Chemical constituents from Limonium tubiflorum and their in silico evaluation as potential antiviral agents against SARS-CoV-2

New cyclic glycolipids from Silene succulenta promote in vitro MCF-7 breast carcinoma cell apoptosis by cell cycle arrest and in silico mitotic Mps1/TTK inhibition

In vitro anticancer screening of Silene succulenta Forssk. aerial parts (Caryophyllaceae) showed that the n-hexane fraction was a highly effective fraction against breast carcinoma cell lines (MCF-7) with IC50 = 15.5 μg mL-1. The bioactive-guided approach led to the isolation of two new cyclic glucolipids from the n-hexane fraction, identified as a 1,2'-cyclic ester of 11-oxy-(6'-O-acetyl-β-d-glucopyranosyl) behenic acid (1) as a C-11 epimeric mixture and 11(R)-oxy-(β-d-glucopyranosyl)-1,2'-cyclic ester of behenic acid (2). An in vitro cytotoxicity study showed the potential suppression of MCF-7 cells with IC50 values of 11.7 ± 0.04 and 6.6 ± 0.01 μg mL-1 for compounds 1 and 2, respectively, compared to doxorubicin (IC50 = 3.83 ± 0.01 μg mL-1). Accordingly, only cell cycle tracking for the most active compound (2) was assessed. The cell cycle investigation showed that compound 2 altered the cell cycle at G0/G1, S, and G2/M phases in MCF-7 treated cells. In addition, its powerful apoptotic ability resulted in a significant increase in the early and late stages of apoptosis. Moreover, molecular docking analysis, which was performed against the anticancer mitotic (or spindle assembly) checkpoint target Mps1 kinase, showed that the two new cyclic glycolipids (1 and 2) possess high binding affinity of -7.7 and - 7.6 kcal mol-1, respectively, compared to its ATP ligand. Overall, this report emphasizes that natural cyclic glycolipids can be used as potential antitumour breast cancer agents.

Targeting Natural Plant Metabolites for Hunting SARS-CoV-2 Omicron BA.1 Variant Inhibitors: Extraction, Molecular Docking, Molecular Dynamics, and Physicochemical Properties Study

(1) Background: SARS-CoV-2 Omicron BA.1 is the most common variation found in most countries and is responsible for 99% of cases in the United States. To overcome this challenge, there is an urgent need to discover effective inhibitors to prevent the emerging BA.1 variant. Natural products, particularly flavonoids, have had widespread success in reducing COVID-19 prevalence. (2) Methods: In the ongoing study, fifteen compounds were annotated from Echium angustifolium and peach (Prunus persica), which were computationally analyzed using various in silico techniques. Molecular docking calculations were performed for the identified phytochemicals to investigate their efficacy. Molecular dynamics (MD) simulations over 200 ns followed by molecular mechanics Poisson–Boltzmann surface area calculations (MM/PBSA) were performed to estimate the binding energy. Bioactivity was also calculated for the best components in terms of drug likeness and drug score. (3) Results: The data obtained from the molecular docking study demonstrated that five compounds exhibited remarkable potency, with docking scores greater than −9.0 kcal/mol. Among them, compounds 1, 2 and 4 showed higher stability within the active site of Omicron BA.1, with ΔG_binding values of −49.02, −48.07, and −67.47 KJ/mol, respectively. These findings imply that the discovered phytoconstituents are promising in the search for anti-Omicron BA.1 drugs and should be investigated in future in vitro and in vivo research.

Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2

Despite tremendous efforts in the past two years, our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus-host interactions, immune response, virulence, transmission, and evolution is still very limited. This limitation calls for further in-depth investigation. Computational studies have become an indispensable component in combating coronavirus disease 2019 (COVID-19) due to their low cost, their efficiency, and the fact that they are free from safety and ethical constraints. Additionally, the mechanism that governs the global evolution and transmission of SARS-CoV-2 cannot be revealed from individual experiments and was discovered by integrating genotyping of massive viral sequences, biophysical modeling of protein-protein interactions, deep mutational data, deep learning, and advanced mathematics. There exists a tsunami of literature on the molecular modeling, simulations, and predictions of SARS-CoV-2 and related developments of drugs, vaccines, antibodies, and diagnostics. To provide readers with a quick update about this literature, we present a comprehensive and systematic methodology-centered review. Aspects such as molecular biophysics, bioinformatics, cheminformatics, machine learning, and mathematics are discussed. This review will be beneficial to researchers who are looking for ways to contribute to SARS-CoV-2 studies and those who are interested in the status of the field.

