Novel Acid Amine Derivatives for Their In Silico and Vitro Analysis
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This book explores the design, synthesis, spectroscopic characterisation, computational insights, and antimicrobial evaluation of novel acid-amine derivatives. It highlights the importance of amide-containing drugs, their synthesis through acid-amine coupling reactions, and the vital role of computational tools in modern drug discovery. The study utilised high-purity chemicals and advanced software to ensure reliable outcomes. Novel derivatives were successfully synthesised by coupling -COOH and -NH¿ groups with reagents such as HATU, HBTU, SOCl¿, and POCl¿, and characterised using ¹H NMR, ¹³C NMR, UV, and mass spectrometry. Computational analysis provided insights into optimised geometries, Mulliken charge distribution, molecular electrostatic potential maps, and HOMO-LUMO energy gaps via DFT. Protein-ligand interaction studies using Schrödinger software revealed significant hydrogen bonding and hydrophobic contacts. Biological evaluation further demonstrated the antimicrobial potential of these derivatives, with certain compounds showing strong activity against both Gram-positive and Gram-negative bacterial strains, identifying them as promising leads for drug development.
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This book explores the design, synthesis, spectroscopic characterisation, computational insights, and antimicrobial evaluation of novel acid-amine derivatives. It highlights the importance of amide-containing drugs, their synthesis through acid-amine coupling reactions, and the vital role of computational tools in modern drug discovery. The study utilised high-purity chemicals and advanced software to ensure reliable outcomes. Novel derivatives were successfully synthesised by coupling -COOH and -NH¿ groups with reagents such as HATU, HBTU, SOCl¿, and POCl¿, and characterised using ¹H NMR, ¹³C NMR, UV, and mass spectrometry. Computational analysis provided insights into optimised geometries, Mulliken charge distribution, molecular electrostatic potential maps, and HOMO-LUMO energy gaps via DFT. Protein-ligand interaction studies using Schrödinger software revealed significant hydrogen bonding and hydrophobic contacts. Biological evaluation further demonstrated the antimicrobial potential of these derivatives, with certain compounds showing strong activity against both Gram-positive and Gram-negative bacterial strains, identifying them as promising leads for drug development.
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