Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer

Detalhes bibliográficos
Autor(a) principal: Assis, Tamiris Maria de
Data de Publicação: 2018
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/29097
Resumo: Cancer is a disease that affects millions of people around the world, it is characterized by abnormal cell growth, which manifests itself aggressively and uncontrollably. There are several types of treatment for cancer, however they are most effective in the early stages, so it is essential to discover new treatments for cancer in advanced stages. In this perspective, the members of the TGF-β subfamily are considered interesting molecular targets, since they play important function in growth and development cell. Therefore, the objective of this work was to quantitatively determine the influence of structural descriptors on the activity of aryl pyrimidine derivatives as inhibitors of the TGF-β1 protein, from the application of QSAR-4D studies and to analyze the mode of interaction between these inhibitors and TGF-β1 protein through the molecular docking. This study was carried out in order to understand the affinity of the inhibitors with the protein and to identify which factors are relevant for the inhibition of the signaling pathway. The 4D-QSAR models presented good statistical parameters (R2 = 0.792, Q2 = 0.584, R2pred = 0.648, r2m = 0.547, R2P = 0.681 and R2rand = 0.207) besides pharmacophores groups important for the activity of these compounds. From the docking, the interactions between protein and ligand were analyzed, in which it was verified that amino acid residues like His283, Asp351 and Lys232 perform hydrogen bonding with most of the compounds. In contrast, Leu340, Ile211 and Val219 residues perform important steric interactions with groups that were considered favorable in QSAR. From these results, ten new structures were proposed, which had their activity predicted from the model obtained by QSAR-4D. All presented good interaction energies calculated by molecular docking and four presented predicted activities superior to those of the compounds studied. Therefore, the results suggest that these four compounds can be considered as potent prototypes of inhibitors of the TGF-β1 protein for the treatment of cancer.
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spelling Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer4D-QSAR models and molecular docking applied to the study of TGF- β1 protein inhibitors thought cancer treatmentCâncerProteína TGF-β1QSAR-4DAncoramento MolecularCancerTGF-β1 protein4D-QSARMolecular DockingFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)Cancer is a disease that affects millions of people around the world, it is characterized by abnormal cell growth, which manifests itself aggressively and uncontrollably. There are several types of treatment for cancer, however they are most effective in the early stages, so it is essential to discover new treatments for cancer in advanced stages. In this perspective, the members of the TGF-β subfamily are considered interesting molecular targets, since they play important function in growth and development cell. Therefore, the objective of this work was to quantitatively determine the influence of structural descriptors on the activity of aryl pyrimidine derivatives as inhibitors of the TGF-β1 protein, from the application of QSAR-4D studies and to analyze the mode of interaction between these inhibitors and TGF-β1 protein through the molecular docking. This study was carried out in order to understand the affinity of the inhibitors with the protein and to identify which factors are relevant for the inhibition of the signaling pathway. The 4D-QSAR models presented good statistical parameters (R2 = 0.792, Q2 = 0.584, R2pred = 0.648, r2m = 0.547, R2P = 0.681 and R2rand = 0.207) besides pharmacophores groups important for the activity of these compounds. From the docking, the interactions between protein and ligand were analyzed, in which it was verified that amino acid residues like His283, Asp351 and Lys232 perform hydrogen bonding with most of the compounds. In contrast, Leu340, Ile211 and Val219 residues perform important steric interactions with groups that were considered favorable in QSAR. From these results, ten new structures were proposed, which had their activity predicted from the model obtained by QSAR-4D. All presented good interaction energies calculated by molecular docking and four presented predicted activities superior to those of the compounds studied. Therefore, the results suggest that these four compounds can be considered as potent prototypes of inhibitors of the TGF-β1 protein for the treatment of cancer.Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)O câncer é uma doença que afeta milhões de pessoas em todo o mundo, e é caracterizado pelo crescimento anormal de células, que se manifestam de forma agressiva e incontrolável. Existem vários tipos de tratamento para o câncer, no entanto eles são mais eficazes nas fases iniciais, desse modo é essencial a descoberta de novos tratamentos para o câncer em estágios avançados. Nesta perspectiva, os membros da subfamília TGF-β são considerados alvos moleculares interessantes, uma vez que desempenham funções importantes no crescimento e desenvolvimento celular. Sendo assim, o objetivo deste trabalho foi determinar quantitativamente a influência de descritores estruturais na atividade de derivados aril pirimidina como inibidores da proteína TGF-β1, a partir da aplicação de estudos de QSAR-4D e analisar o modo de interação entre esses inibidores e a proteína TGF-β1 a partir do estudo de ancoramento molecular. Este estudo foi realizado a fim de entender a afinidade dos inibidores com a proteína e identificar quais fatores são relevantes para a inibição da via de sinalização. Os modelos de QSAR-4D apresentaram bons parâmetos estatísticos (R2= 0,792, Q2= 0,584, R2pred= 0,648, r2m=0,547, R2P= 0,681 e R2rand= 0,207) além de grupos farmacofóricos importantes para a atividade desses compostos. A partir do