Exploring Novel Coumarin-Tethered Bis-Triazoles: Apoptosis Induction in Human Pancreatic Cancer Cells, Antimicrobial Effects, and Molecular modelling Investigations.

In the present study, we identified that two representative compounds (7c and 9f) of our newly synthesized coumarin-tagged bis-triazoles induced apoptosis in human pancreatic cells (PANC-1) by caspase 3/7mediated pathway. Both 7c and 9f (IC50 = 7.15 ± 1.19 and 6.09 ± 0.79 µM, respectively) were found to be ~100 times superior against PANC-1 as compared to the standard drug Gemcitabine (IC50 = >500 µM), without showing any toxicity to the normal pancreatic epithelial cells (H6C7). Molecular docking studies further endorsed them as potential pancreatic cancer therapeutics due to their strong hydrogen bonding interactions with the epidermal growth factor receptor (EGFR) enzyme, which is overexpressed in cancerous cells including pancreatic cancer. Additionally, these compounds also showed moderate inhibitory activity against a panel of microbial strains. Overall, our findings reveal that the coumarin hybrids 7c and 9f are viable chemotypes to be adopted as templates for the development of new anticancer drugs, particularly against pancreatic cancer.

Understanding the cross-resistance of oseltamivir to H1N1 and H5N1 influenza A neuraminidase mutations using multidimensional computational analyses.

This study embarks on a comprehensive description of the conformational contributions to resistance of neuraminidase (N1) in H1N1 and H5N1 to oseltamivir, using comparative multiple molecular dynamic simulations. The available data with regard to elucidation of the mechanism of resistance as a result of mutations in H1N1 and H5N1 neuraminidases is not well established. Enhanced post-dynamic analysis, such as principal component analysis, solvent accessible surface area, free binding energy calculations, and radius of gyration were performed to gain a precise insight into the binding mode and origin of resistance of oseltamivir in H1N1 and H5N1 mutants. Three significant features reflecting resistance in the presence of mutations H274Y and I222K, of the protein complexed with the inhibitor are: reduced flexibility of the α-carbon backbone; an improved ΔEele of ~15 (kcal/mol) for H1N1 coupled with an increase in ΔGsol (~13 kcal/mol) from wild-type to mutation; a low binding affinity in comparison with the wild-type of ~2 (kcal/mol) and ~7 (kcal/mol) with respect to each mutation for the H5N1 systems; and reduced hydrophobicity of the overall surface structure due to an impaired hydrogen bonding network. We believe the results of this study will ultimately provide a useful insight into the structural landscape of neuraminidase-associated binding of oseltamivir. Furthermore, the results can be used in the design and development of potent inhibitors of neuraminidases.

Anti-cancer glycosidase inhibitors from natural products: a computational and molecular modelling perspective.

The implementation of computational tools in pharmaceutics has proven an effectual strategy in creating harmony between the physical and chemical aspects of proteins and potential inhibitors. This is achieved by bringing to life the three dimensional retrospect of biological systems, which takes into consideration computational approaches such as quantum mechanics and molecular dynamics to facilitate drug design and discovery. In this work, we aim to provide a summary of the computational aspects of naturally derived anti-cancer inhibitors targeting the enzyme family of glycosidases. Our study offers insight into the evolution of drug discovery, molecular modelling and molecular binding modes of natural product inhibitors associated with glycosidase enzymes.