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Computer-aided drug design approaches applied to screen natural product's structural analogs targeting arginase in Leishmania spp.

Authors :
Barazorda-Ccahuana HL
Goyzueta-Mamani LD
Candia Puma MA
Simões de Freitas C
de Sousa Vieria Tavares G
Pagliara Lage D
Ferraz Coelho EA
Chávez-Fumagalli MA
Source :
F1000Research [F1000Res] 2023 Jul 13; Vol. 12, pp. 93. Date of Electronic Publication: 2023 Jul 13 (Print Publication: 2023).
Publication Year :
2023

Abstract

Introduction: Leishmaniasis is a disease with high mortality rates and approximately 1.5 million new cases each year. Despite the new approaches and advances to fight the disease, there are no effective therapies. Methods: Hence, this study aims to screen for natural products' structural analogs as new drug candidates against leishmaniasis. We applied Computer-aided drug design (CADD) approaches, such as virtual screening, molecular docking, molecular dynamics simulation, molecular mechanics-generalized Born surface area (MM-GBSA) binding free estimation, and free energy perturbation (FEP) aiming to select structural analogs from natural products that have shown anti-leishmanial and anti-arginase activities and that could bind selectively against the Leishmania arginase enzyme. Results: The compounds 2H-1-benzopyran, 3,4-dihydro-2-(2-methylphenyl)-(9CI), echioidinin, and malvidin showed good results against arginase targets from three parasite species and negative results for potential toxicities. The echioidinin and malvidin ligands generated interactions in the active center at pH 2.0 conditions by MM-GBSA and FEP methods. Conclusions: This work suggests the potential anti-leishmanial activity of the compounds and thus can be further in vitro and in vivo experimentally validated.<br />Competing Interests: No competing interests were disclosed.<br /> (Copyright: © 2023 Barazorda-Ccahuana HL et al.)

Details

Language :
English
ISSN :
2046-1402
Volume :
12
Database :
MEDLINE
Journal :
F1000Research
Publication Type :
Academic Journal
Accession number :
37424744
Full Text :
https://doi.org/10.12688/f1000research.129943.3