu 127, and Gly 163 impacted the binding of rupintrivir. The results further showed that His 40, Glu 71, Leu 127, Cys 147, Gly 163, and Gyl 164 were crucial residues that played a key role in ligand-enzyme binding, and amongst these crucial residues, His 40, Glu 71, and Cys 147 appeared to be conserved in the active site of HRV-3C protease when bound by both inhibitors. These findings provided a comprehensive understanding of the dynamics and structural features and would serve as guidance in the design and development of potent novel inhibitors of HRV.

Exploring the pH dependence of the SARS‐CoV‐2 complete fusion domain and the role of its unique structural features

SARS‐CoV‐2 may enter target cells through the process of membrane fusion at either the plasma (~pH 7.4–7.0) or endosomal (~pH 6.5–5.0) membrane in order to deliver its genetic information. The fusion domain (FD) of the spike glycoprotein is responsible for initiating fusion and is thus integral to the viral life cycle. The FD of SARS‐CoV‐2 is unique in that it consists of two structurally distinctive regions referred to as the fusion peptide (FP) and the fusion loop (FL);yet the molecular mechanisms behind how this FD perturbs the membrane to initiate fusion remains unclear. In this study via solution NMR, we witnessed only a slight conformational change in the FD between pH 7.4 and pH 5.0, resulting in a minor elongation of helix 1. However, we found that the FD's ability to mediate membrane fusion has a large and significant pH dependence, with fusion events being more readily induced at low pH. Interestingly, a biphasic relationship between the environmental pH and fusogenicity was discovered, suggesting a preference for the FD to initiate fusion at the late endosomal membrane. Furthermore, the conserved disulfide bond and hydrophobic motif “LLF” were found to be critical for the function of the complete FD, with minimal activity witnessed when either was perturbed. In conclusion, these findings indicate that the SARS‐CoV‐2 FD preferably initiates fusion at a pH similar to the late endosome through a mechanism that heavily relies on the internal disulfide bond of the FL and hydrophobic LLF motif within the FP.

Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products

The atmospheric molecular number density can be obtained from atmospheric temperature and pressure profiles and is a significant input parameter for the inversion of lidar measurements. When measurements of vertical profiles of temperature and pressure are not available, atmospheric models are typically considered a valid alternative option. This paper investigates the influence of different atmospheric models (forecast and reanalysis) on the retrieval of aerosol optical properties (extinction and backscatter coefficients) by applying Raman and elastic-only methods to lidar measurements, to assess their use in lidar data processing. In general, reanalyzes are more accurate than forecasts, but, typically, they are not delivered in time for allowing near-real-time lidar data analysis. However, near-real-time observation is crucial for real-time monitoring of the environment and meteorological studies. The forecast models used in the paper are provided by the Integrated Forecasting System operated by the European Centre for Medium-Range Weather Forecasts (IFS_ECMWF) and the Global Data Assimilation System (GDAS), whereas the reanalysis model is obtained from the fifth-generation European Centre for Medium-Range Weather Forecasts ReAnalysis v5 (N1 -https://media.proquest.com/media/hms/PFT/1/TPT6N?_a=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%3D%3D&_s=Os82DX%2BaBlhnLe1wnAEkKTgdQ4M%3D ERA5). The lidar dataset consists of measurements collected from four European Aerosol Research Lidar Network (EARLINET) stations during two intensive measurement campaigns and includes more than 200 cases at wavelengths of 355 nm, 532 nm, and 1064 nm. We present and discuss the results and influence of the forecast and reanalysis models in terms of deviations of the derived aerosol optical properties. The results show that the mean relative deviation in molecular number density is always below ±3%, while larger deviations are shown in the derived aerosol optical properties, and the size of the deviation depends on the retrieval method together with the different wavelengths. In general, the aerosol extinction coefficient retrieval is more dependent on the model used than the aerosol backscatter retrievals are. The larger influence on the extinction retrieval is mainly related to the deviation in the gradient of the temperature profile provided by forecast and reanalysis models rather than the absolute deviation of the molecular number density. We found that deviations in extinction were within ±5%, with a probability of 83% at 355 nm and 60% at 532 nm. Moreover, for aerosol backscatter coefficient retrievals, different models can have a larger impact when the backscatter coefficient is retrieved with the elastic method than when the backscatter coefficient is calculated using the Raman method at both 355 nm and 532 nm. In addition, the atmospheric aerosol load can also influence the deviations in the aerosol extinction and backscatter coefficients, showing a larger impact under low aerosol loading scenarios.

