Computational Identification of Potential Novel Allosteric IHF Inhibitors Using QSAR Modeling to Inhibit Plasmid-Mediated Antibiotic Resistance
Journal
International Journal of Molecular Sciences
ISSN
1422-0067
Publisher
MDPI AG
Date Issued
2026
Author(s)
Saurith-Coronell, Oscar
Sierra-Hernandez, Olimpo
Rodríguez-Macías, Juan David
Mora, José R.
Perez-Perez, Noel
Alcázar, Jackson J.
Moura, Ricardo Olimpio de
Nascimento, Igor José dos Santos
Márquez Brazón, Edgar A.
Type
text::journal::journal article
Abstract
The rapid spread of antibiotic resistance through plasmid-mediated conjugation remains a primary global health concern. Despite its critical role in horizontal gene transfer, no approved drugs currently target this process, leaving a critical therapeutic gap. Integration Host Factor (IHF), a DNA-binding protein essential for plasmid replication and mobilization, emerges as a promising yet underexplored target for anti-conjugation strategies. This work aimed to develop a predictive computational model and identify small molecules that disrupt IHF function, thereby reducing plasmid transfer and limiting resistance gene dissemination. A curated dataset of 65 compounds with reported anti-plasmid activity was analyzed using a 3D-QSAR model based on algebraic descriptors computed with QuBiLS-MIDAS. The model was validated through leave-one-out cross-validation (Q2 = 0.82), Tropsha’s criteria, and Y-scrambling. Representative compounds were selected via pharmacophore clustering and evaluated through molecular docking at both the DNA-binding site and a predicted allosteric pocket of IHF. The most promising complexes underwent 200 ns molecular dynamics simulations to assess stability and interaction patterns. The QSAR model demonstrated strong predictive performance (R2 = 0.90). Docking simulations revealed more favorable binding energies at the allosteric site (up to −12.15 kcal/mol) compared to the DNA-binding site. Molecular dynamics confirmed the stability of these interactions, with allosteric complexes showing lower RMSD fluctuations and consistent binding energy profiles. Dynamic cross-correlation analysis revealed that allosteric ligand binding induces conformational changes in key catalytic residues, including Pro65, Pro61, and Leu66. These alterations may compromise DNA recognition and disrupt the initiation of replication. To our knowledge, this is the first computational study proposing allosteric inhibition of IHF as an anti-conjugation strategy. These findings provide a foundation for experimental validation and the development of novel agents to prevent horizontal gene transfer, offering a promising approach to restoring antibiotic efficacy against multidrug-resistant pathogens. ©The authors ©MDPI.
License
Acceso Abierto
How to cite
Saurith-Coronell, O., Sierra-Hernandez, O., Rodríguez-Macías, J. D., Mora, J. R., Perez-Perez, N., Alcázar, J. J., Moura, R. O. d., Nascimento, I. J. d. S., Márquez Brazón, E. A., & Marrero-Ponce, Y. (2026). Computational Identification of Potential Novel Allosteric IHF Inhibitors Using QSAR Modeling to Inhibit Plasmid-Mediated Antibiotic Resistance. International Journal of Molecular Sciences, 27(6), 2526. https://doi.org/10.3390/ijms27062526