Bioactive structures for inhibitors of <i>Candida auris</i> polymerase enzyme by artificial intelligence
Clinical studies are recommended to test its efficacy, contributing to the development of new treatments for <i>C. auris</i> infections.
Authors
- Sadrack Queque Cabongo (ORCID: https://orcid.org/0000-0003-1369-2336)
- Manuela Polidoro Lima (ORCID: https://orcid.org/0000-0002-9366-7829)
- Maria Mabelle Pereira Costa Paiva (ORCID: https://orcid.org/0000-0002-5357-9963)
- Francisco das Chagas Lima Pinto (ORCID: https://orcid.org/0000-0003-1481-7970)
- Moisés Maia Neto (ORCID: https://orcid.org/0000-0002-9337-2043)
- Aluísio Marques da Fonseca (ORCID: https://orcid.org/0000-0002-8112-9513)
- Emmanuel Silva Marinho (ORCID: https://orcid.org/0000-0002-4774-8775)
- Bernardino Joaquim Caluaco (ORCID: https://orcid.org/0000-0002-1375-6320)
- Junilson Martinho Canjanja Madureira (ORCID: https://orcid.org/0000-0002-5315-6071)
- Pedro Ferreira Barbosa Joao
- Regilany Paulo Colares
- Hélcio Silva dos Santos
Institutions
- Universidade Estadual do Ceará (BR)
- University for International Integration of the Afro-Brazilian Lusophony (BR)
- Universidade Regional do Cariri (BR)
- Centro Universitário do Rio Grande do Norte (BR)
- Faculdade Metropolitana de Manaus
Publication Details
- Journal
- Future Medicinal Chemistry
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1080/17568919.2025.2491301
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50