Computational exploration of Ganoderma lucidum metabolites as potential anti-atherosclerotic agents: Insights from molecular docking and dynamics simulations

Abstract

Ganoderma lucidum is a unique form of fungus utilized in Chinese medicine for various therapies as it exhibits a wide range of pharmacological activity. In this study, the purpose is to evaluate the possible drug-like qualities of the metabolites of G. lucidium as well as the impact that these metabolites have on the pathways involved in atherosclerosis. Throughout our research, a total of 17 compounds were chosen based on their drug-like properties. These compounds were then utilized in the subsequent networking and docking simulations. According to the findings, the compound ganodone has a maximum binding energy of −7.243 Kcal/mol. In terms of the binding energy, it has been discovered that the compound cianidanol has the lowest value. Based on the findings of the molecular docking investigations, it was determined that TNF, AKT1, SRC, and STAT3 exhibited a higher affinity for the complex. To determine this, molecular dynamics simulation was performed for about 100 nanoseconds. Following the completion of the GO functional analysis, it was discovered that the target genes were involved in the processes of protein binding, ATP binding, enzyme binding, and protein tyrosine kinase activity. Overall, the study results provide a view of possible metabolites that may have an impact on disease progression.