| Literature DB >> 31654136 |
Paulo Sérgio Alves Bueno1, Franciele Abigail Vilugron Rodrigues2, Jessyka Lima Santos3, Fernanda Canduri3, Débora Carina Biavatti1, Arethusa Lobo Pimentel1, Mariane Cristóvão Bagatin4, Érika Seki Kioshima2, Gisele de Freitas Gauze4, Flavio Augusto Vicente Seixas5.
Abstract
Paracoccidioidomycosis (PCM) is a systemic mycosis caused by fungi of the genus Paracoccidioides spp., which mainly affects workers in rural regions of Latin America. Although the antifungal agents currently available for the treatment of PCM are effective in controlling the disease, many months are needed for healing, making the side effects and drug interactions relevant. In addition, conventional treatments are not able to control the sequelae left by PCM, even after the cure, justifying the search for new therapeutic options against PCM. In this context, the enzyme homoserine dehydrogenase of P. brasiliensis (PbHSD) was used to screen a library of natural products from the Zinc database using three different docking programs, i.e. Autodock, Molegro, and CLC Drugdiscovery Workbench. Three molecules (Zinc codes 2123137, 15967722, and 20611644) were better ranked than the homoserine substrate (HSE) and were used for in vitro trials of the minimum inhibitory concentration (MIC) and minimal fungicidal concentration (MCF). All three molecules presented a fungicidal profile with MICs/MCFs of 8, 32, and 128 μg mL-1, respectively. The two most promising molecules presented satisfactory results with wide therapeutic ranges in the cytotoxicity assays. Molecular dynamics simulations of PbHSD indicated that the ligands remained bound to the protein by a common mechanism throughout the simulation. The molecule with the lowest MIC value presented the highest number of contacts with the protein. The results presented in this work suggest that the molecule Zinc2123137 may be considered as a hit in the development of new therapeutic options for PCM.Entities:
Keywords: Drug discovery; Homoserine dehydrogenase; Paracoccidioides brasiliensis; Virtual screening
Mesh:
Substances:
Year: 2019 PMID: 31654136 DOI: 10.1007/s00894-019-4221-2
Source DB: PubMed Journal: J Mol Model ISSN: 0948-5023 Impact factor: 1.810