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Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases

Neurodegenerative diseases, such as Parkinson's and Alzheimer's, are understood as occurring through genetic, cellular, and multifactor pathophysiological mechanisms. Several natural products such as flavonoids have been reported in the literature for having the capacity to cross the blood...

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Autores principales: Monteiro, Alex France M., Viana, Jéssika De O., Nayarisseri, Anuraj, Zondegoumba, Ernestine N., Mendonça Junior, Francisco Jaime B., Scotti, Marcus Tullius, Scotti, Luciana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332933/
https://www.ncbi.nlm.nih.gov/pubmed/30693065
http://dx.doi.org/10.1155/2018/7912765
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author Monteiro, Alex France M.
Viana, Jéssika De O.
Nayarisseri, Anuraj
Zondegoumba, Ernestine N.
Mendonça Junior, Francisco Jaime B.
Scotti, Marcus Tullius
Scotti, Luciana
author_facet Monteiro, Alex France M.
Viana, Jéssika De O.
Nayarisseri, Anuraj
Zondegoumba, Ernestine N.
Mendonça Junior, Francisco Jaime B.
Scotti, Marcus Tullius
Scotti, Luciana
author_sort Monteiro, Alex France M.
collection PubMed
description Neurodegenerative diseases, such as Parkinson's and Alzheimer's, are understood as occurring through genetic, cellular, and multifactor pathophysiological mechanisms. Several natural products such as flavonoids have been reported in the literature for having the capacity to cross the blood-brain barrier and slow the progression of such diseases. The present article reports on in silico enzymatic target studies and natural products as inhibitors for the treatment of Parkinson's and Alzheimer's diseases. In this study we evaluated 39 flavonoids using prediction of molecular properties and in silico docking studies, while comparing against 7 standard reference compounds: 4 for Parkinson's and 3 for Alzheimer's. Osiris analysis revealed that most of the flavonoids presented no toxicity and good absorption parameters. The Parkinson's docking results using selected flavonoids as compared to the standards with four proteins revealed similar binding energies, indicating that the compounds 8-prenylnaringenin, europinidin, epicatechin gallate, homoeriodictyol, capensinidin, and rosinidin are potential leads with the necessary pharmacological and structural properties to be drug candidates. The Alzheimer's docking results suggested that seven of the 39 flavonoids studied, being those with the best molecular docking results, presenting no toxicity risks, and having good absorption rates (8-prenylnaringenin, europinidin, epicatechin gallate, homoeriodictyol, aspalathin, butin, and norartocarpetin) for the targets analyzed, are the flavonoids which possess the most adequate pharmacological profiles.
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spelling pubmed-63329332019-01-28 Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases Monteiro, Alex France M. Viana, Jéssika De O. Nayarisseri, Anuraj Zondegoumba, Ernestine N. Mendonça Junior, Francisco Jaime B. Scotti, Marcus Tullius Scotti, Luciana Oxid Med Cell Longev Research Article Neurodegenerative diseases, such as Parkinson's and Alzheimer's, are understood as occurring through genetic, cellular, and multifactor pathophysiological mechanisms. Several natural products such as flavonoids have been reported in the literature for having the capacity to cross the blood-brain barrier and slow the progression of such diseases. The present article reports on in silico enzymatic target studies and natural products as inhibitors for the treatment of Parkinson's and Alzheimer's diseases. In this study we evaluated 39 flavonoids using prediction of molecular properties and in silico docking studies, while comparing against 7 standard reference compounds: 4 for Parkinson's and 3 for Alzheimer's. Osiris analysis revealed that most of the flavonoids presented no toxicity and good absorption parameters. The Parkinson's docking results using selected flavonoids as compared to the standards with four proteins revealed similar binding energies, indicating that the compounds 8-prenylnaringenin, europinidin, epicatechin gallate, homoeriodictyol, capensinidin, and rosinidin are potential leads with the necessary pharmacological and structural properties to be drug candidates. The Alzheimer's docking results suggested that seven of the 39 flavonoids studied, being those with the best molecular docking results, presenting no toxicity risks, and having good absorption rates (8-prenylnaringenin, europinidin, epicatechin gallate, homoeriodictyol, aspalathin, butin, and norartocarpetin) for the targets analyzed, are the flavonoids which possess the most adequate pharmacological profiles. Hindawi 2018-12-30 /pmc/articles/PMC6332933/ /pubmed/30693065 http://dx.doi.org/10.1155/2018/7912765 Text en Copyright © 2018 Alex France M. Monteiro et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Monteiro, Alex France M.
Viana, Jéssika De O.
Nayarisseri, Anuraj
Zondegoumba, Ernestine N.
Mendonça Junior, Francisco Jaime B.
Scotti, Marcus Tullius
Scotti, Luciana
Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases
title Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases
title_full Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases
title_fullStr Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases
title_full_unstemmed Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases
title_short Computational Studies Applied to Flavonoids against Alzheimer's and Parkinson's Diseases
title_sort computational studies applied to flavonoids against alzheimer's and parkinson's diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332933/
https://www.ncbi.nlm.nih.gov/pubmed/30693065
http://dx.doi.org/10.1155/2018/7912765
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