Main Protease Research Articles

Flavonoids as potential SARS-CoV-2 main protease inhibitors: In vitro activity evaluation, molecular docking, 3D-QSAR investigation and synthesis

The damage to public health posed by the COVID-19 epidemic remains non-negligible, and research into highly effective antiviral drugs is key to addressing the epidemic. The main protease (Mpro) is critical for SARS-CoV-2 replication and acts as an effective target for drug development. To date, many flavonoid compounds have been reported to exhibit inhibition of Mpro, and flavonoid structures are informative for the development of new inhibitors. In the present study, we first evaluated the ability of 35 flavonoid compounds to bind Mpro and found that the hydrophobic interaction generated between the benzene ring and the residues may be the main source of binding force. The in vitro inhibitory activity of these compounds was tested by the FRET method, and most of them showed significant inhibition of Mpro. Preliminary analysis revealed that the presence of the glycosidic group was detrimental to the activity of the compounds, in addition the position of the hydroxyl substituent had an effect on the activity of the compounds. Reliable and predictive CoMFA (q2 = 0.541, r2 = 0.998, SEE = 0.039) and CoMISA (q2 = 0.554, r2 = 0.999, SEE = 0.034) models were developed, and the compounds were analyzed by 3D-QSAR with modeled steric, electrostatic, hydrogen bond donor, and hydrophobic fields. A series of compounds were synthesized and characterized, which showed similar experimental and predicted activities, with the activity of 15d (IC50 = 0.74 ± 0.04 uM) exceeding that of the template molecule 15 (0.98 ± 0.13 uM). Subsequently, molecular docking revealed the binding mode of 15d to Mpro and verified the predictions of steric, hydrogen bond donor, and hydrophobic field. In conclusion, these findings provide ideas for subsequent structural studies of flavonoids that could be used in the development of flavonoid-type SARS-CoV-2 Mpro inhibitors.

Exploration of Specific Fluoroquinolone Interaction with SARS-CoV-2 Main Protease (Mpro) to Battle COVID-19: DFT, Molecular Docking, ADME and Cardiotoxicity Studies.

Herein, the pharmacokinetic profiles, binding interactions, and molecular properties of fluoroquinolone derivatives as prospective antiviral drugs are examined using a combination of docking, ADME, and DFT simulations. The effectiveness of the ligands is compared with the clinically tested and FDA-authorized medicine remdesivir. The findings demonstrated encouraging binding energies, indicating possible inhibitory effectiveness against SARS-CoV-2 Mpro. The fluoroquinolone derivatives also exhibit promising ADME characteristics, although compounds 5, 6, 9, 12-20 possess poor values, suggesting that oral administration may be possible. The potential of the selected compounds as SARS-CoV-2 Mpro inhibitors is thoroughly understood because of the integrated analysis of DFT, with compound 11 demonstrating the highest energy gap of 0.2604 eV of, docking with viral targets with docking scores of -7.9 to -5.9 kcal/mol, with compound 18 demonstrating the highest docking score, which is at the 13th position in energy difference in the DFT data. Their favorable electrical properties, robust binding interactions with viral targets, and attractive pharmacokinetic profiles boost their potential as prospective study subjects. These substances have the potential to be transformed into cutting-edge antiviral therapies that specifically target SARS-CoV-2 Mpro and related coronaviruses.

Integrated Exploration of Pyranocoumarin Derivatives as Synergistic Inhibitors of Dual-target for Mpro and PLpro Proteins of SARS-CoV-2 through Molecular Docking, ADMET Analysis, and Molecular Dynamics Simulation.

