In-silico Investigations of quinine and quinidine as potential Inhibitors of AKR1B1 and AKR1B10: Functional and structural characterization.

The aberrant expression of aldo keto reductases (AKR1B1 & AKR1B10) has been extensively studied in different types of cancer especially the colon cancer but a very few studies have yet been reported regarding the discovery of inhibitors for the treatment of colon cancer by targeting these isozymes. Therefore, there is a need of selective inhibitors of both targets for the eradication of colon cancer. Currently, the study is focused on the exploration of two quinolone compounds i.e., (S)-(6-Methoxyquinolin-4-yl)[(1S,2R,4S,5R)-5-vinylquinuclidin-2-yl]methanol (Quinidine) and (R)-(6-Methoxyquinolin-4-yl)[(1S,2S,4S,5R)-5-vinylquinuclidin-2-yl]methanol (Quinine) as the potential inhibitors of AKR1B1 and AKR1B10 via detailed in-silico approach. The structural properties including vibrational frequencies, dipole moment, polarizability and the optimization energies were estimated using density functional theory (DFT) calculations; where both compounds were found chemically reactive. After that, the optimized structures were used for the molecular docking studies and here quinidine was found more selective towards AKR1B1 and quinine exhibited maximum inhibition of AKR1B10. The results of molecular docking studies were validated by molecular dynamics simulations which provided the deep insight of stability of protein ligand complex. At the end, the ADMET properties were determined to demonstrate the druglikeness properties of both selected compounds. These findings suggested further exploration of both compounds at molecular level using different in-vivo and in-vitro approaches that will lead to the designing of potential inhibitor of AKR1B1/AKR1B10 for curing colon cancer and related malignancies.

In Silico Prospects and Therapeutic Applications of Ouabagenin and Hydroxylated Corticosteroid Analogues in the Treatment of Lung Cancer.

Lung cancer is the second most prevalent carcinoma around the world, and about 80% of patients are of non-small cell lung cancer (NS-CLC). Epidermal growth factor receptor (EGFR) is the most expressed protein kinases in lung cancer and hence can be used in target-related anti-cancer therapy. Here, computational approach is used for the exploration of the anti-cancer potential of new steroid derivatives as previously no in vitro data was available for them. Initially, DFT calculations of all compounds were determined to analyze the electronic density of optimized structures. The HOMO and LUMO orbital analysis of all derivatives was analyzed, to investigate the reactivity of compounds. Afterwards, optimized structures were used for molecular docking studies in which all ouabagenin derivatives were docked within the EGFR active site using MOE software. Moreover, anti-cancer potential of selected derivatives was evaluated on the basis of binding interactions with three anti-cancer proteins. The binding scores of these compounds were compared with the FDA-approved drug, i.e., gefitinib. The findings of current study suggested that selected derivatives exhibited significant inhibiting potential of anti-cancer proteins and EGFR. Particularly, compound OD3 is the potent inhibitor of anti-cancer and EGFR protein with the highest binding energies. These novel steroidal derivatives are subjected to in silico analysis for the first time against lung cancer. These compounds possess potential anti-cancerous properties and can be explored further for in vitro and in vivo studies.