Pharmacokinetics, quantum chemistry, and molecular modeling analysis of six potential drug candidates for Chagas disease: posaconazole, K777, phenarimol derivative, BZTS, isoxazole analog, and derivative of 4-arylaminonoline-3-carbonitrile

Read full text
Authors: Gabriel Christian de Farias Morais, Marianna de Oliveira Corrêa, Daniel Melo de Oliveira Campos, Samira Sanami, Shahina Akter, Magdi Zaki, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira
Cited by: 0

Abstract

Chagas disease, caused by Trypanosoma cruzi, lacks safe and effective therapies. This study aimed to prioritize antichagasic candidates by integrating in silico pharmacokinetics, ADMET (absorption, distribution, metabolism, excretion and toxicity) profile and molecular modeling, focusing on cruzain as a key target. Six prototypes: posaconazole, vinyl sulfone peptide analog, phenarimol derivative, 4-nitrobenzaldehyde thiosemicarbazone (BZTS), an isoxazole analog and a 4-arylaminonoline-3-carbonitrile derivative; were profiled using multi-platform ADMET prediction, quantum calculations, molecular docking and QM/MM (Quantum Mechanics/Molecular Mechanics) refinement of cruzain complexes. BZTS showed high human intestinal absorption, balanced aqueous solubility, optimal plasma protein binding and limited interaction with major cytochrome P450 isoforms, indicating favorable exposure and a low risk of drug – drug interactions. Toxicity models indicated reduced risk of cardiotoxicity, carcinogenicity and hepatotoxicity compared with the other prototypes. Quantum descriptors supported a stable but reactive electronic structure, with a HOMO – LUMO gap of 2.482 eV. Docking and QM/MM analyses revealed strong binding of BZTS to cruzain, with key contacts involving residues GLU208, MET68, LEU67 and ASN69. An integrated in silico pipeline consistently identified BZTS as the most promising antichagasic prototype, combining advantageous ADMET properties with favorable quantum-chemical features and cruzain binding, and supporting its prioritization for experimental validation.

Fields of Study & Subjects

Computational Drug Discovery Methods Trypanosoma species research and implications Synthesis and Characterization of Heterocyclic Compounds

Publication details

Journal / source
Figshare
Publication date
3 March 2026
Language
EN
Document type
Dataset