Viral infectious diseases have been seriously affecting human life and health. SARS-CoV-2 was the pathogen that caused Coronavirus Disease 2019 (COVID-19), and the impact of COVID-19 is still existing. Enterovirus 71 (EV71) is the primary pathogen of hand, foot, and mouth disease (HFMD), and no effective direct-acting antiviral drugs targeting EV71 has been approved yet. Innate antiviral strategies play an important role in preventing virus infections depending on the powerful immune regulatory system of body, while viruses have evolved to exploit diverse methods to overcome immune response. Viral proteases, which are known in cleaving viral polyproteins, have also been found to modulate the innate immunity of host cells, thereby promoting viral proliferation. Herein, we reviewed the current development of SARS-CoV-2 3CLpro, PLpro, and EV71 3Cpro and 2Apro, mainly including structure, function, modulation of immune response, and inhibitors of these four proteases, to further deepen the understanding of viral pathogenesis and provide a new perspective for subsequent corresponding drug development.

Arbidol (ARB, Umifenovir), a broad-spectrum antiviral from Russia, lacks Food and Drug Administration (FDA) approval due to insufficient clinical data and undocumented toxicity concerns. Its indole scaffold, with six unique substitutions, enables optimization for improved efficacy. This study optimized ARB's antiviral potency and safety by modifying the N1, C2, C3, and C4 positions. Antiviral efficacy was evaluated in SARS-CoV-2-infected VERO E6 cells, while optimization was guided by absorption, distribution, metabolism, and excretion (ADME), in vivo pharmacokinetic (PK) and hERG. Early modifications at N1 and C2 produced compounds 10 and 14 (IC50 = 1.5 μM), surpassing ARB (IC50 = 9.0 μM). Further refinements yielded compounds 42 (IC50 = 1.1 μM) and 56 (IC50 = 0.24 μM), resolving hERG toxicity (>30 μM). C3 modifications led to lead compounds 77, 79, and 81 (IC50 = 0.67-0.7 μM), achieving superior potency while eliminating hERG toxicity. Mechanism of entry inhibition and immunofluorescence confirmed compound 77 significantly reduced SARS-CoV-2 within Vero cells, supporting their preclinical potential.

Viral respiratory infections remain a major and recurrent public health threat. Among them, influenza viruses are responsible for ⁓500,000 deaths worldwide and a high economic burden. The recurrent threat of emerging zoonotic or pandemic viruses worsens this scenario, being SARS-CoV-2 and the millions of COVID-19 deaths the most recent example. The rapid evolution of circulating influenza and SARS-CoV-2 viruses allows the emergence and dissemination of variant strains carrying mutations resulting in suboptimal vaccine protection and/or reduced efficacy of current limited therapeutic arsenal. In this context, host-targeted approaches constitute a promising antiviral strategy aiming to achieve broad-spectrum activity and mitigate the emergence of viral resistance against classic direct acting antivirals. Here, we demonstrated that diltiazem, a calcium channel blocker currently used to treat angor, induces an ISG expression profile characteristic of an antiviral cellular state mainly driven by IFN-λ. We then evaluated the potential of the diltiazem-baloxavir combination against Influenza A wild-type and the PA I38T resistant strain in cell culture and human airway epithelia (HAE). We analogously evaluated the diltiazem-molnupiravir combination against SARS-CoV-2, including variants of concern. Our results demonstrate the broad-spectrum antiviral activity of diltiazem against Influenza A viruses, including resistant strains, as well as the capacity to potentiate the antiviral effect of baloxavir. The diltiazem-molnupiravir combination further reduced viral production and protected the integrity of HAE infected with SARS-CoV-2. This study highlights the major interest of combining direct acting and host-targeted agents as a promising strategy against circulating and emerging viruses.

The increasing incidence of viral pandemics calls for new small-molecule therapeutics beyond traditional approaches and targets. Dispirotripiperazine, composed of two positively charged nitrogen atoms, represents an unusual scaffold in drug discovery campaigns, and molecules based on it are known to prevent virus infection by disrupting early host-pathogen interactions. In this study, the adhesion-blocking dispirotripiperazine core compound PDSTP was evaluated against SARS-CoV-2 in vitro and in vivo. We demonstrated that the molecule was acceptably active against two clinical isolates affecting the early stages of the SARS-CoV-2 cycle. In a hamster model of SARS-CoV-2 pneumonia, PDSTP treatment resulted in reduced viral loads in the lungs and turbinates and milder lung tissue lesions. Overall, these data support PDSTP as a preclinical candidate for the treatment of COVID-19.

Globally, over 768 million confirmed cases and 6.9 million deaths had been documented as of July 17, 2023. Coronaviruses have a relatively large RNA genome. As with other viruses, SARS-CoV-2 does have an envelope film produced from host cells that are assisted by virally encoded glycoproteins that are required for infectivity, immunological assault, and viral particle production. Although the intermediate source of origin and transmission to humans is unexplained, rapid transmission from human to human has been established. This review focuses on the mechanistic framework for understanding the SARS-CoV-2 viral infection. Additionally, it discusses the origins and implications of COVID-19 using direct quotations from the published scientific literature to avoid misinterpretation of this catastrophic event that resulted in a massive loss of human life and impact on the global economy. The current available information unfolds large number of topics related with COVID-19 and/or the coronavirus (SARS-CoV-2) responsible of the disease. This review article also delves into the multifaceted aspects of COVID-19 and SARS-CoV-2, with a specific focus on a controversial yet essential issue: the possible association between SARS-CoV-2's origin and aldose reductase, an enzyme known for its role in diabetic retinopathy. Exploring this connection holds utmost significance, offering valuable insights into COVID-19's pathogenesis and unlocking new avenues for therapeutic interventions. It is important to trace back the evolution of coronaviruses and reveal the possible origin of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19).