This study aimed to explore the potential of natural anticoagulant compounds as synergistic inhibitors of the main protease (Mpro) and papain-like protease (PLpro) of SARS-CoV-2 and find effective therapies against SARS-CoV-2 by investigating the inhibitory effects of natural anticoagulant compounds on key viral proteases. The objectives of this study were to conduct rigorous virtual screening and molecular docking analyses to evaluate the binding affinities and interactions of selected anticoagulant compounds with Mpro and PLpro, to assess the pharmacokinetic and pharmacodynamic profiles of the compounds to determine their viability for therapeutic use, and to employ molecular dynamics simulations to understand the stability of the identified compounds over time. In this study, a curated collection of natural anticoagulant compounds was conducted. Virtual screening and molecular docking analyses were performed to assess binding affinities and interactions with Mpro and PLpro. Furthermore, pharmacokinetic and pharmacodynamic analyses were carried out to evaluate absorption, distribution, metabolism, and excretion profiles. Molecular dynamics simulations were performed to elucidate compound stability. Natural compounds exhibiting significant inhibitory activity against Mpro and PLpro were identified. A dual-target approach was established as a promising strategy for attenuating viral replication and addressing coagulopathic complications associated with SARS-CoV-2 infection. The study lays a solid foundation for experimental validation and optimization of identified compounds, potentially leading to the development of precise treatments for SARS-CoV-2.

Synthesis, Docking Study of Some Novel Chromeno[4',3'-b]Pyrano [6,5-d]Pyrimidine Derivatives Against COVID-19 Main Protease (Mpro) (6LU7, 6M03).

In this work, some new chromeno[4',3'-b]pyrano[6,5-d]pyrimidines,3-amino and 3-methyl-5-aryl-4-imino-5(H)-chromeno[4',3'-b]pyrano[6,5-d]pyrimidine-6-ones derivatives were synthesized. Chromenopyrimidines have attracted significant attention recently because of their activities, such as antiviral and cytotoxic activity. All synthesized compounds were characterized using IR, 1H-NMR, Mass Spectroscopy, and elemental analysis data. Molecular docking studies were carried out to determine the inhibitory action of studied ligands against the Main Protease (6LU7, 6m03) of coronavirus (COVID-19). Moreover, the Lipinski Rule parameters were calculated for the synthesized compounds. The result of the docking studies showed a significant inhibitory action against the Main protease (Mpro) of SARS-CoV-2, and the binding energy (ΔG) values of the ligands against the protein (6LU7, 6M03) are -7.8 to -9.9 Kcal/mole. It may conclude that some ligands were likely to be considered lead-like against the main protease of SARS-CoV-2.

In silico studies of thiazole derivative towards its potential use against SARS-CoV-2: An intuition from an experimental and computational approach

The N-(4-methoxyphenyl)-4-phenylthiazole-2-carboxamide (TT7) obtained via cyclization of methyl 2-((4-methoxyphenyl)amino)-2-oxoethanedithioate with ɑ-haloketone and then characterized by 1H-NMR and 13C-NMR spectroscopy, and single crystal X-ray diffraction method. Weak intermolecular interactions like C-H...O, C-H...π, C-O...π, and π...π interactions help to stabilize the compound TT7. The weak interactions formed in the solid structure of the compound TT7 were meticulously investigated using theoretical approach like Hirshfeld surface analysis using crystallographic information file (.cif). Further, the density functional theory calculations have been performed to obtain the optimized geometry of the structure, and to explore the electronic properties of the molecule. The charge distribution on the molecular surface is analyzed by the molecular electrostatic potential (MEP) map. QTAIM and RDG analyses were done to explore the weak interactions (intramolecular) in the compound TT7 in the gaseous phase. The compound TT7 displayed good in silico results against SARS-CoV-2 main protease. Molecular docking study on SARS-CoV-2 virus major protease (PDB IDs: 6LZE and 6LU7) shows higher docking scores. Molecular dynamics simulations confirmed the inhibitory action of the newly synthesized compound (TT7). The binding free energy and contributed energies were determined using the MM-GBSA technique. The 6LU7-ligand complex has the highest binding free energy, with considerable contributions from covalent and van der Waals interactions.

