SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors

Detalhes bibliográficos
Autor(a) principal: Sousa, Alessandro Quaresma Durães de
Data de Publicação: 2022
Outros Autores: Cruz, Jorddy Neves da, Vale, Joyce Karen Lima
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/25515
Resumo: Tyrosinase is an enzyme that participates in melanin biosynthesis. Therefore, it is considered a very important enzyme for some physiological processes, in addition, it is involved from the browning process of some fruits to Parkinson's neurodegeneration. Thus, kojic acid is an important metabolite that has the property of inhibiting the tyrosinase enzyme in relation to the production of melanin. Thus, kojic acid is widely used in medicine, thus characterizing itself as important for certain types of treatments. Therefore, in this project we use molecular modeling approaches to analyze kojic acid derivatives, a molecular target against the tyrosinase enzyme, initially the optimization and parameterization were performed using the semi-empirical PM3 method. Subsequently, the methods were optimized by the TFD method, then using the MVD computer program, the energy calculations for the molecules were performed. Taking as a guide for the definition of structural parameters the Tropolone structure for computational analyzes targeting kojic acid and its derivatives. Thus, the results obtained in the simulations reached satisfaction. Based on the energy values obtained through the analysis, derivatives 2,3,8 and 9 are suggested as potential candidate molecules for tyrosine inhibitors.
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spelling SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitorsEstudios de SAR y de Acoplamiento Molecular para el desarrollo de nuevos inhibidores de TirosinasaEstudos de SAR e Docking Molecular para o desenvolvimento de novos inibidores da TirosinaseTirosinaÁcido kojicoNovos inibidoresModelagem molecularSARDocking. TyrosineKojic acidNew inhibitorsMolecular modelingSARDocking.TirosinaÁcido kójicoNuevos inhibidoresModelado molecularSARAcoplamiento.Tyrosinase is an enzyme that participates in melanin biosynthesis. Therefore, it is considered a very important enzyme for some physiological processes, in addition, it is involved from the browning process of some fruits to Parkinson's neurodegeneration. Thus, kojic acid is an important metabolite that has the property of inhibiting the tyrosinase enzyme in relation to the production of melanin. Thus, kojic acid is widely used in medicine, thus characterizing itself as important for certain types of treatments. Therefore, in this project we use molecular modeling approaches to analyze kojic acid derivatives, a molecular target against the tyrosinase enzyme, initially the optimization and parameterization were performed using the semi-empirical PM3 method. Subsequently, the methods were optimized by the TFD method, then using the MVD computer program, the energy calculations for the molecules were performed. Taking as a guide for the definition of structural parameters the Tropolone structure for computational analyzes targeting kojic acid and its derivatives. Thus, the results obtained in the simulations reached satisfaction. Based on the energy values obtained through the analysis, derivatives 2,3,8 and 9 are suggested as potential candidate molecules for tyrosine inhibitors.La tirosinasa es una enzima que participa en la biosíntesis de melanina. Por ello, se considera una enzima muy importante para algunos procesos fisiológicos, además, interviene desde el proceso de pardeamiento de algunas frutas hasta la neurodegeneración del Parkinson. Así, el ácido kójico es un metabolito importante que tiene la propiedad de inhibir la enzima tirosinasa en relación con la producción de melanina. Así, el ácido kójico es ampliamente utilizado en medicina, caracterizándose así como importante para cierto tipo de tratamientos. Por lo tanto, en este proyecto utilizamos enfoques de modelado molecular para el análisis de derivados del ácido kójico, un objetivo molecular contra la enzima tirosinasa, inicialmente la optimización y parametrización se realizaron utilizando el método semiempírico PM3. Posteriormente, los métodos fueron optimizados por el método TFD, luego, utilizando el programa informático MVD, se realizaron los cálculos de energía para las moléculas. Teniendo como guía para la definición de parámetros estructurales la estructura de la Tropolona para los análisis computacionales con vistas al ácido kójico y sus derivados. Así, los resultados obtenidos en las simulaciones alcanzaron la satisfacción. Con base en los valores de energía obtenidos a través de los análisis, los derivados 2,3,8 y 9 se sugieren como moléculas candidatas potenciales para inhibidores de tirosina.A tirosinase é uma enzima que participa da biossíntese da melanina. Logo, é considerada uma enzima muito importante para alguns processos fisiológicos, além disso, está envolvida desde o processo de escurecimento de algumas frutas até a neurodegeneração do Parkinson. Assim, o ácido kójico é um importante metabólito que possui a propriedade de inibição da enzima tirosinase em relação a produção de melanina. Com isso, o ácido kójico é muito utilizado na medicina, caracterizando-se