Virtual screening and repurposing of approved drugs targeting homoserine dehydrogenase from Paracoccidioides brasiliensis

Abstract

Paracoccidioidomycosis is a systemic mycosis endemic in Latin America, and one of the etiological agents of the disease is Paracoccidioides brasiliensis. Currently, available treatments present adversities, such as duration, side effects, and drug interactions. In search of new therapy possibilities, this study evaluates drugs approved for use against the homoserine dehydrogenase enzyme, by an in silico approach, which performs an important biosynthesis phase for the fungus and is not present in the human body. The three-dimensional structure of the homoserine dehydrogenase enzyme from Paracoccidioides brasiliensis was obtained by homology modeling. The model was validated, and simulations were performed for virtual screening of molecules of drugs approved from the Drugs-libs database by the MTiOpenScreen web server. Molecular dynamics in three replicas were used for four drugs with better results, and in two more molecules as a control, the HS9 with inhibition against enzyme and HON which shows inhibition against mold structure. Based on the results of molecular dynamics and the comparison of binding free energy, the drug that obtained the best result was Bemcentinib. In comparison with the controls, it presented a highly relevant affinity with - 44.63kcal/mol, in addition to good structural stability and occupation of the active site. Therefore, Bemcentinib is a promising molecule for the inhibition of PbHSD protein (homoserine dehydrogenase of Paracoccidioides brasiliensis) and a therapeutic option to be investigated.