Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D

Detalhes bibliográficos
Autor(a) principal: Freitas, Matheus Puggina de
Data de Publicação: 2013
Outros Autores: Ramalho, Teodorico de Castro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/41172
Resumo: A common practice to compute ligand conformations of compounds with various degrees of freedom to be used in molecular modeling (QSAR and docking studies) is to perform a conformational distribution based on repeated random sampling, such as Monte-Carlo methods. Further calculations are often required. This short review describes some methods used for conformational analysis and the implications of using selected conformations in QSAR. A case study is developed for 2,4-dichlorophenoxyacetic acid (2,4-D), a widely used herbicide which binds to TIR1 ubiquitin ligase enzyme. The use of such an approach and semi-empirical calculations did not achieve all possible minima for 2,4-D. In addition, the conformations and respective energies obtained by the semi-empirical AM1 method do not match the calculated trends obtained by a high level DFT method. Similar findings were obtained for the carboxylate anion, which is the bioactive form. Finally, the crystal bioactive structure of 2,4-D was not found as a minimum when using Monte-Carlo/AM1 and is similarly populated with another conformer in implicit water solution according to optimization at the B3LYP/aug-cc-pVDZ level. Therefore, quantitative structure-activity relationship (QSAR) methods based on three dimensional chemical structures are not fundamental to provide predictive models for 2,4-D congeners as TIR1 ubiquitin ligase ligands, since they do not necessarily reflect the bioactive conformation of this molecule. This probably extends to other systems.
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spelling Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-DEmpregando análise conformacional na modelagem molecular de agroquímicos: observações sobre parâmetros QSAR do 2,4-DStructural analysis2,4-dichlorophenoxyacetic acidTheoretical calculationAnálise estruturalÁcido 2,4-diclorofenóxi acéticoCálculo teóricoA common practice to compute ligand conformations of compounds with various degrees of freedom to be used in molecular modeling (QSAR and docking studies) is to perform a conformational distribution based on repeated random sampling, such as Monte-Carlo methods. Further calculations are often required. This short review describes some methods used for conformational analysis and the implications of using selected conformations in QSAR. A case study is developed for 2,4-dichlorophenoxyacetic acid (2,4-D), a widely used herbicide which binds to TIR1 ubiquitin ligase enzyme. The use of such an approach and semi-empirical calculations did not achieve all possible minima for 2,4-D. In addition, the conformations and respective energies obtained by the semi-empirical AM1 method do not match the calculated trends obtained by a high level DFT method. Similar findings were obtained for the carboxylate anion, which is the bioactive form. Finally, the crystal bioactive structure of 2,4-D was not found as a minimum when using Monte-Carlo/AM1 and is similarly populated with another conformer in implicit water solution according to optimization at the B3LYP/aug-cc-pVDZ level. Therefore, quantitative structure-activity relationship (QSAR) methods based on three dimensional chemical structures are not fundamental to provide predictive models for 2,4-D congeners as TIR1 ubiquitin ligase ligands, since they do not necessarily reflect the bioactive conformation of this molecule. This probably extends to other systems.Uma prática comum para determinar a conformação de ligantes em compostos com vários graus de liberdade a serem utilizados em modelagem molecular (QSAR e estudos de ancoramento molecular) é realizar uma distribuição conformacional baseada em repetidas amostragens aleatórias, tais como o método Monte Carlo. Cálculos adicionais são frequentemente necessários. Esta rápida revisão descreve alguns métodos usados para análise conformacional e as implicações ao usarem algumas conformações selecionadas em QSAR. Um estudo de caso foi desenvolvido para o ácido 2,4-diclorofenóxi acético (2,4-D), um herbicida amplamente usado que se liga à enzima TIR1 ubiquitina ligase. O uso de tal aproximação e cálculos semi-empíricos não alcançou todos os mínimos possíveis para o 2,4-D. Além disso, as conformações e respectivas energias obtidas pelo método semi-empírico AM1 não concordam com as tendências calculadas em nível DFT. Resultados similares foram obtidos para o ânion carboxilato, que é a forma bioativa do 2,4-D. Finalmente, a estrutura cristalina e bioativa do 2,4-D não foi encontrada como um mínimo de energia usando MonteCarlo/AM1 e, de acordo com otimização em nível B3LYP/aug-cc-pVDZ, tem população similar ao outro confôrmero em solução aquosa implícita. Portanto, métodos para relação quantitativa entre estrutura e atividade (QSAR) baseados na estrutura química tridimensional não são fundamentais para fornecer modelos preditivos para congêneres do 2,4-D como ligantes da enzima TIR1 ubiquitina ligase, uma vez que essas estruturas não correspondem, necessariamente, à conformação bioativa dessa molécula. Esse resultado provavelmente se estende a outros sistemas.Editora UFLA (Editora da Universidade Federal de Lavras)2020-05-24T21:53:01Z2020-05-24T21:53:01Z2013-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFREITAS, M. P. de; RAMALHO, T. de C. Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D. Ciência e Agrotecnologia, Lavras, v. 37, n. 6, p. 485-494, nov./dez. 2013. DOI: 10.1590/S1413-70542013000600001.http://repositorio.ufla.br/jspui/handle/1/41172Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFreitas, Matheus Puggina deRamalho, Teodorico de Castroeng2020-05-24T21:53:02Zoai:localhost:1/41172Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-05-24T21:53:02Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
Empregando análise conformacional na modelagem molecular de agroquímicos: observações sobre parâmetros QSAR do 2,4-D
title Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
spellingShingle Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
Freitas, Matheus Puggina de
Structural analysis
2,4-dichlorophenoxyacetic acid
Theoretical calculation
Análise estrutural
Ácido 2,4-diclorofenóxi acético
Cálculo teórico
title_short Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
title_full Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
title_fullStr Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
title_full_unstemmed Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
title_sort Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
author Freitas, Matheus Puggina de
author_facet Freitas, Matheus Puggina de
Ramalho, Teodorico de Castro
author_role author
author2 Ramalho, Teodorico de Castro
author2_role author
dc.contributor.author.fl_str_mv Freitas, Matheus Puggina de
Ramalho, Teodorico de Castro
dc.subject.por.fl_str_mv Structural analysis
2,4-dichlorophenoxyacetic acid
Theoretical calculation
Análise estrutural
Ácido 2,4-diclorofenóxi acético
Cálculo teórico
topic Structural analysis
2,4-dichlorophenoxyacetic acid
Theoretical calculation
Análise estrutural
Ácido 2,4-diclorofenóxi acético
Cálculo teórico
description A common practice to compute ligand conformations of compounds with various degrees of freedom to be used in molecular modeling (QSAR and docking studies) is to perform a conformational distribution based on repeated random sampling, such as Monte-Carlo methods. Further calculations are often required. This short review describes some methods used for conformational analysis and the implications of using selected conformations in QSAR. A case study is developed for 2,4-dichlorophenoxyacetic acid (2,4-D), a widely used herbicide which binds to TIR1 ubiquitin ligase enzyme. The use of such an approach and semi-empirical calculations did not achieve all possible minima for 2,4-D. In addition, the conformations and respective energies obtained by the semi-empirical AM1 method do not match the calculated trends obtained by a high level DFT method. Similar findings were obtained for the carboxylate anion, which is the bioactive form. Finally, the crystal bioactive structure of 2,4-D was not found as a minimum when using Monte-Carlo/AM1 and is similarly populated with another conformer in implicit water solution according to optimization at the B3LYP/aug-cc-pVDZ level. Therefore, quantitative structure-activity relationship (QSAR) methods based on three dimensional chemical structures are not fundamental to provide predictive models for 2,4-D congeners as TIR1 ubiquitin ligase ligands, since they do not necessarily reflect the bioactive conformation of this molecule. This probably extends to other systems.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
2020-05-24T21:53:01Z
2020-05-24T21:53:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv FREITAS, M. P. de; RAMALHO, T. de C. Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D. Ciência e Agrotecnologia, Lavras, v. 37, n. 6, p. 485-494, nov./dez. 2013. DOI: 10.1590/S1413-70542013000600001.
http://repositorio.ufla.br/jspui/handle/1/41172
identifier_str_mv FREITAS, M. P. de; RAMALHO, T. de C. Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D. Ciência e Agrotecnologia, Lavras, v. 37, n. 6, p. 485-494, nov./dez. 2013. DOI: 10.1590/S1413-70542013000600001.
url http://repositorio.ufla.br/jspui/handle/1/41172
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://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 Editora UFLA (Editora da Universidade Federal de Lavras)
publisher.none.fl_str_mv Editora UFLA (Editora da Universidade Federal de Lavras)
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
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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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