Traditionally, Withania somnifera is widely used as an immune booster, anti-viral, and for multiple medicinal purposes. The present study investigated the withanolides as an immune booster and anti-viral agents against the coronavirus-19. Withanolides from Withania somnifera were retrieved from the open-source database, their targets were predicted using DIGEP-Pred, and the protein-protein interaction was evaluated. The drug-likeness score and intestinal absorptivity of each compound were also predicted. The network of compounds, proteins, and modulated pathways was constructed using Cytoscape, and docking was performed using autodock4.0, and selected protein-ligand complexes were subjected to 100 ns Molecular Dynamics simulations. The molecular dynamics trajectories were subjected to free energy calculation by the MM-GBSA method. Withanolide_Q was predicted to modulate the highest number of proteins, showed human intestinal absorption, and was predicted for the highest drug-likeness score. Similarly, combined network interaction identified Withanolide_Q to target the highest number of proteins; RAC1 was majorly targeted, and fluid shear stress and atherosclerosis associated pathway were chiefly regulated. Similarly, Withanolide_D and Withanolide_G were predicted to have a better binding affinity with PLpro, Withanolide_M with 3CLpro, and Withanolide_M with spike protein based on binding energy and number of hydrogen bond interactions. MD studies suggested Withanoside_I with the highest binding free energy (ΔG_bind-31.56 kcal/mol) as the most promising inhibitor. Among multiple withanolides from W. somnifera, Withanolide_D, Withanolide_G, Withanolide_M, and Withanolide_Q were predicted as the lead hits based on drug-likeness score, modulated proteins, and docking score to boost the immune system and inhibit the COVID-19 infection, which could primarily act against COVID-19. Communicated by Vsevolod Makeev Graphical Abstract

Anthraquinone derivatives are identified for their immune-boosting, anti-inflammatory, and anti-viral efficacy. Hence, the present study aimed to investigate the reported anthraquinone derivatives as immune booster molecules in COVID-19 infection and evaluate their binding affinity with three reported targets of novel coronavirus i.e. 3C-like protease, papain-like protease, and spike protein. The reported anthraquinone derivatives were retrieved from an open-source database and filtered based on a positive druglikeness score. Compounds with positive druglikeness scores were predicted for their targets using DIGEP-Pred and the interaction among modulated proteins was evaluated using STRING. Further, the associated pathways were recorded concerning the Kyoto Encyclopedia of Genes and Genomes pathway database. Finally, the docking was performed using autodock4 to identify the binding efficacy of anthraquinone derivatives with 3C-like protease, papain-like protease, and spike protein. After docking the pose of ligand scoring minimum binding energy was chosen to visualize the ligand–protein interaction. Among 101 bioactives, 36 scored positive druglikeness score and regulated multiple pathways concerned with immune modulation and (non-) infectious diseases. Similarly, docking study revealed torososide B to possess the highest binding affinity with papain-like protease and 3C-like protease and 1,3,6-trihydroxy-2-methyl-9,10-anthraquinone-3-O-(6′-O-acetyl)-β-d-xylopyranosyl-(1 → 2)-β-d-glucopyranoside with spike protein. Graphic

Background: Tinospora cordifolia is used traditionally for the treatment of diabetes and is used in various formulations. Scientific evidence is also available for its anti-diabetic potency under various animal models. However, the probable molecular mechanism of Tinospora cordifolia in the treatment of diabetes has not been illuminated yet. Hence, the present study dealt to elucidate the probable molecular mechanism of anti-diabetic effect of Tinospora cordifolia using network pharmacology approach. Methods: The structural information of bioactive phytoconstituents was retrieved from different open source databases. Compounds were then predicted for their hits with the probable targets involved in the diabetes mellitus. Phytoconstituents were also predicted for their druglikeness score, probable side effects, and ADMET profile. The modulated protein pathways were identified by using the Kyoto Encyclopedia of Genes and Genomes pathway analysis. The interaction between the compounds, proteins, and pathways was interpreted based on the edge count. The docking study was performed using Autodock4.0. Results: Nine phytoconstituents from Tinospora cordifolia were identified to modulate the pathogenic protein molecules involved in diabetes mellitus. Among them, tembetarine scored highest druglikeness hit and had the maximum interaction with proteins involved in diabetes. Further, neuroactive ligand-receptor interaction was predicted as majorly modulated pathway. Conclusion: The current study identified an important antidiabetic constituent, tembetarine which modulated the majority of diabetic proteins majorly modulating neuroactive ligand-receptor interaction.

The Ministry of AYUSH recommended the use of a decoction of the mixture of Ocimum tenuiflorum, Cinnamomum verum, Piper nigrum, Zingiber officinale, and Vitis vinifera as a preventive measure by boosting the immunity against the severity of infection caused by a novel coronavirus (COVID-19). The present study aimed to identify the probable modulated pathways by the combined action of AYUSH recommended herbal tea and golden milk formulation as an immune booster against COVID-19. Reported phytoconstituents of all the medicinal plants were retrieved from the ChEBI database, and their targets were predicted using DIGEP-Pred. STRING database and Cytoscape were used to predict the protein–protein interaction and construct the network, respectively. Likewise, MolSoft and admet SAR2.0 were used to predict the druglikeness score and ADMET profile of phytoconstituents. The study identified the modulation of HIF-1, p53, PI3K-Akt, MAPK, cAMP, Ras, Wnt, NF-kappa B, IL-17, TNF, and cGMP-PKG signaling pathways to boost the immune system. Further, multiple pathways were also identified which are involved in the regulation of pathogenesis of the multiple infections and non-infectious diseases due to the lower immune system. Results indicated that the recommended herbal formulation not only modulated the pathways involved in boosting the immunity but also modulated the multiple pathways that are contributing to the progression of multiple disease pathogenesis which would add the beneficial effect in the co-morbid patients of hypertension and diabetes. The study provides the scientific documentation of the role of the Ayurvedic formulation to combat COVID-19.