dessa forma como importante para certos tipos de tratamentos. Sendo assim, neste projeto utilizamos abordagens de modelagem molecular para análises de derivados do ácido kójico, alvo molecular contra a enzima tirosinase, inicialmente a otimização e parametrização foram realizadas através do método semi-empírico PM3. Posteriormente os métodos foram otimizados pelo método TFD, em seguida utilizando o programa computacional MVD foi realizado os cálculos de energia para as moléculas. Tendo como guia para a definição de parâmetros estruturais a estrutura do Tropolone para as análises computacionais visando o ácido kójico e seus derivados. Dessa forma, os resultados obtidos nas simulações chegaram à satisfação. Baseado nos valores de energia obtidos através das análises, os derivados 2,3,8 e 9 são sugeridos como moléculas potenciais candidatos a inibidores da tirosina.Research, Society and Development2022-02-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2551510.33448/rsd-v11i2.25515Research, Society and Development; Vol. 11 No. 2; e19811225515Research, Society and Development; Vol. 11 Núm. 2; e19811225515Research, Society and Development; v. 11 n. 2; e198112255152525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/25515/22918Copyright (c) 2022 Alessandro Quaresma Durães de Sousa; Jorddy Neves da Cruz; Joyce Karen Lima Valehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSousa, Alessandro Quaresma Durães de Cruz, Jorddy Neves da Vale, Joyce Karen Lima 2022-02-07T01:42:50Zoai:ojs.pkp.sfu.ca:article/25515Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:43:46.796641Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
Estudios de SAR y de Acoplamiento Molecular para el desarrollo de nuevos inhibidores de Tirosinasa
Estudos de SAR e Docking Molecular para o desenvolvimento de novos inibidores da Tirosinase
title SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
spellingShingle SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
Sousa, Alessandro Quaresma Durães de
Tirosina
Ácido kojico
Novos inibidores
Modelagem molecular
SAR
Docking.
Tyrosine
Kojic acid
New inhibitors
Molecular modeling
SAR
Docking.
Tirosina
Ácido kójico
Nuevos inhibidores
Modelado molecular
SAR
Acoplamiento.
title_short SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
title_full SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
title_fullStr SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
title_full_unstemmed SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
title_sort SAR and Molecular Docking Studies for the development of new Tyrosinase inhibitors
author Sousa, Alessandro Quaresma Durães de
author_facet Sousa, Alessandro Quaresma Durães de
Cruz, Jorddy Neves da
Vale, Joyce Karen Lima
author_role author
author2 Cruz, Jorddy Neves da
Vale, Joyce Karen Lima
author2_role author
author
dc.contributor.author.fl_str_mv Sousa, Alessandro Quaresma Durães de
Cruz, Jorddy Neves da
Vale, Joyce Karen Lima
dc.subject.por.fl_str_mv Tirosina
Ácido kojico
Novos inibidores
Modelagem molecular
SAR
Docking.
Tyrosine
Kojic acid
New inhibitors
Molecular modeling
SAR
Docking.
Tirosina
Ácido kójico
Nuevos inhibidores
Modelado molecular
SAR
Acoplamiento.
topic Tirosina
Ácido kojico
Novos inibidores
Modelagem molecular
SAR
Docking.
Tyrosine
Kojic acid
New inhibitors
Molecular modeling
SAR
Docking.
Tirosina
Ácido kójico
Nuevos inhibidores
Modelado molecular
SAR
Acoplamiento.
description Tyrosinase is an enzyme that participates in melanin biosynthesis. Therefore, it is considered a very important enzyme for some physiological processes, in addition, it is involved from the browning process of some fruits to Parkinson's neurodegeneration. Thus, kojic acid is an important metabolite that has the property of inhibiting the tyrosinase enzyme in relation to the production of melanin. Thus, kojic acid is widely used in medicine, thus characterizing itself as important for certain types of treatments. Therefore, in this project we use molecular modeling approaches to analyze kojic acid derivatives, a molecular target against the tyrosinase enzyme, initially the optimization and parameterization were performed using the semi-empirical PM3 method. Subsequently, the methods were optimized by the TFD method, then using the MVD computer program, the energy calculations for the molecules were performed. Taking as a guide for the definition of structural parameters the Tropolone structure for computational analyzes targeting kojic acid and its derivatives. Thus, the results obtained in the simulations reached satisfaction. Based on the energy values obtained through the analysis, derivatives 2,3,8 and 9 are suggested as potential candidate molecules for tyrosine inhibitors.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/25515
10.33448/rsd-v11i2.25515
url https://rsdjournal.org/index.php/rsd/article/view/25515
identifier_str_mv 10.33448/rsd-v11i2.25515
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/25515/22918
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 2; e19811225515
Research, Society and Development; Vol. 11 Núm. 2; e19811225515
Research, Society and Development; v. 11 n. 2; e19811225515
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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