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Transmembrane protease serine-2 (TMPRSS2) is a cell-surface protein expressed by epithelial cells of specific tissues including those in the aerodigestive tract. It helps the entry of novel coronavirus (n-CoV) or Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in the host cell. Successful inhibition of the TMPRSS2 can be one of the crucial strategies to stop the SARS-CoV-2 infection. In the present study, a set of bioactive molecules from Morus alba Linn. were screened against the TMPRSS2 through two widely used molecular docking engines such as Autodock vina and Glide. Molecules having a higher binding affinity toward the TMPRSS2 compared to Camostat and Ambroxol were considered for in-silico pharmacokinetic analyses. Based on acceptable pharmacokinetic parameters and drug-likeness, finally, five molecules were found to be important for the TMPRSS2 inhibition. A number of bonding interactions in terms of hydrogen bond and hydrophobic interactions were observed between the proposed molecules and ligand-interacting amino acids of the TMPRSS2. The dynamic behavior and stability of best-docked complex between TRMPRSS2 and proposed molecules were assessed through molecular dynamics (MD) simulation. Several parameters from MD simulation have suggested the stability between the protein and ligands. Binding free energy of each molecule calculated through MM-GBSA approach from the MD simulation trajectory suggested strong affection toward the TMPRSS2. Hence, proposed molecules might be crucial chemical components for the TMPRSS2 inhibition. Graphic abstract

The therapeutic potential of whitish glaucous sub-shrub Haloxylon griffithii (H. griffithii), abundantly present in southern regions of South Asia, has been neglected. The current study aimed to assess the phytochemicals and pharmacological potential of native and gemm forms of H. griffithii. Results of antimicrobial activity revealed that all tested bacteria were susceptible at concentrations ≤50 µg/mL, while tested fungal species were susceptible at ≤25 µg/mL. The values of minimum bactericidal concentrations (MBCs) ranged between 10.75 ± 0.20 to 44.25 ± 0.42 µg/mL, 8.25 ± 0.02 to 28.20 ± 0.80 µg/mL. The value of minimum inhibitory concentration (MIC) of all microbial species was ≤100 µg/mL and the antibiotic mechanism showed that both extracts were highly bactericidal and fungicidal. Results of average log reduction of viable cell count in time kill assay indicated that Pseudomonas aeruginosa (P. aeruginosa) NCTC 1662, Candida albicans (C. albicans) IBL-01, Candidakrusei (C. krusei) ATCC 6258, and Aspergillus flavus (A. flavus) QC 6158 were the most susceptible microbial species. High performance liquid chromatography (HPLC)-based quantification confirmed the presence of gallic acid p.coumeric acid catechin, vanillin, ellagic acid, and salicylic acid, while in native extract only gallic acid. Native and gemm extracts exhibited excellent radical scavenging potential measured by 1,1-diphenyl-2-picryl-hydrazyl radical scavenging assay. Significant thrombolytic activity was found in both extracts with negligible haemolytic activity. Highest percent (%) clot lysis was observed with gemm extracts (87.9 ± 0.85% clot lysis). In summary, we infer that valuable evidence congregated can be exploited for better understanding of gemm H. griffithii’s health benefits, further, to increase its utility with enriching dietary sources of health-promoting compounds.

In the current study, the Asinex and ChEBI databases were virtually screened for the identification of potential Lyn protein inhibitors. Therefore, a multi-steps molecular docking study was carried out using the VSW utility tool embedded in Maestro user interface of the Schrödinger suite. On initial screening, molecules having a higher XP-docking score and binding free energy compared to Staurosporin were considered for further assessment. Based on in silico pharmacokinetic analysis and a common-feature pharmacophore mapping model developed from the Staurosporin, four molecules were proposed as promising Lyn inhibitors. The binding interactions of all proposed Lyn inhibitors revealed strong ligand efficiency in terms of energy score obtained in molecular modelling analyses. Furthermore, the dynamic behaviour of each molecule in association with the Lyn protein-bound state was assessed through an all-atoms molecular dynamics (MD) simulation study. MD simulation analyses were confirmed with notable intermolecular interactions and consistent stability for the Lyn protein-ligand complexes throughout the simulation. High negative binding free energy of identified four compounds calculated through MM-PBSA approach demonstrated a strong binding affinity towards the Lyn protein. Hence, the proposed compounds might be taken forward as potential next-generation Lyn kinase inhibitors for managing numerous Lyn associated diseases or health complications after experimental validation.

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