Host factors that are involved in modulating cellular vesicular trafficking of virus progeny could be potential antiviral drug targets. ADP-ribosylation factors (ARFs) are GTPases that regulate intracellular vesicular transport upon GTP binding. Here we demonstrate that genetic depletion of ARF4 suppresses viral infection by multiple pathogenic RNA viruses including Zika virus (ZIKV), influenza A virus (IAV) and SARS-CoV-2. Viral infection leads to ARF4 activation and virus production is rescued upon complementation with active ARF4, but not with inactive mutants. Mechanistically, ARF4 deletion disrupts translocation of virus progeny into the Golgi complex and redirects them for lysosomal degradation, thereby blocking virus release. More importantly, peptides targeting ARF4 show therapeutic efficacy against ZIKV and IAV challenge in mice by inhibiting ARF4 activation. Our findings highlight the role of ARF4 during viral infection and its potential as a broad-spectrum antiviral target for further development.

Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. However, determining COVID-19 severity requires a radiologist with significant expertise. This study introduces a pioneering utilization of deep learning (DL) for evaluate COVID-19 severity using lung CT images, presenting a novel and effective method for assessing the severity of pulmonary manifestations in COVID-19 patients. Inception-Residual networks (Inception-ResNet), advanced hybrid models known for their compactness and effectiveness, were used to extract relevant features from CT scans. Inception-ResNet incorporates the dilated mechanism into its ResNet component, enhancing its ability to accurately classify lung involvement stages. This study demonstrates that dilated residual networks (dResNet) outperform their non-dilated counterparts in image classification tasks, as their architectural designs allow the systems to acquire comprehensive global data by expanding their receptive fields. Our study utilized an initial dataset of 1548 human thoracic CT scans, meticulously annotated by two experienced specialists. Lung involvement was determined by calculating a percentage based on observations made at each scan. The hybrid methodology successfully distinguished the ten distinct severity levels associated with COVID-19, achieving a maximum accuracy of 96.40%. This system demonstrates its effectiveness as a diagnostic framework for assessing lung involvement in COVID-19-affected individuals, facilitating disease progression tracking.

The emergence of highly contagious SARS-CoV-2 variants emphasizes the need for antiviral drugs that can adapt to evolving viral mutations. Despite widespread vaccination efforts, novel variants and recurrence cases raise concerns about COVID-19. Although repurposed drugs like Remdesivir, a nucleoside inhibitor, offer treatment, there is still a critical need for alternative drugs. Inhibiting viral RdRp function remains a key strategy. Structural analysis highlights the importance of pyrrolo-triazine and pyrimidine scaffolds in nucleoside inhibitors. Our study designed Peptide Nucleic Acid (PNA) antisense pronucleotides by combining these scaffolds using structure-guided drug design. Molecular modeling, including molecular docking, pharmacokinetics, molecular dynamics simulations, and MMPBSA binding energy calculations, predicts that modified PNAs can disrupt ribosome assembly at the RdRp translation start site. The neutral backbone of PNAs may enhance sequence-specific RNA binding. MD simulations revealed that complexes of Remdesivir and L14 remained stable throughout, with the phosphate tail of L14 stabilized by a positive amino acid pocket near the RdRp-RNA entry channel, similar to Remdesivir. Additionally, L14's guanine motif interacted with U20, A19, and U18 on the primer RNA strand. The lead PNA analog (L14) showed superior binding free energy to both RdRp (-47.26 kcal/mol) and RdRp-RNA (-85.66 kcal/mol), outperforming Remdesivir. Key amino acid residues critical for binding affinity were identified, providing valuable insights for drug development. This promising PNA-mimetic compound offers dual-target specificity, presenting a compelling avenue for developing potent anti-SARS-CoV-2 agents.

Respiratory viral infections present significant global health challenges, causing substantial morbidity and mortality, particularly among highly susceptible components of the population. The emergence of pandemics and epidemics, such as those caused by influenza viruses and coronaviruses, emphasizes the urgent need for effective antiviral therapeutics. In this review, we explore the potential of broad-spectrum antiviral agents targeting respiratory RNA viruses, including influenza viruses, coronaviruses, respiratory syncytial virus, human metapneumovirus, human parainfluenza viruses, and rhinoviruses. Various broad-spectrum direct-acting and host-targeting antivirals are discussed, including monoclonal antibodies targeting conserved regions of viral surface proteins, molecules interfering with host cell receptors or viral replication machinery, viral protease inhibitors, siRNA therapies, ribonuclease, and 3D8 scFv. Advancements in host-targeting approaches to reduce resistance and RNA-based therapeutics offer significant potential for combating respiratory viral threats. Despite challenges, broad-spectrum antiviral agents represent a crucial strategy, particularly when specific viral pathogens are unidentified or rapid intervention is essential, such as during pandemics or outbreaks.

Reactive fragment (RF) screening has emerged as an efficient method for ligand discovery across the proteome, irrespective of a target's perceived tractability. To date, however, the efficiency of subsequent optimisation campaigns has largely been low-throughput, constrained by the need for synthesis and purification of target compounds. We report an efficient platform for 'direct-to-biology' (D2B) screening of cysteine-targeting chloroacetamide RFs, wherein synthesis is performed in 384-well plates allowing direct assessment in downstream biological assays without purification. Here, the developed platform was used to optimise inhibitors of SARS-CoV-2 main protease (MPro), an established drug target for the treatment of COVID-19. An initial RF hit was developed into a series of potent inhibitors, and further exploration using D2B screening enabled a 'switch' to a reversible inhibitor series. This example of ligand discovery for MPro illustrates the acceleration that D2B chemistry can offer for optimising RFs towards covalent inhibitor candidates, as well as providing future impetus to explore the evolution of RFs into non-covalent ligands.

The Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a potentially lethal infection that presents a substantial threat to health, especially in Middle East nations. Given that no FDA-approved specific therapy for MERS infection exists, designing and discovering a potent antiviral therapy for MERS-CoV is crucial. One pivotal strategy for inhibiting MERS replication is to focus on the viral main protease (Mpro). In this study, we identify potential novel Mpro inhibitors employing structure-based virtual screening of our recently reported Ugi reaction-derived library (URDL) consisting of cherry-picked molecules from the literature. The key features of the URDL library include synthetic tractability (1-2 pot synthesis) of the molecules scaffold and unexplored chemical space. The hits were ranked based on the docking score, MM-GBSA free energy of binding, and the interaction pattern with the active site residues. A molecular dynamics (MD) simulation study was performed for the first two top-ranked compounds to analyze the stability and free binding energy based on the molecular mechanics Poisson-Boltzmann surface area. The potential mean force calculated from the steered molecular dynamics (SMD) simulations of the hits indicates improved H-bond potential, enhanced conformational stability, and binding affinity toward the target, compared to the cocrystallized ligand. The discovered hits represent novel synthetically tractable scaffolds as potential MERS-CoV Mpro inhibitors.Communicated by Ramaswamy H. Sarma.

A novel 2'-α-fluoro-2'-β-C-(fluoromethyl) purine nucleoside phosphoramidate prodrug 15 has been designed and synthesized to treat SARS-CoV-2 infection. The SARS-CoV-2 central replication transcription complex (C-RTC, nsp12-nsp7-nsp82) catalyzed in vitro RNA synthesis was effectively inhibited by the corresponding bioactive nucleoside triphosphate (13-TP). The cryo-electron microscopy structure of the C-RTC:13-TP complex was also determined. Compound 15 exhibited potent in vitro antiviral activity against the SARS-CoV-2 20SF107 strain (EC50 = 0.56 ± 0.06 μM) and the Omicron BA.5 variant (EC50 = 0.96 ± 0.23 μM) with low cytotoxicity. Furthermore, it was well tolerated in rats at doses of up to 2000 mg/kg, and a single oral dose of this prodrug at 40 mg/kg led to high levels of 13-TP in the target organ lungs of rats with a long half-life. These findings support the further development of compound 15 as an orally available antiviral agent for the treatment of SARS-CoV-2 infection.

Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) caused an outbreak in 2002-2003, spreading to 29 countries with a mortality rate of about 10%. Strict quarantine and infection control methods quickly stopped the spread of the disease. Later research showed that SARS-CoV came from animals (zoonosis) and stressed the possibility of a similar spread from host to human, which was clearly shown by the COVID-19 outbreak. The COVID-19 pandemic, instigated by SARS-CoV-2, has affected 776 million confirmed cases and more than seven million deaths globally as of Sept 15, 2024. The existence of animal reservoirs of coronaviruses continues to pose a risk of re-emergence with improved fitness and virulence. Given the high death rate (up to 70 percent) and the high rate of severe sickness (up to 68.7 percent in long-COVID patients), it is even more critical to identify new therapies as soon as possible. This study combines research on antivirals that target SARS coronaviruses that have been conducted over the course of more than twenty years. It is a beneficial resource that might be useful in directing future studies.

Drug repurposing has become a widely adopted strategy to minimise research time, costs, and associated risks. Combinations of protease inhibitors such as lopinavir and darunavir with ritonavir have been repurposed as treatments for COVID-19. Although lopinavir-ritonavir (LPV/r) and darunavir-ritonavir (DRV/r) have shown in vitro efficacy against COVID-19, the results in human studies have been inconsistent. Therefore, our objective was to compare the efficacy of LPV/r and DRV/r in COVID-19 patients admitted to a tertiary centre in Romania.

A clinical dataset from 417 hospitalised patients was analysed. Patients were assigned to the LPV/r, DRV/r, or control (standard-of-care) group based on clinical decisions made by the attending infectious disease specialists, aligned with national treatment protocols. Kaplan-Meier and Cox proportional hazards regression analyses were conducted to compare in-hospital mortality and to identify factors associated with clinical improvement or fatal outcomes.

By day 10, more patients showed improvement with LPV/r and DRV/r (p=0.03 and 0.01, respectively), but only LPV/r was associated with improved survival compared to the control group (p=0.05). Factors associated with mortality included male gender (HR: 3.63, p=0.02), diabetes (HR: 2.49, p=0.03), oxygen saturation below 90% at admission (HR: 5.23, p<0.01), high blood glucose levels (HR: 3.68, p=0.01), age (HR: 1.04, p=0.02), and more than 25% lesion extension on chest CT scan (HR: 2.28, p=0.03).

LPV/r, but not DRV/r, showed a survival benefit in patients hospitalised with COVID-19, but these findings deserve further investigation in a randomised clinical trial.

