Antimicrobial Effects of 1-Monocaprylin and 1-Monocaproin Through <i>in vitro</i> Growth Inhibition and Molecular Docking Studies

Abstract

1-monocaproin and 1-monocaprylin synthesized through a novel process by the chemical reaction of glycidol and their respective fatty acids with copper acetate as the catalyst possessed the amphiphilic property. 1-monoacyl glycerols synthesized were found to exhibit antibacterial, antifungal, anti parasitic and antiviral properties. 1-monocaproin and 1-monocaprylin were able to show their antibacterial effect by inhibiting the growth of the Gram negative bacteria Escherichia coli, Pseudomonas aeruginosa and Gram positive bacteria Staphylococcus aureus, Bacillus subtilis at concentrations of 100-500 ppm. The Minimal Inhibitory Concentration (MIC) of both 1-monoacyl glycerols were found to be 0.5 ppm. 1-monocaproin and 1-monocaprylin were able to show their antifungal effect by inhibiting the growth of the filamentous fungi Mucor racemosus and Rhizopus stolonifer at the concentration of 1000 ppm. Based on the molecular interaction and common binding interaction study, 1-monocaproin is expected to exhibit a similar antiviral activity as that of Oseltamivir to H 5 N 1 influenza virus hemagglutinin. 1-monocaprylin and 1-monocaproin synthesized using copper acetate could exhibit a broad spectrum antimicrobial effect in combination with other monoacyl glycerols or with other antimicrobial agents.

Characterization and bioactivities of M. arvensis, V. officinalis and P. glabrum: In-silico modeling of V. officinalis as a potential drug source

“…Previously, the SAM synthase of Eimeria sp. was used as drug target to control the coccidiosis in poultry ( Maheswari and Revathi, 2017 ). In the current study the anti-coccidiosis potential of aqueous and methanolic extracts of V. officinalis , M. arvensis , and P. glabrum have been tested against sporulating oocysts ( In-vitro ), and the methanolic extracts of V. officinalis and P. glabrum was applied for an in-vivo experiment in chicks, The in-silico modeling of GC–MS identified phyto-constituents of methanolic extracts of V. officinalis were done.…”