Employing conformational analysis in the molecular modeling of agrochemicals: insights on QSAR parameters of 2,4-D
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | |
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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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) |
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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1815438964274757632 |