Revealing SARS-CoV-2 Mpro Mutation Cold and Hot Spots: Dynamic Residue Network Analysis Meets Machine Learning

Deciphering the effect of evolutionary mutations of viruses and predicting future mutations is crucial for designing long-lasting and effective drugs. While understanding the impact of current mutations on protein drug targets is feasible, predicting future mutations due to natural evolution of viruses and environmental pressures remains challenging. Here, we leveraged existing mutation data during the evolution of the SARS-CoV-2 protein drug target main protease (Mpro) to test the predictive power of dynamic residue network (DRN) analysis in identifying mutation cold and hot spots. We conducted molecular dynamics simulations on the Mpro of SARS-CoV-2 (Wuhan strain) and calculated eight DRN metrics (averaged BC, CC, DC, EC, ECC, KC, L, PR), each of which identifies a unique network feature within the protein. The sets of residues with the highest and lowest values for each metric, comprising potential cold and hot spots, were compared to published biochemical analyses and per residue mutation frequencies observed across five SARS-CoV-2 lineages, encompassing a total of 191,878 sequences.Individual DRN metrics displayed only modest power to predict the mutation frequency of individual residues. However, integrating the eight DRN metrics with additional structural and sequence-derived metrics allowed us to develop machine learning models which significantly improved the prediction of residue mutation frequency. While further refinements should enhance accuracy, we demonstrated a robust method to understand pathogen evolution. This approach can also guide the development of long-lasting drugs by targeting functional residues located in and near active site, and allosteric sites, that are less prone to mutations.

Large scale analysis of the SARS-CoV-2 main protease reveals marginal presence of nirmatrelvir-resistant SARS-CoV-2 Omicron mutants in Ontario, Canada, December 2021-September 2023.

In response to the COVID-19 pandemic, a new oral antiviral called nirmatrelvir-ritonavir (PaxlovidTM) was authorized for use in Canada in January 2022. In vitro studies have reported mutations in Mpro protein that may be associated with the development of nirmatrelvir resistance. To survey the prevalence, relevance and temporal patterns of Mpro mutations among SARS-CoV-2 Omicron lineages in Ontario, Canada. A total of 93,082 Mpro gene sequences from December 2021 to September 2023 were analyzed. Reported in vitro Mpro mutations were screened against our database using in-house data science pipelines to determine the nirmatrelvir resistance. Negative binomial regression was conducted to analyze the temporal trends in Mpro mutation counts over the study time period. A declining trend was observed in non-synonymous mutations of Mpro sequences, showing a 7.9% reduction (95% CI: 6.5%-‬9.4%; p<0.001) every 30 days. The P132H was the most prevalent mutation (higher than 95%) in all Omicron lineages. In vitro nirmatrelvir-resistant mutations were found in 3.12% (n=29/929) Omicron lineages with very low counts, ranging from one to 19. Only two mutations, A7T (n=19) and M82I (n=9), showed temporal presence among the BA.1.1 in 2022 and the BQ.1.2.3 in 2022, respectively. The observations suggest that, as of September 2023, no significant or widespread resistance to nirmatrelvir has developed among SARS-CoV-2 Omicron variants in Ontario. This study highlights the importance of creating automated monitoring systems to track the emergence of nirmatrelvir-resistant mutations within the SARS-CoV-2 virus, utilizing genomic data generated in real-time.

Identification of Potent, Broad-Spectrum Coronavirus Main Protease Inhibitors for Pandemic Preparedness.

The COVID-19 pandemic highlights the ongoing risk of zoonotic transmission of coronaviruses to global health. To prepare for future pandemics, it is essential to develop effective antivirals targeting a broad range of coronaviruses. Targeting the essential and clinically validated coronavirus main protease (Mpro), we constructed a structurally diverse Mpro panel by clustering all known coronavirus sequences by Mpro active site sequence similarity. Through screening, we identified a potent covalent inhibitor that engaged the catalytic cysteine of SARS-CoV-2 Mpro and used structure-based medicinal chemistry to develop compounds in the pyrazolopyrimidine sulfone series that exhibit submicromolar activity against multiple Mpro homologues. Additionally, we solved the first X-ray cocrystal structure of Mpro from the human-infecting OC43 coronavirus, providing insights into potency differences among compound-target pairs. Overall, the chemical compounds described in this study serve as starting points for the development of antivirals with broad-spectrum activity, enhancing our preparedness for emerging human-infecting coronaviruses.