Different respiratory viruses might cause similar symptoms, ranging from mild upper respiratory tract involvement to severe respiratory distress, which can rapidly progress to septic shock, coagulation disorders, and multiorgan failure, ultimately leading to death. The COVID-19 pandemic has shown that predicting clinical outcomes can be challenging because of the complex interactions between the virus and the host. Traditional Chinese medicine (TCM) has distinct benefits in the treatment of respiratory viral illnesses due to its adherence to the principles of "different treatments for the same disease" and "same treatment for different diseases". This paper examines the effectiveness and underlying mechanisms of key TCM treatments for viral pneumonia in recent years. The aim of this study was to discover and confirm the active substances of TCM with potential therapeutic effects on viral pneumonia and their integrative effects and synergistic mechanisms and to provide a scientific basis for elucidating the effectiveness of TCM treatment and drug discovery. Furthermore, a thorough analysis of previous research is necessary to evaluate the effectiveness of TCM in treating viral pneumonia.

The persistence of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the emergence of new mutant strains continue to present a substantial threat with potential for future pandemics. Safe, effective, and readily available COVID-19 therapeutics are urgently needed to prepare for future coronavirus pandemics. To help identify new antiviral agents, the present study focused on natural products in the extracts of Holy Basil, Ocimum tenuiflorum L., which show potential inhibitory effects against the SARS-CoV-2 main protease (Mpro). Bioassay-guided isolation of the MeOH extracts of O. tenuiflorum led to the identification of a sulfur-containing glyceroglycolipid, sulfoquinovosyl diacylglycerol (SQDG: 1), as a potent Mpro inhibitor that effectively inhibited Mpro activity (IC50: 0.42 µM). SQDG (1) also markedly suppressed SARS-CoV-2 replication (EC50, 51.2 µM) in vitro while displaying no cytotoxicity (CC50 > 100 µM). Further inhibition kinetic studies and docking simulations clearly demonstrated that SQDG strongly inhibited SARS-CoV-2 Mpro in a competitive and mixed-inhibition manner. These findings highlight SQDG as a promising lead compound for COVID-19 therapy and emphasize the need to explore new drugs from natural sources.

Scaffold-based drug design has become increasingly prominent in the pharmaceutical field due to the systematic and effective approach through which it facilitates the development of novel drugs. The identification of key scaffolds provides medicinal chemists with a fundamental framework for subsequent research. With mounting evidence suggesting that increased aromaticity could impede the chances of developmental success for oral drug candidates, there is an imperative need for a more thorough exploration of alternative ring systems to mitigate attrition risks. The unique characteristics exhibited by three-membered rings have led to their application in medicinal chemistry. This review explores the use of cyclopropane-, aziridine-, thiirane-, and epoxide-containing compounds in drug discovery, focusing on their roles in approved medicines and drug candidates. Specifically, the importance of the three-membered ring systems in rending biological activity for each drug molecule was highlighted. The undeniable therapeutic value and intriguing features presented by these compounds suggest significant pharmacological potential, providing justification for their incorporation into the design of novel drug candidates.

There is merit in investigating novel therapeutic molecules that hit vital targets during the viral infection cycle i.e. disrupting the interaction between SARS-CoV-2's spike glycoprotein and the host's angiotensin converting enzyme 2 (ACE2) receptor, potentially offering new avenues for treatment. Accordingly, lipid-based vesicular systems like liposomes or niosomes are frequently utilized to overcome these hurdles. Thus, chemically synthesized compounds were encapsulated within PEGylated bilosomes (PBs) to improve their solubility and intestinal permeability, thereby enhancing their anti-SARS-CoV-2 effectiveness. The formulae were prepared according to 23 full factorial design which was also used to explore the impact of the change in predetermined formulation variables on the properties of the prepared vesicles (entrapment efficiency EE%, particle size PS, and zeta potential ZP). Additionally, the optimized formula (F4) which is composed of 3% bile salt (BS), 40 mg 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[amino(polyethylene glycol)-2000] (DSPE) and sodium deoxycholate (SDC) as a bile salt, was selected as an optimum formula with desirability value 0.674 using Design Expert® software. Both the in vitro release and ex vivo experiments results confirmed the significant superiority of the F4 over the drug dispersion. Both cytotoxicity and anti-SARS-CoV-2 activity of all examined compound-loaded PBs (PB3a-PB3g) were assessed in Vero E6 cells via MTT assay. Both compounds PB3c and PB3g displayed the highest IC50 values (0.71 and 1.25 μg mL-1, respectively) ensuring their superior antiviral potential. Moreover, it was revealed that PB3c demonstrated more than 80% virucidal activity and over 80% inhibition of viral adsorption with little effect on the viral replication ∼(5-10%). Moreover, molecular docking and dynamic studies were conducted to pursue the binding affinities of the investigated compounds towards the ACE2 target of the SARS-CoV-2 spike protein, assuring their feasible inhibitory potential. Collectively, the investigated compound-loaded PBs can be treated as promising lead drug delivery panels for COVID-19 management.

Peptides, as small molecular compounds, exhibit prominent advantages in the inhibition of coronaviruses due to their safety, efficacy, and specificity, holding great promise as drugs against coronaviruses. The rapid and efficient determination of the activity of anti-coronavirus peptides (ACovPs) can greatly accelerate the development of drugs for treating coronavirus-related diseases. Hence, we present ACVPICPred, a computational model designed to predict the inhibitory activity of ACovPs based on their sequences and structural information. By leveraging bioinformatics tools AlphaFold3 for structural predictions and several feature extraction methods, the model integrates both sequence and structural features to enhance prediction accuracy. To address the limitations of existing datasets, we employed data augmentation techniques, including the introduction of noise and the SMOGN, to improve the model robustness. The model's performance was evaluated through five-fold cross-validation, achieving a Pearson correlation coefficient of 0.7668 (p < 0.05) and an R² of 0.5880 on the training dataset. Overall, in our study, compared to models that only use sequence features, models that combine structural features have achieved more robust results in various evaluation metrics. ACVPICPred is freely accessible at the following URL: http://i.uestc.edu.cn/acvpICPred/main/Main.php.

