PMID- 31244810 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20201001 IS - 1664-302X (Print) IS - 1664-302X (Electronic) IS - 1664-302X (Linking) VI - 10 DP - 2019 TI - Drug Repurposing for Paracoccidioidomycosis Through a Computational Chemogenomics Framework. PG - 1301 LID - 10.3389/fmicb.2019.01301 [doi] LID - 1301 AB - Paracoccidioidomycosis (PCM) is the most prevalent endemic mycosis in Latin America. The disease is caused by fungi of the genus Paracoccidioides and mainly affects low-income rural workers after inhalation of fungal conidia suspended in the air. The current arsenal of chemotherapeutic agents requires long-term administration protocols. In addition, chemotherapy is related to a significantly increased frequency of disease relapse, high toxicity, and incomplete elimination of the fungus. Due to the limitations of current anti-PCM drugs, we developed a computational drug repurposing-chemogenomics approach to identify approved drugs or drug candidates in clinical trials with anti-PCM activity. In contrast to the one-drug-one-target paradigm, our chemogenomics approach attempts to predict interactions between drugs, and Paracoccidioides protein targets. To achieve this goal, we designed a workflow with the following steps: (a) compilation and preparation of Paracoccidioides spp. genome data; (b) identification of orthologous proteins among the isolates; (c) identification of homologous proteins in publicly available drug-target databases; (d) selection of Paracoccidioides essential targets using validated genes from Saccharomyces cerevisiae; (e) homology modeling and molecular docking studies; and (f) experimental validation of selected candidates. We prioritized 14 compounds. Two antineoplastic drug candidates (vistusertib and BGT-226) predicted to be inhibitors of phosphatidylinositol 3-kinase TOR2 showed antifungal activity at low micromolar concentrations (<10 muM). Four antifungal azole drugs (bifonazole, luliconazole, butoconazole, and sertaconazole) showed antifungal activity at low nanomolar concentrations, validating our methodology. The results suggest our strategy for predicting new anti-PCM drugs is useful. Finally, we could recommend hit-to-lead optimization studies to improve potency and selectivity, as well as pharmaceutical formulations to improve oral bioavailability of the antifungal azoles identified. FAU - de Oliveira, Amanda Alves AU - de Oliveira AA AD - Laboratorio de Biologia Molecular, Universidade Federal de Goias, Goiania, Brazil. AD - Laboratorio de Cheminformatica, Centro Universitario de Anapolis, UniEVANGELICA, Anapolis, Brazil. FAU - Neves, Bruno Junior AU - Neves BJ AD - Laboratorio de Cheminformatica, Centro Universitario de Anapolis, UniEVANGELICA, Anapolis, Brazil. FAU - Silva, Livia do Carmo AU - Silva LDC AD - Laboratorio de Biologia Molecular, Universidade Federal de Goias, Goiania, Brazil. FAU - Soares, Celia Maria de Almeida AU - Soares CMA AD - Laboratorio de Biologia Molecular, Universidade Federal de Goias, Goiania, Brazil. FAU - Andrade, Carolina Horta AU - Andrade CH AD - Laboratorio de Modelagem Molecular e Design de Medicamentos, Faculdade de Farmacia, Universidade Federal de Goias, Goiania, Brazil. FAU - Pereira, Maristela AU - Pereira M AD - Laboratorio de Biologia Molecular, Universidade Federal de Goias, Goiania, Brazil. LA - eng PT - Journal Article DEP - 20190612 PL - Switzerland TA - Front Microbiol JT - Frontiers in microbiology JID - 101548977 PMC - PMC6581699 OTO - NOTNLM OT - Paracoccidioides species OT - drug repurposing OT - gene essentiality OT - genome-wide alignment OT - in vitro assays OT - molecular docking EDAT- 2019/06/28 06:00 MHDA- 2019/06/28 06:01 PMCR- 2019/06/12 CRDT- 2019/06/28 06:00 PHST- 2019/02/11 00:00 [received] PHST- 2019/05/24 00:00 [accepted] PHST- 2019/06/28 06:00 [entrez] PHST- 2019/06/28 06:00 [pubmed] PHST- 2019/06/28 06:01 [medline] PHST- 2019/06/12 00:00 [pmc-release] AID - 10.3389/fmicb.2019.01301 [doi] PST - epublish SO - Front Microbiol. 2019 Jun 12;10:1301. doi: 10.3389/fmicb.2019.01301. eCollection 2019.