Toward the Design of Allosteric Effectors: Gaining Comprehensive Control of Drug Properties and Actions.

While the therapeutic potential of allosteric drugs is increasingly realized, the discovery of effectors is largely incidental. The rational design of allosteric effectors requires new state-of-the-art approaches to account for the distinct characteristics of allosteric ligands and their modes of action. We present a broadly applicable computational framework for obtaining allosteric site-effector pairs, providing targeted, highly specific, and tunable regulation to any functional site. We validated the framework using the main protease from SARS-CoV-2 and the K-RasG12D oncoprotein. High-throughput per-residue quantification of the energetics of allosteric signaling and effector binding revealed known drugs capable of inducing the required modulation upon binding. Starting from fragments of known well-characterized drugs, allosteric effectors and binding sites were designed and optimized simultaneously to achieve targeted and specific signaling to distinct functional sites, such as, for example, the switch regions of K-RasG12D. The generic framework proposed in this work will be instrumental in developing allosteric therapies aligned with a precision medicine approach.

Discovery of a Highly Promising Disulfide Derivative Scaffold as Inhibitor of SARS-CoV-2 Main Protease.

The main protease (Mpro) of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) represents a promising target for antiviral drugs aimed at combating COVID-19. Consequently, the development of Mpro inhibitor is an ideal strategy for combating the virus. In this study, we identified twenty-two dithiocarbamates (1 a-h), dithiocarbamate-Cu(II) complexes (2 a-hCu) and disulfide derivatives (2 a-e, 2 i) as potent inhibitors of Mpro, with IC50 value range of 0.09-0.72, 0.9-24.7, and 15.1-111 μM, respectively, through FRET screening. The enzyme kinetics, inhibition mode, jump dilution, and DTT assay revealed that 1 g may be a partial reversible inhibitor, while 2 d and 2 f-Cu are the irreversible and dose- and time-dependent inhibitors, potentially covalently binding to the target. Binding of 2 d, 2 f-Cu, and 1 g to Mpro was found to decrease the stability of the protein. Additionally, DTT assays and thermal shift assays indicated that 2 f-Cu and 2 d are the nonspecific and promiscuous cysteine protease inhibitor. ICP-MS implied that the inhibitory activity of 2 f-Cu may stem from the uptake of Cu(II) by the enzyme. Cytotoxicity assays demonstrated that 2 d and 1 g exhibit low cytotoxicity, whereas 2 f-Cu show certain cytotoxicity in L929 cells. Overall, this work presents two promising scaffolds for the development of Mpro inhibitors to combat COVID-19.

Insights into the Main Protease of SARS-CoV-2: Thermodynamic Analysis, Structural Characterization, and the Impact of Inhibitors.

The main protease (Mpro) of SARS-CoV-2 is an essential enzyme for coronaviral maturation and is the target of Paxlovid, which is currently the standard-of-care treatment for COVID-19. There remains a need to identify new inhibitors of Mpro as viral resistance to Paxlovid emerges. Here, we report the use of native mass spectrometry coupled with 193 nm ultraviolet photodissociation (UVPD) and integrated with other biophysical tools to structurally characterize Mpro and its interactions with potential covalent inhibitors. The overall energy landscape was obtained using variable temperature nanoelectrospray ionization (vT-nESI), thus providing quantitative evaluation of inhibitor binding on the stability of Mpro. Thermodynamic parameters extracted from van't Hoff plots revealed that the dimeric complexes containing each inhibitor showed enhanced stability through increased melting temperatures as well as overall lower average charge states, giving insight into the basis for inhibition mechanisms.

Miniaturized Modular Click Chemistry-enabled Rapid Discovery of Unique SARS-CoV-2 Mpro Inhibitors With Robust Potency and Drug-like Profile.

