2024 Volume 15 Issue 4
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QSAR, Docking Studies and in Silico Admet Prediction of 1,10-Phenanthrolinone Derivatives with Antitubercular Activities


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  1. Department of Therapeutic and Organic Chemistry, UFR Pharmaceutical and Biological Sciences, FHB University, 01 BP V34 Abidjan, Côte d’Ivoire.
  2. Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Gezira, Sudan.
  3. Laboratory of Structural Organic Chemistry, UFR Structural Sciences of Matter and Technology, FHB University, 22 BP 582 Abidjan 22, Côte d’Ivoire.
  4. Department of Tuberculosis Control and Prevention, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China.
  5. University of Normandie, UNICAEN, CERMN, Caen, 14000, France.
Abstract

Research for new drugs to combat drug resistance in tuberculosis bacilli is one of the solutions to overcome this disease. In this sense, we have designed, synthesized, and fully characterized the chemical structures of about 20 derivatives of 1,10-phenanthrolinone. The evaluation of the antitubercular activities of Mycobacterium tuberculosis revealed that some of these compounds are highly active. Furthermore, the research of the structure-activity connection showed that the derivatives with the nitro group at C6, a carboxylic acid, ester, amide, or hydrazine-like function at C3, and a methyl or ethyl alkylated pyrrolic nitrogen atom at C3 had the best antitubercular activities. The QSAR studies undertaken showed that it is possible to establish a mathematical relationship between antitubercular activities and chemical structures. The obtained QSAR model highlighted that antitubercular activity was significantly affected by chemical softness (s), chemical hardness (η) and chemical potential (μ). In other words, substituents that increase the overall molecular reactivity of 1,10-phenanthrolinone will lead to good antitubercular activities. Furthermore, the prediction of ADMET properties showed that 1,10-phenanthrolinones possess good pharmacokinetic properties. Further, molecular docking confirmed the importance of the carboxylic acid chemical function in position 3 and the nitro group in position 6 for a good affinity of 6-nitro 1,10-phenanthrolinones with deazaflavin-dependent nitroreductase, chosen as a potential target.


How to cite this article
Vancouver
Songuigama C, Alzain AA, Soleymane K, N’Guessan DUJ, Gicquel B, Rochais C, et al. QSAR, Docking Studies and in Silico Admet Prediction of 1,10-Phenanthrolinone Derivatives with Antitubercular Activities. J Biochem Technol. 2024;15(4):17-25. https://doi.org/10.51847/cop0vCTgXX
APA
Songuigama, C., Alzain, A. A., Soleymane, K., N’Guessan, D. U. J., Gicquel, B., Rochais, C., Dallemagne, P., & Ouattara, M. (2024). QSAR, Docking Studies and in Silico Admet Prediction of 1,10-Phenanthrolinone Derivatives with Antitubercular Activities. Journal of Biochemical Technology, 15(4), 17-25. https://doi.org/10.51847/cop0vCTgXX
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