Abstract

The concept of “one target, one drug, one disease” is not always true, as compounds with previously described therapeutic applications can be useful to treat other maladies. For example, acridine derivatives have several potential therapeutic applications. In this way, identifying new potential targets for available drugs is crucial for the rational management of diseases. Computational methodologies are interesting tools in this field, as they use rational and direct methods. Thus, this study focused on identifying other rational targets for acridine derivatives by employing inverse virtual screening (IVS). This analysis revealed that chitinase enzymes can be potential targets for these compounds. Subsequently, we coupled molecular docking consensus analysis to screen the best chitinase inhibitor among acridine derivatives. We observed that 3 compounds displayed potential enhanced activity as fungal chitinase inhibitors, showing that compound 5 is the most active molecule, with an IC50 of 0.6 ng/µL. In addition, this compound demonstrated a good interaction with the active site of chitinases from Aspergillus fumigatus and Trichoderma harzianum. Additionally, molecular dynamics and free energy demonstrated complex stability for compound 5. Therefore, this study recommends IVS as a powerful tool for drug development. The potential applications are highlighted as this is the first report of spiro-acridine derivatives acting as chitinase inhibitors that can be potentially used as antifungal and antibacterial candidates.

Details

Title
Scaffold repositioning of spiro-acridine derivatives as fungi chitinase inhibitor by target fishing and in vitro studies
Author
de Oliveira Viana, Jéssika 1   VIAFID ORCID Logo  ; Silva e Souza, Eden 2   VIAFID ORCID Logo  ; Sbaraini, Nicolau 3   VIAFID ORCID Logo  ; Vainstein, Marilene Henning 3   VIAFID ORCID Logo  ; Gomes, Joilly Nilce Santana 4   VIAFID ORCID Logo  ; de Moura, Ricardo Olímpio 4   VIAFID ORCID Logo  ; Barbosa, Euzébio Guimarães 5   VIAFID ORCID Logo 

 Federal University of Rio Grande do Norte, Post-Graduate Program in Bioinformatics, Bioinformatics Multidisciplinary Environment, Natal, Brazil (GRID:grid.411233.6) (ISNI:0000 0000 9687 399X) 
 University College Dublin, School of Biomolecular and Biomedical Science & BiOrbic-Bioeconomy Research Center, Dublin, Ireland (GRID:grid.7886.1) (ISNI:0000 0001 0768 2743) 
 Federal University of Rio Grande do Sul, Biotechnology Center, Postgraduate Program in Cellular and Molecular Biology, Porto Alegre, Brazil (GRID:grid.8532.c) (ISNI:0000 0001 2200 7498) 
 State University of Paraíba, Department of Biological Sciences, Campina Grande, Brazil (GRID:grid.412307.3) (ISNI:0000 0001 0167 6035) 
 Federal University of Rio Grande do Norte, Post-Graduate Program in Bioinformatics, Bioinformatics Multidisciplinary Environment, Natal, Brazil (GRID:grid.411233.6) (ISNI:0000 0000 9687 399X); Federal University of Rio Grande do Norte, Post-Graduate Program in Pharmaceutical Sciences, Faculty of Pharmacy, Natal, Brazil (GRID:grid.411233.6) (ISNI:0000 0000 9687 399X) 
Pages
7320
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2809996972
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.