To design and develop novel antimicrobial agents, a series of phthalimide-triazine-based derivatives (6a-6e) were synthesized, characterized and evaluated for their potential antibacterial activities. The compounds were prepared through reaction of 6-phenyl-1,3,5-triazine-2,4-diamine with phthalimide moiety containing aliphatic amino acid. Structural analysis of the synthesized compounds was carried out by various characterization techniques such as FT-IR, H and C-NMR and mass spectroscopy. After the confirmation of the structure, the antibacterial screening of the synthesized compounds was performed against two strains of Gram-positive (Staphylococcus aureus, and Bacillus subtilis) and two strains of Gram-negative (Escherichia coli and Salmonella enteritidis) bacteria. The results of antimicrobial activity showed that compound 6d was the most active against all the tested strains of microorganisms with the MIC value 1.25 µg/µl. The synthesized compounds were docked into the binding sites of E. coli-DNA gyrase B and S. aureus-DNA gyrase complex to explore their theoretically binding mode and possible interactions of these ligands with these two targets. Docking study showed the importance of both hydrogen bonding and hydrophobic interactions as a key interaction with the targets. Based on the obtained results, the hybrid derivatives of triazine and phthalimide could be regarded as efficient candidates for further molecular developments of antimicrobial agents.
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Dalton Trans
January 2025
Department of Chemistry, University of Victoria, P.O. Box 3065, Victoria, BC V8W 3 V6, Canada.
A charge-tagged N-heterocyclic carbene (NHC) has been synthesized and its utility in allowing the dynamic behaviour of metal complexes to be monitored in real time using electrospray ionization mass spectrometry demonstrated. This compound was used to prepare different metal-NHC complexes, and the kinetic behaviour of complex formation and ligand exchange was monitored in real time through the use of pressurized sample infusion electrospray mass spectrometry (PSI-ESI-MS).
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January 2025
Department of Plant Physiology, Institute for Biological Research "Siniša Stanković" - National Institute of Republic of Serbia University of Belgrade Belgrade Serbia.
(L.) Roxb. and (L.
View Article and Find Full Text PDFRSC Med Chem
October 2024
Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences 200241 Shanghai China
Bacterial infections pose a threat to human and animal health, and the formation of biofilm exacerbates the microbial threat. New antimicrobial agents to address this challenge are much needed. In this study, several new amphoteric compounds derived from the natural product coumarin were designed and synthesized by mimicking the structure and function of antimicrobial peptides.
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January 2025
Institute of Organic Chemistry, Justus Liebig University 35392 Giessen Germany https://www.uni-giessen.de/de/fbz/fb08/Inst/organische-chemie/AGGoettlich.
Parasites account for huge economic losses by infecting agriculturally important plants and animals. Furthermore, morbidity and death caused by parasites affect a large part of the world population, especially in economically weak regions. Anthelmintic drugs to tackle this challenge remain scarce and their efficiency becomes increasingly endangered by the advent of drug resistance development.
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January 2025
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan.
Drugs that interact with multiple therapeutic targets are potential high-value products in polypharmacology-based drug discovery, but the rational design remains a formidable challenge. Here, we present artificial intelligence (AI)-based methods to design the chemical structures of compounds that interact with multiple therapeutic target proteins. The molecular structure generation is performed by a fragment-based approach using a genetic algorithm with chemical substructures and a deep learning approach using reinforcement learning with stochastic policy gradients in the framework of generative adversarial networks.
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