Molecular modelling identification of phytocompounds from selected African botanicals as promising therapeutics against druggable human host cell targets of SARS-CoV-2

The coronavirus disease 2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is highly pathogenic and transmissible. It is mediated by the binding of viral spike proteins to human cells via entry and replication processes involving human angiotensin converting enzyme-2 (hACE2), transmembrane serine protease (TMPRSS2) and cathepsin L (Cath L). The identification of novel therapeutics that can modulate viral entry or replication has been of research interest and would be germane in managing COVID-19 subjects. This study investigated the structure-activity relationship inhibitory potential of 99 phytocompounds from selected African botanicals with proven therapeutic benefits against respiratory diseases focusing on SARS-CoV-2's human cell proteins (hACE2, TMPRSS2, and Cathepsin L) as druggable targets using computational methods. Evaluation of the binding energies of the phytocompounds showed that two compounds, Abrusoside A (−63.393 kcal/mol) and Kaempferol-3-O-rutinoside (−58.939 kcal/mol) had stronger affinity for the exopeptidase site of hACE2 compared to the reference drug, MLN-4760 (−54.545 kcal/mol). The study further revealed that Verbascoside (−63.338 kcal/mol), Abrectorin (−37.880 kcal/mol), and Friedelin (−36.989 kcal/mol) are potential inhibitors of TMPRSS2 compared to Nafamostat (−36.186 kcal/mol), while Hemiphloin (−41.425 kcal/mol), Quercetin-3-O-rutinoside (−37.257 kcal/mol), and Myricetin-3-O-galactoside (−36.342 kcal/mol) are potential inhibitors of Cathepsin L relative to Bafilomycin A1 (−38.180 kcal/mol). The structural analysis suggests that these compounds do not compromise the structural integrity of the proteins, but rather stabilized and interacted well with the active site amino acid residues critical to inhibition of the respective proteins. Overall, the findings from this study are suggestive of the structural mechanism of inhibitory action of the identified leads against the proteins critical for SARS-CoV-2 to enter the human host cell. While the study has lent credence to the significant role the compounds could play in developing potent SARS-CoV-2 candidate drugs against COVID-19, further structural refinement, and modifications of the compounds for subsequent in vitro as well as preclinical and clinical evaluations are underway.

Conducting the RBD of SARS-CoV-2 Omicron Variant with Phytoconstituents from Euphorbia dendroides to Repudiate the Binding of Spike Glycoprotein Using Computational Molecular Search and Simulation Approach

(1) Background: Natural constituents are still a preferred route for counteracting the outbreak of COVID-19. Essentially, flavonoids have been found to be among the most promising molecules identified as coronavirus inhibitors. Recently, a new SARS-CoV-2 B.1.1.529 variant has spread in many countries, which has raised awareness of the role of natural constituents in attempts to contribute to therapeutic protocols. (2) Methods: Using various chromatographic techniques, triterpenes (1–7), phenolics (8–11), and flavonoids (12–17) were isolated from Euphorbia dendroides and computationally screened against the receptor-binding domain (RBD) of the SARS-CoV-2 Omicron variant. As a first step, molecular docking calculations were performed for all investigated compounds. Promising compounds were subjected to molecular dynamics simulations (MD) for 200 ns, in addition to molecular mechanics Poisson–Boltzmann surface area calculations (MM/PBSA) to determine binding energy. (3) Results: MM/PBSA binding energy calculations showed that compound 14 (quercetin-3-O-β-D-glucuronopyranoside) and compound 15 (quercetin-3-O-glucuronide 6″-O-methyl ester) exhibited strong inhibition of Omicron, with ΔG_binding of −41.0 and −32.4 kcal/mol, respectively. Finally, drug likeness evaluations based on Lipinski’s rule of five also showed that the discovered compounds exhibited good oral bioavailability. (4) Conclusions: It is foreseeable that these results provide a novel intellectual contribution in light of the decreasing prevalence of SARS-CoV-2 B.1.1.529 and could be a good addition to the therapeutic protocol.