Molecular docking analysis of quercetin with known CoVid-19 targets.

Combat and care during CoVid-19 was non-trivial. Therefore, it is of interest to use the pharmacologically active plant component quercetin for the treatment of CoVid-19. Quercetin exhibits favourable ADMET values and abides by Lipinski's rule of five. When quercetin and remdesivir were positioned in relation to the CoVid-19 targets, quercetin exhibited a greater propensity for binding and H-bond interaction in their molecular interactions. Thus, the quercetin molecule can be used to manage CoVid-19.

Molecular docking analysis of triterpenoids from Cassia fistula with breast cancer targets.

Breast cancer is a well-known complex disease. The availability of different screening approaches and booming phytochemical drug synthesis can contribute towards breast cancer treatment. Hence, we document the molecular docking analysis of triterpenoids from Cassia fistula with breast cancer targets.

Molecular docking analysis of tetracyclic triterpenoids from Cassia fistula L. with targets for diabetes mellitus.

It is of interest to develop effective drugs for diabetes mellitus. We document the molecular docking analysis data of tetra-cyclic-tri-terpenoids from Cassia fistula L. with targets for diabetes mellitus.

Octyl gallate and gallic acid isolated from Terminalia bellarica regulates normal cell cycle in human breast cancer cell lines.

Herbal medicines stand unique and effective in treating human diseases. Terminalia bellarica (T. bellarica) is a potent medicinal herb, with a wide range of pharmacological activities. The present study was aimed to evaluate the effect of octyl gallate (OG) and gallic acid (GA) isolated from methanolic fruit extract of T. bellirica to inhibit the survival of breast cancer cells (MCF-7 & MDA-MB-231). Both OG & GA exhibited decreased MCF-7 & MDA-MB-231 survival and induced apoptosis, with IC50 value of OG and GA as 40 µM and 80 µM respectively. No toxic effect was observed on normal breast cells (MCF-10A). The compounds inhibited cell cycle progression by altering the expression of the cell cycle regulators (Cyclin D1, D3, CDK-4, CDK-6, p18 INK4, p21Waf-1 and p27 KIP). Octyl gallate was more effective at low concentrations than GA. In-silico results provided stable interactions between the compounds and target proteins. The present investigation proved the downregulation of positive cell cycle regulators and upregulation of negative cell cycle regulators inducing apoptosis in compound-treated breast cancer cells. Hence, both the compounds may serve as potential anticancer agents and could be developed as breast cancer drugs, with further explorations.

Cytotoxic Impact of Costunolide Isolated from Costus speciosus on Breast Cancer via Differential Regulation of Cell Cycle-An In-vitro and In-silico Approach.

Costunolide, a sesquiterpene lactone, is a biologically active molecule found in most of the medicinally valuable plants. The present study aims to evaluate the anticancer property of costunolide isolated from Costus speciosus against breast cancer cell lines (MCF-7 and MDA-MB-231). Costunolide effectively reduced the viability of both MCF-7 and MDA-MB-231 cell lines at an IC50 value of 40 µM. Flow cytometric analysis revealed costunolide mediated cell cycle arrest at G2/M phase in both the cell types. Western blotting results confirmed the alterations in the expression of cell cycle regulators (cyclin D1, D3, CDK-4, CDK-6, p18 INK4c, p21 CIP1/Waf-1 and p27 KIP1) and apoptosis inducers (caspase-3 and caspase-9) upon costunolide treatment in comparison with their expressions in normal breast cell line (MCF-10A). Costunolide mediated downregulation of positive cell cycle regulators and upregulation of negative cell cycle regulators were related to the induction of apoptosis in cancer cells. The above results were validated with in-silico results that predicted stable interactions between costunolide and cancer targets. Thus costunolide effectively induced breast cancer cell apoptosis targeting cell cycle regulation, and the compound can be used as an effective herbal therapeutic molecule to treat breast cancer with further explorations.

Structure based virtual screening of anticanerous polyphenolic phytocompounds against G-protein coupled receptor and identification of potent antagonist ligand(s) through molecular docking.

Design of potential drug-like candidates for cancer is of interest in recent years. We used 60 compounds which are known to have the potential to down regulate Nuclear Factor kappaB (NFκB) for this study. The compounds were assessed for Lipinski's RO5 and ADMET properties. Allixin, anethole, capsaicin, linearol and syringic acid satisfied both Lipinski's RO5 and ADMET properties. These compounds showed strong molecular interaction with receptor GPCR55 indicating they have ability to block GPCR55. Thus, their role in anticellular proliferation and induction of apoptosis is implied.

Database on pharmacophore analysis of active principles, from medicinal plants.

UNLABELLED: Plants continue to be a major source of medicines, as they have been throughout human history. In the present days, drug discovery from plants involves a multidisciplinary approach combining ethnobotanical, phytochemical and biological techniques to provide us new chemical compounds (lead molecules) for the development of drugs against various pharmacological targets, including cancer, diabetes and its secondary complications. In view of this need in current drug discovery from medicinal plants, here we describe another web database containing the information of pharmacophore analysis of active principles possessing antidiabetic, antimicrobial, anticancerous and antioxidant properties from medicinal plants. The database provides the botanical, taxonomic classification, biochemical as well as pharmacological properties of medicinal plants. Data on antidiabetic, antimicrobial, anti oxidative, anti tumor and anti inflammatory compounds, and their physicochemical properties, SMILES Notation, Lipinski's properties are included in our database. One of the proposed features in the database is the predicted ADMET values and the interaction of bioactive compounds to the target protein. The database alphabetically lists the compound name and also provides tabs separating for anti microbial, antitumor, antidiabetic, and antioxidative compounds. AVAILABILITY: http://www.hccbif.info /