The COVID-19 pandemic has required an expeditious advancement of innovative antiviral drugs. In this study, focused compound libraries are synthesized in 96- well plates utilizing modular click chemistry to rapidly discover potent inhibitors targeting the main protease (Mpro) of SARS-CoV-2. Subsequent direct biological screening identifies novel 1,2,3-triazole derivatives as robust Mpro inhibitors with high anti-SARS-CoV-2 activity. Notably, C5N17B demonstrates sub-micromolar Mpro inhibitory potency (IC50 = 0.12 µM) and excellent antiviral activity in Calu-3 cells determined in an immunofluorescence-based antiviral assay (EC50 = 0.078 µM, no cytotoxicity: CC50 > 100 µM). C5N17B shows superior potency to nirmatrelvir (EC50 = 1.95 µM) and similar efficacy to ensitrelvir (EC50 = 0.11 µM). Importantly, this compound displays high antiviral activities against several SARS-CoV-2 variants (Gamma, Delta, and Omicron, EC50 = 0.13 - 0.26 µM) and HCoV-OC43, indicating its broad-spectrum antiviral activity. It is worthy that C5N17B retains antiviral activity against nirmatrelvir-resistant strains with T21I/E166V and L50F/E166V mutations in Mpro (EC50 = 0.26 and 0.15 µM, respectively). Furthermore, C5N17B displays favorable pharmacokinetic properties. Crystallography studies reveal a unique, non-covalent multi-site binding mode. In conclusion, these findings substantiate the potential of C5N17B as an up-and-coming drug candidate targeting SARS-CoV-2 Mpro for clinical therapy.

Evaluation of inhibition effect and interaction mechanism of antiviral drugs on main protease of novel coronavirus: Molecular docking and molecular dynamics studies

The outbreak of pneumonia caused by the novel coronavirus (SARS-CoV-2) has presented a challenge to public health. The identification and development of effective antiviral drugs is essential. The main protease (3CLpro) plays an important role in the viral replication of SARS-CoV-2 and is considered to be an effective therapeutic target. In this study, according to the principle of drug repurposing, a variety of antiviral drugs commonly used were studied by molecular docking and molecular dynamics (MD) simulations to obtain potential inhibitors of main proteases. 24 antiviral drugs were docked with 5 potential action sites of 3CLpro, and the drugs with high binding strength were further simulated by MD and the molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) binding free energy calculations. The results showed that the drugs with high flexibility could bind to 3CLpro better than those with low flexibility. The interaction mechanism between antiviral drugs and main protease was analyzed in detail by calculating the root mean square displacement (RMSD), root mean square fluctuation (RMSF) and interaction residues properties. The results showed that the six drugs with high flexibility (Remdesivir, Simnotrelvir, Sofosbuvir, Ledipasvir, Indinavir and Raltegravir) had strong binding strength with 3CLpro, and the last four antiviral drugs can be used as potential candidates for main protease inhibitors.

Advances in the Search for SARS-CoV-2 Mpro and PLpro Inhibitors.

SARS-CoV-2 is a spherical, positive-sense, single-stranded RNA virus with a large genome, responsible for encoding both structural proteins, vital for the viral particle's architecture, and non-structural proteins, critical for the virus's replication cycle. Among the non-structural proteins, two cysteine proteases emerge as promising molecular targets for the design of new antiviral compounds. The main protease (Mpro) is a homodimeric enzyme that plays a pivotal role in the formation of the viral replication-transcription complex, associated with the papain-like protease (PLpro), a cysteine protease that modulates host immune signaling by reversing post-translational modifications of ubiquitin and interferon-stimulated gene 15 (ISG15) in host cells. Due to the importance of these molecular targets for the design and development of novel anti-SARS-CoV-2 drugs, the purpose of this review is to address aspects related to the structure, mechanism of action and strategies for the design of inhibitors capable of targeting the Mpro and PLpro. Examples of covalent and non-covalent inhibitors that are currently being evaluated in preclinical and clinical studies or already approved for therapy will be also discussed to show the advances in medicinal chemistry in the search for new molecules to treat COVID-19.

