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Authors: A. Saraiva 1 ; J. Soares 2 ; Nator Costa 2 ; José Sousa 3 ; N. Ferreira 4 ; Antonio Valente 5 and Salviano Soares 6

Affiliations: 1 UESPI-University of State Piauí, Piripiri, Brazil, School of Science and Technology, University of Trás-os-Montes and Alto Douro, Vila Real and Portugal ; 2 UESPI-University of State Piauí, Piripiri and Brazil ; 3 University Brazil, São Paulo, Brazil, UESPI-University of State Piauí, Piripiri and Brazil ; 4 Department of Electrical Engineering, Institute of Engineering of Coimbra, Polytechnic Institute, Coimbra, Portugal, Knowledge Engineering and Decision-Support Research Center (GECAD) of the Institute of Engineering, Polytechnic Institute of Porto, Porto and Portugal ; 5 School of Science and Technology, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal, NESC-TEC Technology and Science, Campus da FEUP, Rua Dr. Roberto Frias, 378, 4200 - 465, Porto and Portugal ; 6 University of Trás-os-Montes and Alto Douro, Vila Real and Portugal

ISBN: 978-989-758-353-7

Keyword(s): Drugs, Diabetes, Molecular Docking.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Computational Molecular Systems ; Image Analysis ; Pharmaceutical Applications ; Structural Bioinformatics

Abstract: The lack of physical activity and poor nutrition triggers various diseases, among them is diabetes. In this context, several researches seek ways that can mitigate these diseases to provide a better quality of life for people. Therefore, the present work aims to analyze the possible inhibitors of the enzyme Dipeptidil Peptidase 4 that hypotheses will be stipulated for the creation of new drugs through molecular docking techniques, that is, a computational simulation of combinations of drugs of the family of gliptins with other antidiabetics (metformin, glyburide and cucurbitacin). Among the results, it was observed that the antidiabetic cucurbitacin combined with the gliptines obtained greater energy during the process.

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Paper citation in several formats:
Saraiva, A.; Soares, J.; Costa, N.; Sousa, J.; Ferreira, N.; Valente, A. and Soares, S. (2019). Study of Dipeptidil Peptidase 4 Inhibitors based on Molecular Docking Experiments.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS: BIOINFORMATICS, ISBN 978-989-758-353-7, pages 322-330. DOI: 10.5220/0007692203220330

@conference{bioinformatics19,
author={A. A. Saraiva. and J. N. Soares. and Nator Junior C. Costa. and José Vigno M. Sousa. and N. M. Fonseca Ferreira. and Antonio Valente. and Salviano Soares.},
title={Study of Dipeptidil Peptidase 4 Inhibitors based on Molecular Docking Experiments},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS: BIOINFORMATICS,},
year={2019},
pages={322-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007692203220330},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3 BIOINFORMATICS: BIOINFORMATICS,
TI - Study of Dipeptidil Peptidase 4 Inhibitors based on Molecular Docking Experiments
SN - 978-989-758-353-7
AU - Saraiva, A.
AU - Soares, J.
AU - Costa, N.
AU - Sousa, J.
AU - Ferreira, N.
AU - Valente, A.
AU - Soares, S.
PY - 2019
SP - 322
EP - 330
DO - 10.5220/0007692203220330

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