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Investigation of The Efflux Pump Inhibitory Potential of Hexacontane Against AcrB Protein by Molecular Docking and ADMET Analysis

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Abstract

Reported that approximately 700,000 deaths occur worldwide each year due to bacterial resistance(1,2). According to the World Health Organization report in early 2017, a list of antibiotic-resistant microorganisms was published, and this list includes the Enterobacteriaceae family, which is one of those considered highly pathogenic(3,2). Antibiotic resistance occurs after a complex process involving multiple mechanisms, and the efflux pump is only one of these mechanisms(4,2). The RND efflux pump is also a mechanism from the superfamily class(5,6,7). The RND efflux pump is an AcrAB-TolC complex protein containing AcrA, AcrB and TolC protein(8,9,7). Efflux pump inhibitors can inactivate drug transport or can be used to restore the effectiveness of resistant antibiotics(10,2). However, their clinical use is not yet suitable due to toxicity11. In this study, the potential inhibitory property of the hexacontane (67.34%) component in the methanol extract of the macrofungus Fomes fomentarius against the AcrB protein (RND efflux pump) was investigated by molecular docking method, the binding relationship between the protein and ligand and in silico study and ADMET analysis. Keywords: Efflux pumps, molecular docking, efflux pumps inhibitors, antibiotic resistance, AcrB, hexacontane References: 1. García-Castro, M., Sarabia, F., Díaz-Morilla, A., & López-Romero, J. M. (2023). Approved antibacterial drugs in the last 10 years: From the bench to the clinic. Exploratory Drug Science, 1, 180–209. 2. Zhang, L., Tian, X., Sun, L., Mi, K., Wang, R., Gong, F., & Huang, L. (2024). Bacterial efflux pump inhibitors reduce antibiotic resistance. Pharmaceutics, 16, 170. 3. Lamut, A., Peterlin Mašić, L., Kikelj, D., & Tomašić, T. (2019). Efflux pump inhibitors of clinically relevant multidrug resistant bacteria. Medicinal Research Reviews, 39, 2460–2504. 4. Laws, M., Jin, P., & Rahman, K. M. (2022). Efflux pumps in Mycobacterium tuberculosis and their inhibition to tackle antimicrobial resistance. Trends in Microbiology, 30, 57–68. 5. Altınöz, E., & Altuner, E. M. (2019). Antibiotic resistance and efflux pumps. International Journal of Innovative Research and Reviews (INJIRR), 3(2), 1–9. file/995486 6. Altınöz, E., & Altuner, E. M. (2022). Observing the presence of efflux pump activities in some clinically isolated bacterial strains. International Journal of Biology and Chemistry, 15(1), 48–54. 7. Altınöz, E., Akata, E., & Altuner, E. M. (2024). Molecular docking application for the potential use of palmitic acid as an AcrB, an efflux pump protein, inhibitor. In Horizons of Innovation: Conference on Multidisciplinary Trends in Science 2024 (pp. 352-356). Futurity Research Publishing. 8. Du, D., Wang, Z., James, N. R., Voss, J. E., Klimont, E., Ohene-Agyei, T., ... & Luisi, B. F. (2014). Structure of the AcrAB-TolC multidrug efflux pump. Nature, 509(7501), 512–515. 9. Szal, T., Chauhan, S. S., Lewe, P., Rachad, F., Madre, M., Paunina, L., ... & Windshügel, B. (2023). Efflux pump-binding 4 (3-aminocyclobutyl) pyrimidin-2-amines are colloidal aggregators. Biomolecules, 13(6), Article 1000. 10. Mahey, N., Tambat, R., Chandal, N., Verma, D. K., Thakur, K. G., & Nandanwar, H. (2021). Repurposing approved drugs as fluoroquinolone potentiators to overcome efflux pump resistance in Staphylococcus aureus. Microbiology Spectrum, 9, e0095121. 11. Duffey, M., Jumde, R. P., da Costa, R. M., Ropponen, H. K., Blasco, B., & Piddock, L. J. (2024). Extending the potency and lifespan of antibiotics: Inhibitors of gram-negative bacterial efflux pumps. ACS Infectious Diseases, 10(5), 1458-1482. 12. Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2012). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews, 64, 4–17. 13. Lee, S. K., Chang, G. S., Lee, I. H., Chung, J. E., & Sung, K. Y. (2004). The PreADME: PC-based program for batch prediction of ADME properties. EuroQSAR, 9, 5–10. 14. Yang, H., Lou, C., Sun, L., Li, J., Cai, Y., Wang, Z., & others. (2019). AdmetSAR 2.0: Web-service for prediction and optimization of chemical ADMET properties. Bioinformatics, 35, 1067–1069.
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