Molecular docking and molecular dynamics simulation studies reveal repurposing I-Motif ligand as a promising protease inhibitor against SARS-CoV-2 variants

ABSTRACT The COVID-19 caused by the SARS-CoV-2 virus has escalated into a global pandemic, urgently necessitating effective treatments. Tremendous research of the SARS-CoV-2 main protease have enabled insight understanding of its mechanism and potential inhibitors. Due to its crucial role in viral replication, the protease is considered an attractive target for antiviral therapy. This study aimed to identify novel potent inhibitors of main protease protein by repurposing i-Motif (iM) binding compounds from the G4LDB database. iM ligands are known for their ability to stabilise iM structures in DNA, and their repurposing as protein inhibitors is an alternative therapeutic approach. To achieve this, we performed in silico studies with six iM binding compounds. Molecular docking, molecular dynamics (MD) simulations and MM/GBSA binding free energy analysis revealed favourable conformational stability and superior binding affinity of the three proposed iM ligands, including iML0042 (−59.91 ± 3.82 kcal/mol), iML0043 (−56.37 ± 3.87 kcal/mol), and iML0094 (−84.68 ± 3.40 kcal/mol), to SARS-CoV-2 Mpro variants compared to the reference inhibitor nirmatrelvir (−34.35 ± 3.74 kcal/mol). The results suggested that repurposing iM ligands as protease inhibitors is a promising strategy. Our findings revealed significant candidate inhibitors and are recommended for further development as potential protease inhibitors against SARS-CoV-2.

A square planar cobalt(II)-thiosemicarbazone complex. Synthesis, characterization, antiviral and anti-inflammatory potential

Considering the possible antiviral effect of cobalt compounds and known pharmacological potential of thiosemicarbazones, a new combination containing cobalt(II) ions and tetradentate thiosemicarbazone was synthesized and structurally analyzed. In the complex structure (Co1), the cobalt ion is in 2+ oxidation state and is coordinated with ONNO donor set on the thiosemicarbazone backbone. The complex molecule crystallizes in the space group P21/m and the environment of the cobalt center tends to square planar geometry. The inhibitory performance of SARS-CoV-2 and the anti-inflammatory impact of the complex molecule were investigated. It was found that Co1 has high inhibitory effects on the SARS-CoV-2 virus's 3CL main protease enzyme, ACE2:SARS-CoV2 Spike RBD interaction, and IL8. Also, it showed significant anti-inflammatory effects on the release of IL6, IL8, IL10, and TGFβ1 cytokines and wound healing during in vitro TNF-α-induced inflammation. Experimental evidence demonstrates that Co1 diminishes both IL8 gene expression and protein levels. According to in silico and experimental results, it has a drug potential. Assessing the in vivo impacts of Co1 might contribute to understanding its potential as an antiviral and anti-inflammatory agent.

In silico Investigation of the Interactions of Thymol and Carvacrol on the Spike Protein of Omicron Variant and MPro Enzyme of Coronavirus

Many drug studies have been conducted against the coronavirus disease, which has affected the whole world since December 2019, and some studies have been carried out on natural treatment methods. Many ideas for curing coronavirus disease of T. vulgaris known as thyme plant have been presented, although there are gaps in the literature on the subject. In this work, the anti-severe acute respiratory syndrome coronavirus 2 potential of the major compounds of the T. vulgaris plant’s essential oil was investigated in silico. The major components of the T. vulgaris plant's essential oil are thymol and carvacrol. Using molecular docking experiments, we evaluated the effects of thymol and carvacrol in thyme essential oil on Omicron variant spike protein and main protease enzyme (Mpro) of severe acute respiratory syndrome coronavirus 2. We also used online databases to investigate the adsorption, distribution, metabolism, absorption, and toxic (ADMET) aspects of these two compounds. It was determined that thymol and carvacrol have strong binding affinity to the spike protein of the Omicron variant and the main protease enzyme. The compounds interact with target proteins through electrostatic, hydrogen bonds, and hydrophobic interactions. More promising findings are obtained when the contacts of carvacrol with target proteins are assessed in terms of the structure-activity relationship.

MMFA-DTA: Multimodal Feature Attention Fusion Network for Drug-Target Affinity Prediction for Drug Repurposing Against SARS-CoV-2.