Insights into the Antimicrobial, Antioxidant, Anti-SARS-CoV-2 and Cytotoxic Activities of Pistacia lentiscus Bark and Phytochemical Profile; In Silico and In Vitro Study.

Foodborne infections and antibiotic resistance pose a serious threat to public health and must be addressed urgently. Pistacia lentiscus is a wild-growing shrub and has been utilized for medicinal applications as well as for culinary purposes. The antibacterial and antioxidant activities of P. lentiscus bark in vitro, as well as the phytochemical composition, are the focus of this inquiry. The bark extract of P. lentiscus showed significant antimicrobial activity in experiments on bacteria and yeast isolated from human and food sources. The exposure time for the complete inhibition of cell viability of P. aeruginosa in the extracts was found to be 5% at 15 min. Phytochemical inquiry of the methanol extract demonstrates the existence of carbohydrates, flavonoids, tannins, coumarins, triterpenes, and alkaloids. Deep phytochemical exploration led to the identification of methyl gallate, gallic acid, kaempferol, quercetin, kaempferol 3-O-α-rhamnoside, kaempferol 3-O-ß-glucoside, and Quercetin-3-O-ß-glucoside. When tested using the DPPH assay, the methanol extracts of P. lentiscus bark demonstrated a high free radical scavenging efficiency. Further, we have performed a molecular modelling study which revealed that the extract of P. lentiscus bark could be a beneficial source for novel flavonoid glycosides inhibitors against SARS-CoV-2 infection. Taken together, this study highlights the Pistacia lentiscus bark methanol extract as a promising antimicrobial and antiviral agent.

Problems of Red Blood Cell Aggregation and Deformation Assessed by Laser Tweezers, Diffuse Light Scattering and Laser Diffractometry

This study aims to highlight the problems with implementing optical techniques (laser tweezers, diffuse light scattering and laser diffractometry) in clinical hemorheological practice. We provide the feasibility of these techniques to assess microrheological effects of various molecular mechanisms affecting RBC aggregation and deformability. In particular, we show that they allow assessment of changes in RBC aggregation in whole blood samples both on the level of single cells and on the level of large ensembles of cells. Application of these methods allows for studying the mechanisms of RBC aggregation because they are sensitive to changes in the medium which surrounds the RBC (i.e., blood plasma, serum or model solutions of blood plasma proteins) and to changes in the cellular properties of RBCs (i.e., effects on the cell membrane due to glycoprotein inhibition).

Mutational Analysis of Interleukin-11 and its Consequences on Cancer and COVID-19 Related Cytokine Storm -An Extensive Molecular Dynamics Study.

BACKGROUND: Interleukin-11 is a pleiotropic cytokine that is known to play an important role in the progression of various forms of cancer by modulating the survival and proliferation of tumour cells. IL11 also demonstrates a structural homology to IL6, the predominant cytokine involved in COVID-19. This makes IL11 a potential therapeutic target in both diseases. OBJECTIVE: This study aimed to evaluate the impact of the two-point mutations, R135E and R190E, on the stability of IL11 and their effect on the binding affinity of IL11 with its receptor IL11Rα. It is a molecular level analysis based on the existing experimental validation. METHODS: Computer-aided drug designing techniques, such as molecular modelling, molecular docking, and molecular dynamics simulations, were employed to determine the consequential effects of the two-point mutations. RESULTS: Our analysis revealed that the two mutations led to a decrease in the overall stability of IL11. This was evident by the increased atomic fluctuations in the mutated regions as well as the corresponding elevation in the deviations seen through RMSD and Rg values. It was also accompanied by a loss in the secondary structural organisation in the mutated proteins. Moreover, mutation R135E led to an increase in the binding affinity of IL11 with IL11Rα and the formation of a more stable complex in comparison to the wild-type protein with its receptor. CONCLUSION: Mutation R190E led to the formation of a less stable complex than the wild-type, which suggests a decrease in the binding affinity between IL11 and IL11Rα.

