EventsMOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed.
Published
This submission belongs to the session 03. USEDAT-03: USA-EU Data Analysis Training Prog. Work., Cambridge, UK-Bilbao, Spain-Duluth, USA, 2017 of the event MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed.
Published date
06 Jun, 2017
Citation
Pablo Henrique Delmondes, Fabricio Tarso de Moraes, Ricardo Stefani, Computational study of aromatic compounds inhibiting Trypanosoma cruzi glyceraldehyde 3-phosphate dehydrogenase, in Proceedings of MOL2NET'17, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 3rd ed., 15 January–15 December 2017, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-03-03909
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Computational study of aromatic compounds inhibiting Trypanosoma cruzi glyceraldehyde 3-phosphate dehydrogenase

Fabricio Tarso de Moraes 3
1. Coordenador dos cursos de Tec. Estética e Cosmética e Farmácia do Centro Universitário do Vale do Araguaia/UNIVAR.
2. Grupo de Pesquisa em Tecnologia Farmacêutica Centro Universitário do Vale do Araguaia/UNIVAR, Barra do Garças, MT, Brasil. R. Moreira Cabral, 1000 - Setor Mariano, Barra do Garças - MT, 78600-000
3. Laboratório de Estudos em Materiais (LEMAT), Instituto de Ciências Exatas e da Terra, Campus Universitário do Araguaia, Universidade Federal de Mato Grosso
Abstract

Chagas disease is caused by the protozoan Trypanosoma cruzi and is widely distributed throughout Latin America. Because it is a pathology neglected by the pharmaceutical industry and existing drugs have low efficacy and several side effects, interest in new drugs has been increasing. Due to the necessity of the discovery of new active compounds, the aim of this work was to relate the biological activity of natural and semi-synthetic aromatic compounds that inhibit glyceraldehyde 3-phosphate dehydrogenase enzyme. Molecular descriptors such as HOMO-LUMO frontier orbitals, partition coefficient (LogP), water solubility (LogS) and ionization potential, were calculated by molecular modeling, in addition to performing a molecular docking simulation to obtain a better molecular view of the interaction of the aromatic compounds with the active site of the enzyme. It was observed that the compounds involved in the study interacted attractively with the enzyme, in accordance with experimental studies, and had adequate solubility for good pharmacokinetics. It was also possible to relate the pharmacological activity of some compounds with the energy of the LUMO orbital. The study showed that the methodology used in this work can be used to understand the interaction of active compounds with their respective targets, saving time and resources.

Keywords
Chagas disease
molecular docking
molecular modeling
aromatic compounds
Poster
mol2net poster.pdf
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