Molecular docking and interactions between vascular endothelial growth factor (VEGF) receptors and phytochemicals: An in-silico study

Bioactive Compounds from Nyctanthes arbor tristis Linn as Potential Inhibitors of Janus Kinases (JAKs) Involved in Rheumatoid Arthritis

Nyctanthes arbor tristis L (NAT) is one of the herbal plants whose parts are commonly used to treat diverse ailment including RA. Although the etiology of the autoimmune disorder RA is still unclear, actions of cytokines have been greatly associated with the mechanism of RA. Despite the huge development of drugs to combat this disorder, the search for alternative medicine is increasing due to the adverse effects of these synthetic drugs. Here, the ability of 30 selected bioactive compounds from the parts of NAT to bind effectively to target proteins of the Janus kinases as a potent inhibitor was predicted in an in silico manner through molecular docking procedure using Autodock 4.2.6 and their interactions visualized using Discovery Studio, followed by evaluating the physiochemical and ADMET properties of compounds of the lowest binding energy comparable to the reference drug baricitinib. Comparing the predicted target information with the standard drug baricitinib, 7 bioactive compounds may be potential lead drug for the treatment of RA owing to their lowest binding energy ranging from - 7.0 kcal/mol to - 10.49 kcal/mol and their pharmacokinetics properties. This can be used for further in vivo and in vitro studies to establish their potency as JAKs inhibitors to treat RA.

SARS-CoV-2 Inhibitors from Nigella Sativa

The recently encountered severe acute respiratory syndrome coronavirus 2 creates huge predicaments among various countries. Lack of specific treatment of COVID-19 disease demands urgency in drug design against SARS-CoV-2 targets. Nigella sativa the miraculous herb native to South and Southwest Asia and belonging to the family Ranunculaceae, due to its beneficial bioactive properties, was used by us for performing in silico study to analyze the potential of its compounds so that they can target and inhibit SARS-COV-2 proteins including its main protease, the papain-like protease, its helicase, and also the RNA-dependent RNApolymerase, RNA-binding protein, Endoribonuclease, receptor-binding domain, and the RNA-binding domain of nucleocapsid phosphoprotein. The procedure of molecular docking was done with the help of AutoDock–Vina 1.1.2. and along with it the ADMET properties of the best suited ligands were found and Lipinski screening was performed. Among 58 ligands screened, various compounds showed binding energy less than the standard drug chloroquine. Three compounds alpha-hederin, rutin, and nigellamine A2 had the least binding energy with the specific SARS-Cov-2 proteins suggesting their best potential as SARS-CoV-2 inhibitor. Hence, in the future, studies including the in vitro and also the in vivo studies can be carried out for analyzing their true potential and encourage use of nutraceuticals like Nigella sativa to inhibit this virus.

Molecular Docking of Phytochemicals Targeting GFRs as Therapeutic Sites for Cancer: an In Silico Study

Drug delivery in a safe manner is a major challenge in the drug development process. Growth factor receptors (GFRs) are known to have profound roles in the growth and progression of cancerous cells making these receptors a therapeutic target in the effective treatment of cancer. This work focused on exploring bioactive compounds that can target GFRs using in silico method. In this study, 50 bioactive compounds from different plant sources were screened as anticancer agent against GFRs using drug likeness parameters of Lipinski's rule of five. The molecular docking was performed between phytochemicals and GFRs. Ligands with acceptable drug likeness and binding energy comparable to the standard drugs were further screened to determine their pharmacokinetic activities. This study showed phytochemicals with the binding energy comparable with the standard drugs (Dovitinib and Gefitinib), while ADME, bioactivity score, and bioavailability radar analysis gave further insight on these compounds as potent anticancer agents.

In silico molecular docking and in vitro analysis of ethanolic extract Ocimum sanctum Linn.: Inhibitory and apoptotic effects against non-small cell lung cancer

Background and Aim:

Lung cancer, especially non-small cell lung cancer (NSCLC), has been identified as the leading cause of cancer deaths worldwide. The mortality rate from lung cancer has been estimated to be 18.4%. Until now, conventional treatments have not yielded optimal results, thus necessitating an investigation into the use of traditional herbal plants as potential candidates for its treatment. This study aimed to determine the inhibitory and apoptotic activity of the ethanolic extract from Ocimum sanctum Linn. (EEOS) by in silico molecular docking and through in vitro studies using NSCLC cells (A549 cell line).

Materials and Methods:

Dried simplicia of Ocimum sanctum was converted into EEOS using the maceration method. Spectrophotometry was then employed to analyze the EEOS compound. The known main active compounds were further analyzed for inhibitory and apoptotic effects on gene signaling using in silico molecular docking involving the downloading of active compounds from PubChem and target proteins from the Protein Data Bank; the active compounds and proteins were then prepared using the Discovery Studio software v. 19.0.0 and the PyRX 0.8 program, interacted with the HEX 8.0.0 program, and visualized with the Discovery Studio Visualizer v. 19.0. Finally, an in vitro analysis was performed using an antiproliferative-cytotoxic test (3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide assay in the NSCLC A549 cell line).

Results:

The analysis revealed that the active compounds in the ethanolic extract were dominated by quercetin (flavonoids) (47.23% b/b) and eugenol (phenolic) (12.14% b/b). These active compounds interacted with the active sites (residual amino acids) of the αvβ3 integrin, a5b1 integrin, caspase-3, caspase-9, and vascular endothelial growth factor. Hydrogen bonds and Pi-cation and Pi-alkyl interactions were involved in the relationships between the active compounds and the active sites and thus may reveal an antioxidant property of the extract. Furthermore, in vitro analysis showed the inhibitory and antiproliferative effects of the EEOS against non-small cell cancer (A549).

Conclusion:

Taken together, our data showed the ability of EEOS as an inhibitor and apoptotic agent for lung cancer; however, further research is needed to determine the exact mechanism of EEOS as an herbal medication.

Glioma-Targeted Therapeutics: Computer-Aided Drug Design Prospective

Amongst the several types of brain cancers known to humankind, glioma is one of the most severe and life-threatening types of cancer, comprising 40% of all primary brain tumors. Recent reports have shown the incident rate of gliomas to be 6 per 100,000 individuals per year globally. Despite the various therapeutics used in the treatment of glioma, patient survival rate remains at a median of 15 months after undergoing first-line treatment including surgery, radiation, and chemotherapy with Temozolomide. As such, the discovery of newer and more effective therapeutic agents is imperative for patient survival rate. The advent of computer-aided drug design in the development of drug discovery has emerged as a powerful means to ascertain potential hit compounds with distinctively high therapeutic effectiveness against glioma. This review encompasses the recent advances of bio-computational in-silico modeling that have elicited the discovery of small molecule inhibitors and/or drugs against various therapeutic targets in glioma. The relevant information provided in this report will assist researchers, especially in the drug design domains, to develop more effective therapeutics against this global disease.