Training can't always lead to Olympic macrophages

Although the memory capacity of innate immune cells, termed trained immunity (TI), is a conserved evolutionary trait, the cellular and molecular mechanisms involved are incompletely understood. One fundamental question is whether the induction of TI generates a homogeneous or heterogeneous population of trained cells. In this issue of theJCI, Zhang, Moorlag, and colleagues tackle this question by combining an in vitro model system of TI with single-cell RNA sequencing. The induction of TI in human monocytes resulted in three populations with distinct transcriptomic profiles. Interestingly, the presence of lymphocytes in the microenvironment of monocytes substantially impacted TI. The authors also identified a similar population of monocytes in various human diseases or in individuals vaccinated with bacillus Calmette-Guérin. These insights warrant in-depth analysis of TI in responsive versus nonresponsive immune cells and suggest that modulating TI may provide a strategy for treating infections and inflammatory diseases.

Investigation of small molecule inhibitors of the SARS-CoV-2 papain-like protease by all-atom microsecond modelling, PELE Monte Carlo simulations, and in vitro activity inhibition.

The SARS-CoV-2 papain-like (PLpro) protease is essential for viral replication. We investigated potential antiviral effects of hypericin relative to the well-known noncovalent PLpro inhibitor GRL-0617. Molecular dynamics and PELE Monte Carlo simulations highlight favourable binding of hypericin and GRL-0617 to the naphthalene binding pocket of PLpro. Although not potent as GRL-0617 (45.8 vs 1.6µM for protease activity, respectively), in vitro fluorogenic enzymatic assays with hypericin show concentration-dependent inhibition of both PLpro protease and deubiquitinating activities. Given its use in supplementations and the FDA conditional approval of a synthetic version, further evaluation of hypericin as a potential SARS-CoV-2 antiviral is warranted.

Anti-inflammatory potential of λ-carrageenan by inhibition of IL-6 receptor: in silico study

In some cases, the immune system in COVID-19 patients leads to the release of excess cytokine production (cytokine storm), which will potentially develop into pneumonia. Interleukin 6 (IL-6) plays the role of pro-inflammatory cytokine, it is a receptor mediated signalling system. Macroalgae is well known as a source of valuable bioactive substances with potential biological activities. Among them is the sulphated polysaccharide lambda-carrageenan λ-CGN which has been reported as an anti-inflammatory agent. However, its mechanism of action against IL-6 production is currently unknown. This study aims to predict potential molecular mechanisms of λ-CGN chemical compound against IL-6 expression through in silico study. Chemical compound of λ-CGN and target protein in this study were obtained from the pubchem and protein data bank (PDB). The molecular docking prediction was conducted with PyRx software, the result is λ-CGN compound showing strong binding energy to bind target protein IL-6 receptor with the value of -5.9 kcal/mol. Based on the results of in silico study, the sulphated polysaccharide λ-CGN potentially inhibits IL-6R expression by binding ligand pocket with six conventional hydrogen bonds (amino acid residus: His256, His 257, Trp 219, Arg 231, and Asp 221) and two carbon hydrogen bonds (amino acid residus: THR 218 and GLN 220). Binding with these amino acid residues potentially contributes to IL-6 receptor structural change which could result in functional change. Hence, further studies related to in vitro and in vivo investigations would be interesting to further understand the inhibitory mechanism of λ-CGN against IL-6.

Snake venom phospholipase A2s exhibit strong virucidal activity against SARS-CoV-2 and inhibit the viral spike glycoprotein interaction with ACE2.

The COVID-19 pandemic caused by SARS-CoV-2 requires new treatments both to alleviate the symptoms and to prevent the spread of this disease. Previous studies demonstrated good antiviral and virucidal activity of phospholipase A2s (PLA2s) from snake venoms against viruses from different families but there was no data for coronaviruses. Here we show that PLA2s from snake venoms protect Vero E6 cells against SARS-CoV-2 cytopathic effects. PLA2s showed low cytotoxicity to Vero E6 cells with some activity at micromolar concentrations, but strong antiviral activity at nanomolar concentrations. Dimeric PLA2 from the viper Vipera nikolskii and its subunits manifested especially potent virucidal effects, which were related to their phospholipolytic activity, and inhibited cell-cell fusion mediated by the SARS-CoV-2 spike glycoprotein. Moreover, PLA2s interfered with binding both of an antibody against ACE2 and of the receptor-binding domain of the glycoprotein S to 293T/ACE2 cells. This is the first demonstration of a detrimental effect of PLA2s on ß-coronaviruses. Thus, snake PLA2s are promising for the development of antiviral drugs that target the viral envelope, and could also prove to be useful tools to study the interaction of viruses with host cells.