The continuous emergence of novel infectious diseases poses a significant threat to global public health security, necessitating the development of small-molecule inhibitors that directly target pathogens. The RNA-dependent RNA polymerase (RdRp) and main protease (Mpro) of SARS-CoV-2 have been validated as potential key antiviral drug targets for the treatment of COVID-19. However, the conventional new drug R&D cycle takes 10-15 years, failing to meet the urgent needs during epidemics. Here, we propose a general multimodal deep learning framework for drug repurposing, MMFA-DTA, to enable rapid virtual screening of known drugs and significantly improve discovery efficiency. By extracting graph topological and sequence features from both small molecules and proteins, we design attention mechanisms to achieve dynamic fusion across modalities. Results demonstrate the superior performance of MMFA-DTA in drug-target affinity prediction over several state-of-the-art baseline methods on Davis and KIBA data sets, validating the benefits of heterogeneous information integration for representation learning and interaction modeling. Further fine-tuning on COVID-19-relevant bioactivity data enhances model predictions for critical SARS-CoV-2 enzymes. Case studies screening the FDA-approved drug library successfully identify etacrynic acid as the potential lead compound against both RdRp and Mpro. Molecular dynamics simulations further confirm the stability and binding affinity of etacrynic acid to these targets. This study proves the great potential and advantages of deep learning and drug repurposing strategies in supporting antiviral drug discovery. The proposed general and rapid response computational framework holds significance for preparedness against future public health events.

Design and synthesis of novel main protease inhibitors of COVID-19: quinoxalino[2,1-b]quinazolin-12-ones.

The COVID-19 pandemic represents a substantial global challenge, being a significant cause of mortality in numerous countries. Thus, it is imperative to conduct research to develop effective therapies to combat COVID-19. The primary aim of this study is to employ a two-step tandem reaction involving 2,3-dichloroquinoxaline and 2-amino-N-substituted benzamides in alkaline media/DMF at an elevated temperature to design and synthesize a series of polycyclic derivatives endowed with quinoxalino[2,1-b]quinazolin-12-one framework. Following synthesis, the newly synthesized heterocycles were evaluated for their potential as inhibitors of the main protease of SARS-CoV-2 by means of molecular docking and dynamic simulation techniques. The in silico investigation demonstrated that all tested compounds effectively establish stable binding interactions, primarily through multiple hydrogen bonding and hydrophobic interactions, at the active site of the enzyme. These findings offer crucial structural insights that can be employed in future endeavors toward designing potent inhibitors targeting the main protease (Mpro). Among the investigated compounds, the p-tolylamino-substituted quinoxalino[2,1-b]quinazolinone derivative exhibited the most promise as an inhibitor of the main protease in COVID-19. Consequently, it warrants further investigation both in vitro and in vivo to identify it as a prospective candidate for anti-SARS-CoV-2 drug development.

Molecular Modeling Studies of Similar Molecules to Selective Estrogen Receptor Degrader Elacestrant as Inhibitors of SARS-COV-2.

Coronavirus 2019 (COVID-19) is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) strain. Many anticancer compounds have been repurposed as effective anti-coronavirus agents and are currently in a clinical trial to be evaluated for treatment. Elacestrant is a novel selective estrogen receptor degrader (SERD). A fingerprint Tanimoto-based 2-dimensional similarity search was performed in the PubChem database using elacestrant as a prototype. The chemical compounds were downloaded, and virtual screening, molecular docking, and molecular dynamics were further used to identify the most active molecules in the binding pocket SARS-COV-2 main protease. Eight compounds with superior docking score, gscore, and glide binding energy were identified. Molecular dynamic simulations (MD) were performed at 100 ns to remove the false interactions between the receptor and the active ligands. The results showed that all the compounds displayed good stability. Further, the ADMET results showed that compounds CID58023104 was observed to be deemed a hit compound; hence, CID58023104 and could be optimize, derivatize, and explore for further development as an anti-coronavirus agent targeting SARS-COV-2 main protease.