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Cheminformatics Study on Structural and Bactericidal Activity of Latest Generation β-Lactams on Widespread Pathogens
Ana Maria Raluca Gherman1,2, Nicoleta Elena Dina1, Vasile Chiș2
1Department of Molecular and Biomolecular Physics, National Institute for R&D of Isotopic and Molecular Technologies, Donat 67-103, 400293 Cluj-Napoca, Romania.
This study reports Raman spectra and DFT calculations for oxacillin, carbenicillin, and azlocillin. It reveals their chemical reactivity and bactericidal activity, proposing a novel SERS-based resistogram for A. hydrophila.
Area of Science:
- Computational Chemistry
- Spectroscopy
- Microbiology
Background:
- Penicillins are crucial antibiotics, but understanding their molecular properties and mechanisms of action is vital for combating resistance.
- Vibrational spectroscopy and computational methods offer powerful tools for characterizing drug molecules and predicting their behavior.
Purpose of the Study:
- To report and assign Raman spectra for oxacillin, carbenicillin, and azlocillin using DFT.
- To investigate the chemical reactivity and bactericidal efficiency of these penicillins.
- To develop a novel SERS-based resistogram for bacterial identification and resistance profiling.
Main Methods:
- Density Functional Theory (DFT) calculations with B3LYP/6-31G(d) and 6-311+G(2d,p) basis sets.
- Molecular docking studies.
- Frontier Molecular Orbital (FMO) and Molecular Electrostatic Potential (MEP) analyses.
- Disk diffusion method for bactericidal activity testing.
- Surface-Enhanced Raman Spectroscopy (SERS) coupled with Principal Component Analysis (PCA).
Main Results:
- Complete assignment of normal modes for oxacillin, carbenicillin, and azlocillin Raman spectra.
- Correlation between FMO/MEP data and the observed bactericidal efficiency against Gram-positive and Gram-negative bacteria.
- Successful demonstration of SERS-PCA resistogram for *A. hydrophila*.
Conclusions:
- The study provides fundamental spectroscopic and computational data for key penicillins.
- Cheminformatics and vibrational spectroscopy can predict and explain antibiotic efficacy.
- The SERS-PCA resistogram offers a promising approach for rapid clinical diagnostics and antibiotic resistance monitoring.
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