Recurrent epidemics of coronaviruses have posed significant threats to human life and health. The mortality rate of patients infected with the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is 35 %. The main protease (Mpro) plays a crucial role in the MERS-CoV life cycle, and Mpro exhibited a high degree of conservation among different coronaviruses. Therefore inhibition of Mpro has become an effective strategy for the development of broad-spectrum anti-coronaviral drugs. The inhibition of SARS-CoV-2 Mpro by the anti-tumor drug carmofur has been revealed, but structural studies of carmofur in complex with Mpro from other types of coronavirus have not been reported. Hence, we revealed the structure of the MERS-CoV Mpro-carmofur complex, analysed the structural basis for the binding of carmofur to MERS-CoV Mpro in detail, and compared the binding patterns of carmofur to Mpros of two different coronaviruses, MERS-CoV and SARS-CoV-2. Considering the importance of Mpros for coronavirus therapy, structural understanding of Mpro inhibition by carmofur could contribute to the design and development of novel antiviral drugs with safe and broad-spectrum efficacy.

The severity of the respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 has escalated rapidly in recent years, posing a significant threat to global health. Sweroside and swertiamarin are bioactive iridoid glycosides extracted mainly from Swertia davidii Franch. It remains unclear how Swertia davidii Franch. Specifically affects COVID-19 and its underlying mechanisms. We first employed network pharmacology and molecular docking techniques to investigate how sweroside and swertiamarin affect COVID-19 in order to explore its potential mechanism. We found that 35 potential target genes can be used for the treatment of COVID-19, with androgen receptor (AR), HSP90AA1, RAC-alpha serine/threonine-protein kinase, cyclin-dependent kinase 1, epidermal growth factor receptor, and glycogen synthase kinase-3 beta emerging as particularly promising candidates. Additionally, sweroside and swertiamarin demonstrated unambiguous interactions with the 3CL protease AR through molecular docking research. At the active site, sweroside and swertiamarin can bind to AR (1T65), the main protease (5R82), and 3CL protease (6M2N), showing therapeutic potential.

Viral pneumonia is characterized by inflammation in the lungs triggered by respiratory viruses. Dayuan Yin (DYY), a traditional Chinese medicine formula known for treating infectious diseases, is hypothesized to offer therapeutic benefits in treating viral pneumonia, although its specific molecular impacts remain understudied. This study aimed to evaluate the therapeutic effects of DYY in mitigating HCoV-229E virus-induced pneumonia in mice. This study employed an HCoV-229E virus-infected mouse model to investigate the therapeutic potential and underlying molecular mechanisms of DYY on virus-induced pneumonia. The respiratory function and organ indices post-treatment were assessed. Lung tissue and tracheal lesions were evaluated via immunohistochemistry. Spleen immune cell composition was analyzed using flow cytometry. Inflammatory cytokines and viral loads were quantified using hypersensitive multiplex electrochemiluminescence method and PCR analysis, respectively. The expression levels of MAS1, Ras, Raf1, MEK1/2, and ERK1/2 in lung tissues were determined through western blot analysis. DYY significantly improved respiratory function, and reduced organ pathology in infected mice. It effectively decreased viral loads and inflammatory cytokines such as IL-6, IL-1β, and TNF-α in lung tissues. Enhancements in immune response were evidenced by increased CD4/CD8 ratios in the spleen. DYY also notably upregulated MAS1 protein levels and suppressed the activation of the Ras/Raf1/MEK/ERK signaling pathway. DYY enhanced respiratory function and exerted significant antiviral and immunomodulatory effects in mice infected with the HCoV-229E virus, primarily by modulating MAS1 expression and inhibiting the Ras/Raf1/MEK/ERK pathway.

Adjuvants use several mechanisms to boost immunogenicity and to modulate immune response. The strength of adsorption of antigen by adjuvants can be a determinant factor for significant improvement of immunopotentiation.

We expressed recombinant RBD-FC in PichiaPink Strain 4 and examined the vaccination of mice by vaccine formulation with different adjuvants (sodium alginate and aluminum hydroxide, alone and together).

Sodium alginate significantly increased the immunogenicity and stability of RBD-FC antigen, so RBD-FC formulated with combined alginate and alum (AlSa) and sodium alginate alone showed higher antibody titer and stability. Immunogenicity of RBD-FC:AlSa was determined by serological assays including direct enzyme-linked immunosorbent assay (ELISA) and surrogate virus neutralization test (sVNT). High levels of IgGs and neutralizing antibodies were measured in serum of mice immunized with the RBD-FC:AlSa formulation. On the other hand, cytokines IL-10 and INF-γ were severely accumulated in response to RBD-FC:AlSa, and after 10 days, their accumulation was significantly declined, whereas IL-4 showed the highest and the lowest accumulation in response to alum and alginate, respectively.

Our data may suggest that combination of alum and sodium alginate has a better compatibility with RBD-FC in vaccine formulation.

