Identification of benzothiazole-rhodanine derivatives as α-amylase and α-glucosidase inhibitors: Design, synthesis, in silico, and in vitro analysis.

A novel series of benzothiazole-rhodanine derivatives (A1-A10) were designed and synthesized, with the aim of developing possible antidiabetic agents and the spectral characterization of these compounds was done using infrared spectroscopy (IR), proton-nuclear magnetic resonance (1 H-NMR), carbon-nuclear magnetic resonance (C13 -NMR), and high resolution mass spectroscopy (HR-MS) techniques. In vitro hypoglycemic potential of the compounds was evaluated by performing α-amylase and α-glucosidase enzyme inhibitory assays. In addition, these compounds were subjected to in silico analysis. Based on the results, compounds A5, A6, and A9 displayed good activity in comparison with the standard acarbose. Based on Lineweaver-Burk plots, it was concluded that compounds A5 and A9 displayed competitive type of enzyme inhibition. Molecular dynamic simulations were conducted to evaluate the stability of the ligand-protein complex by the calculation of the root mean square deviation, root means square fluctuation, and solvent accessible surface area.

Design, parallel synthesis of Biginelli 1,4-dihydropyrimidines using PTSA as a catalyst, evaluation of anticancer activity and structure activity relationships via 3D QSAR studies.

Biginelli 1,4-dihydropyrimidines are extensively screened for their potential anticancer activity in the last decade. In this context, a series of Biginelli 1,4-dihydropyrimidines were designed and synthesised using PTSA as an efficient catalyst. The synthesised 1,4-dihydropyrimidines were screened for their anticancer activity against MCF-7 breast cancer cells by measuring cytotoxicity. The compounds exhibited activity ranging from weak to significant in terms of percentage cytotoxicity which is proportional to the anticancer activity. Amongst the screened compounds, compounds 4, 6 and 8 exhibited potential anticancer activity. Furthermore, CoMSIA studies were performed to derive the structure activity relationships in a 3D grid space by plotting experimental vs predicted cytotoxic activities. We have an opinion that, this developed model helps us in future to develop more potential 1,4-dihydropyrimidines for their cytotoxicity or anticancer activity.