Radhika P V, J T Anandhi, S K Amjath Kudos, R S Bemina, Binisha B, S Madhan Kumar, T Joselin Beaula
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Efficient structure elucidation and investigation on the antibacterial activity of Carbamide-Butanedioic Acid: DFT perspectives.
In the quest to combat rising antimicrobial resistance, this study explores the synthesis, characterization, and pharmacological potential of carbamide compounds combined with Butanedioic acid. Leveraging both experimental and computational methodologies, we synthesized Carbamide-Butanedioic Acid (CBA) crystals through a controlled evaporation process. Characterization was conducted using techniques such as FT-IR, UV-visible spectroscopy, powder X-ray diffraction (PXRD), and scanning electron microscopy (SEM). These methods elucidated the crystal structure, molecular interactions, and physicochemical properties of the synthesized compounds. Computational studies, employing Density Functional Theory (DFT) and other quantum chemical calculations, provided insights into the molecular geometry, vibrational spectra, and electronic properties, including the identification of reactive sites and intermolecular interactions. The antibacterial efficacy of the synthesized compounds was assessed using the agar well diffusion method, revealing promising inhibitory effects against bacterial pathogens. This study highlights CBA compounds as promising next-generation antibacterial agents, providing a new approach to tackle antimicrobial resistance.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.