Furin cleavage site (FCS) of the SARS-CoV-2 S protein, which connects the S1/S2 junction, is essential for facilitating fusion with the host cells. Wild-type (Wt) SARS-CoV-2 S protein, PDB ID: 6yvb, lacks a sequence of amino acid residues, including the FCS that links the S1/S2 junction. For the first time, we demonstrated that a stretch of 14 amino acid residues (677QTNSPRRARSVASQ689) forms an antiparallel β-sheet comprising of PRRAR sequence in the FCS within a short loop. Upon comparing the loop content of the S1/S2 junction with that of Wt SARS-CoV-2 containing PRRAR in the FCS, we observed a decrease in antiparallel β-sheet content and an increase in loop content in the B.1.1.7 variant with HRRAR in the FCS. This short loop within antiparallel β-sheet can serve as a docking site for various proteases, including TMPRSS2 and α1AT. We performed a 300-ns simulation of the SARS-CoV-2 receptor binding domain (RBD) using several antibacterial and antiviral ligands commonly used to treat various infections. Our findings indicate that the receptor binding domain (RBD) comprising the receptor binding motif (RBM) utilizes β6 and a significant portion of the loop to bind with ligands, suggesting its potential for treating SARS-CoV-2 infections.

Coronavirus disease 2019 (COVID-19) the most contagious infection caused by the unique type of coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), produced a global pandemic that wreaked havoc on the health-care system, resulting in high morbidity and mortality. Several methods were implemented to tackle the virus, including the repurposing of existing medications and the development of vaccinations. The purpose of this article is to provide a complete summary of the current state and future possibilities for COVID-19 therapies. We describe the many treatment classes, such as antivirals, immunomodulators, and monoclonal antibodies, that have been repurposed or developed to treat COVID-19. We also looked at the clinical evidence for these treatments, including findings from observational studies and randomized-controlled clinical trials, and highlighted the problems and limitations of the available evidence. Furthermore, we reviewed existing clinical trials and prospective COVID-19 therapeutic options, such as novel medication candidates and combination therapies. Finally, we discussed the long-term consequences of COVID-19 and the importance of ongoing research into the development of viable treatments. This review will help physicians, researchers, and policymakers to understand the prevention and mitigation of COVID-19.

This report presents the design and synthesis of quinazolinone-based derivatives as promising SARS-CoV-2 3CL protease inhibitors. Two novel series, namely, febrifugine analogues 4a-i and quinazolinone conjugated benzimidazoles 9a-c, were successfully synthesized starting from isatoic anhydride. The synthesized quinazolinone derivatives were evaluated for their cytotoxicity against cancer cell lines and SARS-CoV-2 3CL inhibitory activity. The results showed that the synthesized compounds did not have significant toxicity for the non-cancer HEK293 cell line and MCF-7, MDA-MB-231, HEPG2 and HEPG2.2.15 cancer cell lines. Notably, compound 9b exhibited anti-3CL enzymatic activity in a dose-dependent manner, with the calculated IC50 value of 10.73 ± 1.17 μM. Docking results highlighted the interaction between 9b and 3CL protease through hydrogen bonding with key amino acids, including His41, Met49, Cys145, Met165, Arg188, His164, and Glu166, at the active site of the protease. Pharmacokinetic studies and ADME analyses provide valuable insights into the potential of compound 9b as a drug candidate. These findings support the new scaffold as a candidate for 3CLpro inhibition and advanced anti-coronavirus drug research.

Several antiviral therapeutic approaches have been targeted toward the RNA-dependent RNA polymerase (RdRp) complex that is involved in viral genome replication. In SARS-CoV-2, although the RdRp is a multiprotein complex, the focus has been on the ligand binding catalytic core (nonstructural protein nsp12), and not the multiprotein functional dynamics. In this study, we focus on the conformational ensembles of the RdRp complex and their modulation by the presence of RNA, performing comprehensive microsecond-scale atomistic simulations of the apo- and RNA-bound complex. We delineate the differential impact of RNA on the constituent proteins, such as conformational polymorphisms, dominant segment-specific fluctuations, and the switch in dynamical crosstalk within the complex. We distinguish dynamical signatures of nsp7, nsp8, and nsp12 in the apo-state that are reduced in the presence of the RNA and appear to "prime" the complex for activity. Importantly, we identify a unique structural malleability of the nsp8 protein with high conformational heterogeneity in the apo state, especially at three sites (Y71 for nsp8A, and D52 and A66 for nsp8B). Our work highlights the functional implications of the polymorphism of nsp8 structures and reveals possibilities for the development of allosteric inhibitors.

Although the coronavirus disease 2019 (COVID-19) crisis has passed, there remains a necessity for continuous efforts toward developing more targeted drugs and preparing for potential future virus attacks. Currently, most of the drugs received authorization for the treatment of COVID-19 have exhibited several limitations, such as poor metabolic stability, formidable preparation, and uncertain effectiveness. It is still significant to develop novel, structurally diverse small-molecule antiviral drugs targeting SARS-CoV-2 3-chymotrypsin-like protease (3CLpro). Herein, we report a class of alkynylamide-based nonpeptidic 3CLpro inhibitors that can be prepared conveniently by our previously developed one-pot synthetic method. The structure-activity relationships of alkynylamides as SARS-CoV-2 3CLpro inhibitors have been carefully investigated and discussed in this study. The two stereoisomers of the resulting molecules exhibit stereoselective interaction with 3CLpro, and the optimized compound (S,R)-4y inhibits 3CLpro with high potency (IC50 = 0.43 μM), low cytotoxicity, and acceptable cell permeability. Compound (S,R)-4y presents as a noncovalent inhibitor of 3CLpro against SARS-CoV-2 by the time-dependent inhibition assay (TDI) and mass spectrometry analysis. The Lineweaver-Burk plots, binding energy, surface plasmon resonance, and molecular docking studies suggest that (S,R)-4y specifically binds to an allosteric pocket of the SARS-CoV-2 3CLpro. These findings provide a novel class of nonpeptidic alkynylamide-based allosteric inhibitors with high selectivity against SARS-CoV-2 3CLpro featured by a simplified one-pot synthesis at room temperature in air.

