Fluconazole-Like Compounds as Potential Antifungal Agents: QSAR, Molecular Docking, and Molecular Dynamics Simulation

Abstract

Today, fungal infection has become more common disease especially in some cases, such as AIDS, cancer, and organ transplant which the immune system is suppressed. On the other hand, due to the increasing resistance to current antifungal drugs, more and more options for design of novel more efficient compounds with higher resistance are needed. In this study, a series of a fluconazole analogues were subjected to quantitative structure-activity relationship analysis to find the structure requirements for modeling adequate candidate. The best multiple linear regression equation was achieved from GA-PLS and MLR modeling. Subsequently, in silico screening study was applied to found new potent lead compounds based on the resulted model. The ability of the best designed compounds for antifungal activity was investigated by using molecular dynamic (MD) and molecular docking simulation. The results showed that compound F13 can efficiently bind to lanestrol 14-α demethylase target similar to other antifungal azoles. The molecular docking studies revealed an interesting binding profile with very high receptor affinity to the CYP51 active site. The triazole moiety of ligand F13 pointed to HEM group in lanestrol 14-α demethylase site and coordinated to Fe of HEM through its N4 atom. Also, there was a convenient relevance between QSAR and docking results. With the compound F13 which demonstrated the most promising minimum inhibitory concentration (MIC) values, it can be concluded that F13 is appropriate candidate for the development as antifungal agent.