ancoramento foram analisadas as interações existentes entre proteína e ligantes, no qual foi averiguado que, resíduos de aminoácidos como His283, Asp351 e Lys232 fazem ligação de hidrogênio com a maioria dos compostos. Em contrapartida, os resíduos Leu340, Ile211 e Val219 realizam interações estéricas importantes com grupos que foram considerados favoráveis no QSAR. A partir desses resultados foram propostas dez novas estruturas, que tiveram sua atividade predita a partir do modelo obtido pelo QSAR-4D. Todas apresentaram boas energias de interação calculadas pelo ancoramento molecular e quatro apresentaram atividades preditas superiores àquelas dos compostos estudados. Portanto, os resultados obtidos sugerem que esses quatro compostos podem ser considerados potentes protótipos de inibidores da proteína TGF-β1 para o tratamento do câncer.Universidade Federal de LavrasAgroquímicaUFLAbrasilDepartamento de QuímicaCunha, Elaine Fontes Ferreira daGuimarães, Ana PaulaMancini, Daiana TeixeiraRamalho, Teodorico de CastroPacheco, Alison GeraldoAssis, Tamiris Maria de2018-04-26T13:59:41Z2018-04-26T13:59:41Z2018-04-252018-02-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfASSIS, T. M. de. Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer. 2018. 98 p. Tese (Doutorado em Agroquímica)–Universidade Federal de Lavras, Lavras, 2018.http://repositorio.ufla.br/jspui/handle/1/29097porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLA2018-04-26T13:59:41Zoai:localhost:1/29097Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2018-04-26T13:59:41Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
4D-QSAR models and molecular docking applied to the study of TGF- β1 protein inhibitors thought cancer treatment
title Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
spellingShingle Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
Assis, Tamiris Maria de
Câncer
Proteína TGF-β1
QSAR-4D
Ancoramento Molecular
Cancer
TGF-β1 protein
4D-QSAR
Molecular Docking
Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
title_short Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
title_full Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
title_fullStr Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
title_full_unstemmed Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
title_sort Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer
author Assis, Tamiris Maria de
author_facet Assis, Tamiris Maria de
author_role author
dc.contributor.none.fl_str_mv Cunha, Elaine Fontes Ferreira da
Guimarães, Ana Paula
Mancini, Daiana Teixeira
Ramalho, Teodorico de Castro
Pacheco, Alison Geraldo
dc.contributor.author.fl_str_mv Assis, Tamiris Maria de
dc.subject.por.fl_str_mv Câncer
Proteína TGF-β1
QSAR-4D
Ancoramento Molecular
Cancer
TGF-β1 protein
4D-QSAR
Molecular Docking
Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
topic Câncer
Proteína TGF-β1
QSAR-4D
Ancoramento Molecular
Cancer
TGF-β1 protein
4D-QSAR
Molecular Docking
Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
description Cancer is a disease that affects millions of people around the world, it is characterized by abnormal cell growth, which manifests itself aggressively and uncontrollably. There are several types of treatment for cancer, however they are most effective in the early stages, so it is essential to discover new treatments for cancer in advanced stages. In this perspective, the members of the TGF-β subfamily are considered interesting molecular targets, since they play important function in growth and development cell. Therefore, the objective of this work was to quantitatively determine the influence of structural descriptors on the activity of aryl pyrimidine derivatives as inhibitors of the TGF-β1 protein, from the application of QSAR-4D studies and to analyze the mode of interaction between these inhibitors and TGF-β1 protein through the molecular docking. This study was carried out in order to understand the affinity of the inhibitors with the protein and to identify which factors are relevant for the inhibition of the signaling pathway. The 4D-QSAR models presented good statistical parameters (R2 = 0.792, Q2 = 0.584, R2pred = 0.648, r2m = 0.547, R2P = 0.681 and R2rand = 0.207) besides pharmacophores groups important for the activity of these compounds. From the docking, the interactions between protein and ligand were analyzed, in which it was verified that amino acid residues like His283, Asp351 and Lys232 perform hydrogen bonding with most of the compounds. In contrast, Leu340, Ile211 and Val219 residues perform important steric interactions with groups that were considered favorable in QSAR. From these results, ten new structures were proposed, which had their activity predicted from the model obtained by QSAR-4D. All presented good interaction energies calculated by molecular docking and four presented predicted activities superior to those of the compounds studied. Therefore, the results suggest that these four compounds can be considered as potent prototypes of inhibitors of the TGF-β1 protein for the treatment of cancer.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-26T13:59:41Z
2018-04-26T13:59:41Z
2018-04-25
2018-02-23
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv ASSIS, T. M. de. Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer. 2018. 98 p. Tese (Doutorado em Agroquímica)–Universidade Federal de Lavras, Lavras, 2018.
http://repositorio.ufla.br/jspui/handle/1/29097
identifier_str_mv ASSIS, T. M. de. Modelos de QSAR-4D e ancoramento molecular aplicados ao estudo de inibidores da proteína TGF-β1 para o tratamento do câncer. 2018. 98 p. Tese (Doutorado em Agroquímica)–Universidade Federal de Lavras, Lavras, 2018.
url http://repositorio.ufla.br/jspui/handle/1/29097
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
Agroquímica
UFLA
brasil
Departamento de Química
publisher.none.fl_str_mv Universidade Federal de Lavras
Agroquímica
UFLA
brasil
Departamento de Química
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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