Despite the availability of vaccines and antiviral treatments, the continued emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants and breakthrough infections underscores the need for new, potent antiviral therapies. In a previous study, we established a transcription and replication-competent SARS-CoV-2 virus-like particle (trVLP) system that recapitulates the complete viral life cycle. In this study, we combined high-content screening (HCS) with the SARS-CoV-2 trVLP cell culture system, providing a powerful phenotype-oriented approach to assess the antiviral potential of compounds on a large scale. We screened a library of 3,200 natural compounds and identified drupacine as a potential candidate against SARS-CoV-2 infection. Furthermore, we utilized a SARS-CoV-2 replicon system to demonstrate that drupacine could inhibit viral genome transcription and replication. However, in vitro, enzymatic assays revealed that the inhibition could not be attributed to conventional antiviral targets, such as the viral non-structural proteins nsp5 (MPro) or nsp12 (RdRp). In conclusion, our findings position drupacine as a promising antiviral candidate against SARS-CoV-2, providing a novel scaffold for developing anti-coronavirus disease 2019 therapeutics. Further investigation is required to pinpoint its precise target and mechanism of action.

Contemporary drug discovery paradigms rely heavily on binding assays about the bio-physicochemical processes. However, this dominant approach suffers from overlooked higher-order interactions arising from the intricacies of molecular mechanisms, such as those involving cis-regulatory elements. It introduces potential impairments and restrains the potential development of computational methods. To address this limitation, I developed a deep learning model that leverages an end-to-end approach, relying exclusively on therapeutic information about drugs. By transforming textual representations of drug and virus genetic information into high-dimensional latent representations, this method evades the challenges arising from insufficient information about binding specificities. Its strengths lie in its ability to implicitly consider complexities such as epistasis and chemical-genetic interactions, and to handle the pervasive challenge of data scarcity. Through various modeling skills and data augmentation techniques, the proposed model demonstrates outstanding performance in out-of-sample validations, even in scenarios with unknown complex interactions. Furthermore, the study highlights the importance of chemical diversity for model training. While the method showcases the feasibility of deep learning in data-scarce scenarios, it reveals a promising alternative for drug discovery in situations where knowledge of underlying mechanisms is limited.

Human coronaviruses are a continuous threat to the human population and have limited antiviral treatments, and the recent COVID-19 pandemic sparked interest in finding new antiviral strategies, such as natural products, to combat emerging coronaviruses. Rapid efforts in the scientific community to identify effective antiviral agents for coronaviruses remain a focus to minimize mortalities and global setbacks. In this study, an essential oil derived from Myrtus communis L. (MEO) is effective against HCoV-229E and HCoV-OC43 virus infections in comparison to two FDA-approved drugs, Remdesivir and Nirmatrelvir. Gas-chromatography and mass spectrometry were used to identify the chemical composition of MEO. Slight antioxidant activity was observed in MEO, indicating a role in oxidative stress. A dose-response curve measuring the EC50 indicates a high potency against HCoV-229E and HCoV-OC43 virus infections on Huh7.5 cells with low cytotoxicity using a PrestoBlue cell viability assay. Our findings demonstrate that MEO exhibits potent antiviral activity against HCoV-229E and HCoV-OC43 on Huh7.5 cells within a low-cytotoxicity range, but not on SARS-CoV-2. Artificial bacterial chromosome plasmids that expressed SARS-CoV-2 used for replicon-to determine viral replication and viral assembly/egress on HEK293T/17 cells-and virus-like particles on Huh7.5-AT cells-to determine viral entry and assembly/egress-showed no antiviral activity with MEO in comparison to Remdesivir. This study reveals the potential effectiveness of MEO as an alternative natural remedy to treat human coronaviruses and a potential antiviral agent for future coronavirus infections.

Coronaviruses remodel the intracellular host membranes during replication, forming double-membrane vesicles (DMVs) to accommodate viral RNA synthesis and modifications1,2. SARS-CoV-2 non-structural protein 3 (nsp3) and nsp4 are the minimal viral components required to induce DMV formation and to form a double-membrane-spanning pore, essential for the transport of newly synthesized viral RNAs3-5. The mechanism of DMV pore complex formation remains unknown. Here we describe the molecular architecture of the SARS-CoV-2 nsp3-nsp4 pore complex, as resolved by cryogenic electron tomography and subtomogram averaging in isolated DMVs. The structures uncover an unexpected stoichiometry and topology of the nsp3-nsp4 pore complex comprising 12 copies each of nsp3 and nsp4, organized in 4 concentric stacking hexamer rings, mimicking a miniature nuclear pore complex. The transmembrane domains are interdigitated to create a high local curvature at the double-membrane junction, coupling double-membrane reorganization with pore formation. The ectodomains form extensive contacts in a pseudo-12-fold symmetry, belting the pore complex from the intermembrane space. A central positively charged ring of arginine residues coordinates the putative RNA translocation, essential for virus replication. Our work establishes a framework for understanding DMV pore formation and RNA translocation, providing a structural basis for the development of new antiviral strategies to combat coronavirus infection.

