Cheminformatics-driven discovery of hit compounds against Paracoccidioides spp.

Author:

de Oliveira Amanda Alves12ORCID,Carmo Silva Lívia do2ORCID,Neves Bruno Junior3ORCID,Fiaia Costa Vinícius Alexandre3ORCID,Muratov Eugene N45ORCID,Andrade Carolina Horta6ORCID,de Almeida Soares Célia Maria2ORCID,Alves Vinicius M46ORCID,Pereira Maristela2ORCID

Affiliation:

1. Institute of Tropical Pathology & Public Health, Federal University of Goiás, Goiânia, 74690-900, Brazil

2. Laboratory for Molecular Biology, Institute of Biological Sciences, Federal University of Goiás, 74690-900, Brazil

3. Laboratory of Cheminformatics, Faculty of Pharmacy, Federal University of Goiás, 74690-900, Brazil

4. Laboratory for Molecular Modeling, Division of Chemical Biology & Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, NC 27599, USA

5. Department of Pharmaceutical Sciences, Federal University of Paraiba, Joao Pessoa, 58051-900, Brazil

6. Laboratory for Molecular Modeling & Design, Faculty of Pharmacy, Federal University of Goiás, 74690-900, Brazil

Abstract

Aims: The development of safe and effective therapies for treating paracoccidioidomycosis using computational strategies were employed to discover anti- Paracoccidioides compounds. Materials & methods: We 1) collected, curated and integrated the largest library of compounds tested against Paracoccidioides spp.; 2) employed a similarity search to virtually screen the ChemBridge database and select nine compounds for experimental evaluation; 3) performed an experimental evaluation to determine the minimum inhibitory concentration and minimum fungicidal concentration as well as cytotoxicity; and 4) employed computational tools to identify potential targets for the most active compounds. Seven compounds presented activity against Paracoccidioides spp. Conclusion: These compounds are new hits with a predicted mechanisms of action, making them potentially attractive to develop new compounds.

Publisher

Future Science Ltd

Subject

Drug Discovery,Pharmacology,Molecular Medicine

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