The global health pandemic known as COVID-19, which stems from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a significant concern worldwide. Several treatment methods exist for COVID-19; however, there is an urgent demand for previously established drugs and vaccines to effectively combat the disease. Since, discovering new drugs poses a significant challenge, making the repurposing of existing drugs can potentially reduce time and costs compared to developing entirely new drugs from scratch. The objective of this study is to identify hub genes and associated repurposed drugs targeting them. We analyzed differentially expressed genes (DEGs) by analyzing RNA-seq transcriptomic datasets and integrated with genes associated with COVID-19 present in different databases. We detected 173 Covid-19 associated genes for the construction of a protein-protein interaction (PPI) network which resulted in the identification of the top 10 hub genes/proteins (STAT1, IRF7, MX1, IRF9, ISG15, OAS3, OAS2, OAS1, IRF3, and IRF1). Hub genes were subjected to GO functional and KEGG pathway enrichment analyses, which indicated some key roles and signaling pathways that were strongly related to SARS-CoV-2 infections. We conducted drug repurposing analysis using CMap, TTD, and DrugBank databases with these 10 hub genes, leading to the identification of Piceatannol, CKD-712, and PMID26394986-Compound-10 as top-ranked candidate drugs. Finally, drug-gene interactions analysis through molecular docking and validated via molecular dynamic simulation for 80 ns suggests PMID26394986-Compound-10 as the only potential drug. Our research demonstrates how in silico analysis might produce repurposing candidates to help respond faster to new disease outbreaks.Communicated by Ramaswamy H. Sarma.

Emerging and re-emerging viral pandemics have emerged as a major public health concern. Highly pathogenic coronaviruses, which cause severe respiratory disease, threaten human health and socioeconomic development. Great efforts are being devoted to the development of safe and efficacious therapeutic agents and preventive vaccines to combat them. Nevertheless, the highly mutated virus poses a challenge to drug development and vaccine efficacy, and the use of common immunomodulatory agents lacks specificity. Benefiting from the burgeoning intersection of biological engineering and biotechnology, membrane-derived vesicles have shown superior potential as therapeutics due to their biocompatibility, design flexibility, remarkable bionics, and inherent interaction with phagocytes. The interactions between membrane-derived vesicles, viruses, and the immune system have emerged as a new and promising topic. This review provides insight into considerations for developing innovative antiviral strategies and vaccines against SARS-CoV-2. First, membrane-derived vesicles may provide potential biomimetic decoys with a high affinity for viruses to block virus-receptor interactions for early interruption of infection. Second, membrane-derived vesicles could help achieve a balanced interplay between the virus and the host's innate immunity. Finally, membrane-derived vesicles have revealed numerous possibilities for their employment as vaccines.

Highly pathogenic coronaviruses (CoVs), such as severe acute respiratory syndrome CoV (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV), and the most recent SARS-CoV-2 responsible for the COVID-19 pandemic, pose significant threats to human populations over the past two decades. These CoVs have caused a broad spectrum of clinical manifestations ranging from asymptomatic to severe distress syndromes (ARDS), resulting in high morbidity and mortality.

The accelerated advancements in antiviral drug discovery, spurred by the COVID-19 pandemic, have shed new light on the imperative to develop treatments effective against a broad spectrum of CoVs. This perspective discusses strategies and lessons learnt in targeting viral non-structural proteins, structural proteins, drug repurposing, and combinational approaches for the development of antivirals against CoVs.

Drawing lessons from the pandemic, it becomes evident that the absence of efficient broad-spectrum antiviral drugs increases the vulnerability of public health systems to the potential onslaught by highly pathogenic CoVs. The rapid and sustained spread of novel CoVs can have devastating consequences without effective and specifically targeted treatments. Prioritizing the effective development of broad-spectrum antivirals is imperative for bolstering the resilience of public health systems and mitigating the potential impact of future highly pathogenic CoVs.

The progress of viral infection involves numerous transcriptional regulatory events. The identification of the newly synthesized transcripts helps us to understand the replication mechanisms and pathogenesis of the virus. Here, we utilized a time-resolved technique called metabolic RNA labeling approach called thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq) to differentially elucidate the levels of steady-state and newly synthesized RNAs of BHK21 cell line in response to human coronavirus OC43 (HCoV-OC43) infection. Our results showed that the Wnt/β-catenin signaling pathway was significantly enriched with the newly synthesized transcripts of BHK21 cell line in response to HCoV-OC43 infection. Moreover, inhibition of the Wnt pathway promoted viral replication in the early stage of infection, but inhibited it in the later stage of infection. Furthermore, remdesivir inhibits the upregulation of the Wnt/β-catenin signaling pathway induced by early infection with HCoV-OC43. Collectively, our study showed the diverse roles of Wnt/β-catenin pathway at different stages of HCoV-OC43 infection, suggesting a potential target for the antiviral treatment. In addition, although infection with HCoV-OC43 induces cytopathic effects in BHK21 cells, inhibiting apoptosis does not affect the intracellular replication of the virus. Monitoring newly synthesized RNA based on such time-resolved approach is a highly promising method for studying the mechanism of viral infections.

During the first years of COVID-19 pandemic, X-ray structures of the coronavirus drug targets were acquired at an unprecedented rate, giving hundreds of PDB depositions in less than a year. The main protease (Mpro) of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) is the primary validated target of direct-acting antivirals. The selection of the optimal ensemble of structures of Mpro for the docking-driven virtual screening campaign was thus non-trivial and required a systematic and automated approach. Here we report a semi-automated active site RMSD based procedure of ensemble selection from the SARS-CoV-2 Mpro crystallographic data and virtual screening of its inhibitors. The procedure was compared with other approaches to ensemble selection and validated with the help of hand-picked and peer-reviewed activity-annotated libraries. Prospective virtual screening of non-covalent Mpro inhibitors resulted in a new chemotype of thienopyrimidinone derivatives with experimentally confirmed enzyme inhibition.