Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models

Detalhes bibliográficos
Autor(a) principal: Oliveira, Ana Gabriela Coelho
Data de Publicação: 2024
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional da UFG
dARK ID: ark:/38995/0013000003v9x
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/13368
Resumo: In the present study, the stereoselectivity of Claisen Rearrangements was addressed, focusing on the influence of two distinct electron-withdrawing groups and eight different substituents in three variants of the rearrangement: Hurd, Eschenmoser, and Johnson. Using the Curtin-Hammett principle, the energies of reactions, products, and transition states were calculated using the M062X/def2TZVPP theory level. The results indicate that kinetic effects predominantly govern the reaction equilibrium. A key aspect of our investigation involved applying Shubin’s energy decomposition analysis to the optimized transition states. This approach highlighted the significant influence of the electrostatic component on stereoselectivity, revealing its predominance over the quantum and steric components. Moreover, each transition state was divided into four fragments: the electron-withdrawing groups (Ester and Nitrile), the specific Hurd/Esch/John group (H, NMe2, and OEt), various substituents (alkyl and aryl), and the central fragment. This fragmentation allowed for a comprehensive analysis of the dipole moments of the groups and non-covalent interactions, providing insights into the electrostatic forces driving the rearrangement process. In addition, Supervised Machine Learning algorithms were employed, focusing on the analysis of electronic and geometric datasets related to the transition states. The results obtained not only elucidate the mechanisms underlying the stereoselectivity of Claisen Rearrangements but also provide a subtle understanding of the interaction between different molecular components, establishing new perspectives in advanced applications in organic synthesis.
id UFG-2_ef8d40bc2a22b31838bff4615ce967b2
oai_identifier_str oai:repositorio.bc.ufg.br:tede/13368
network_acronym_str UFG-2
network_name_str Repositório Institucional da UFG
repository_id_str
spelling Oliveira, Heibbe Cristhian Benedito dehttp://lattes.cnpq.br/ 5995553993631378Oliveira, Heibbe Cristhian Benedito deAlonso, Christian GonçalvesMuniz, Aline SilvaSilveira Neto, Brenno Amaro daOliveira, Guilherme Colherinhas dehttp://lattes.cnpq.br/1762107968815537Oliveira, Ana Gabriela Coelho2024-09-18T12:05:45Z2024-09-18T12:05:45Z2024-01-29OLIVEIRA, A. G. C. Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models. 2024. 209 f. Tese (Doutorado em Química) - Faculdade de Química, Universidade Federal de Goiás, Goiânia, 2024.http://repositorio.bc.ufg.br/tede/handle/tede/13368ark:/38995/0013000003v9xIn the present study, the stereoselectivity of Claisen Rearrangements was addressed, focusing on the influence of two distinct electron-withdrawing groups and eight different substituents in three variants of the rearrangement: Hurd, Eschenmoser, and Johnson. Using the Curtin-Hammett principle, the energies of reactions, products, and transition states were calculated using the M062X/def2TZVPP theory level. The results indicate that kinetic effects predominantly govern the reaction equilibrium. A key aspect of our investigation involved applying Shubin’s energy decomposition analysis to the optimized transition states. This approach highlighted the significant influence of the electrostatic component on stereoselectivity, revealing its predominance over the quantum and steric components. Moreover, each transition state was divided into four fragments: the electron-withdrawing groups (Ester and Nitrile), the specific Hurd/Esch/John group (H, NMe2, and OEt), various substituents (alkyl and aryl), and the central fragment. This fragmentation allowed for a comprehensive analysis of the dipole moments of the groups and non-covalent interactions, providing insights into the electrostatic forces driving the rearrangement process. In addition, Supervised Machine Learning algorithms were employed, focusing on the analysis of electronic and geometric datasets related to the transition states. The results obtained not only elucidate the mechanisms underlying the stereoselectivity of Claisen Rearrangements but also provide a subtle understanding of the interaction between different molecular components, establishing new perspectives in advanced applications in organic synthesis.No presente estudo foi abordado a estereosseletividade dos Rearranjos de Claisen, focando na influência de dois grupos distintos de retirada de elétrons e oito substituintes diferentes em três variantes do rearranjo: Hurd, Eschenmoser e Johnson. Utilizando o princípio de Curtin-Hammett, foi calculado as energias das reações, produtos e estados de transição usando o nível de teoria M062X/def2TZVPP. Os resultados indicam que efeitos cinéticos predominantemente governam o equilíbrio da reação. Um aspectochave de nossa investigação envolveu a aplicação da análise de decomposição de energia de Shubin aos estados de transição otimizados. Essa abordagem destacou a influência significativa do componente eletrostático na estereosseletividade, revelando sua predominância sobre os componentes quânticos e estéricos. Além disso, cada estado de transição foi dividido em quatro fragmentos: os grupos de retirada de elétrons (Éster e Nitrila), o grupo específico de Hurd/Esch/John (H, NMe2, e OEt), vários substituintes (alquil e aril) e o fragmento central. Essa fragmentação possibilitou uma análise abrangente dos momentos dipolares dos grupos e das interações não covalentes, fornecendo insights sobre as forças eletrostáticas que impulsionam o processo de rearranjo. Além disso, foram empregados algorítmos de Aprendizado de Máquina Supervisionado com foco na análise de conjuntos de dados eletrônicos e geométricos relacionados aos estados de transição. Os resultados obtidos além de elucidarem os mecanismos que fundamentam a estereosseletividade das Rearranjos de Claisen, fornecem uma compreensão sutil da interação entre diferentes componentes moleculares, estabelecendo novas perspectivas no que se refere as aplicações avançadas na síntese orgânica.Submitted by Onia Arantes Albuquerque (onia.ufg@gmail.com) on 2024-09-17T13:32:16Z workflow start=Step: editstep - action:claimaction No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Tese - Ana Gabriela Coelho Oliveira - 2024.pdf: 54876881 bytes, checksum: 25256f74cd35768f279213a790a8b638 (MD5)Step: editstep - action:editaction Approved for entry into archive by Onia Arantes Albuquerque(onia.ufg@gmail.com) on 2024-09-18T12:05:44Z (GMT)Made available in DSpace on 2024-09-18T12:05:45Z (GMT). No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Tese - Ana Gabriela Coelho Oliveira - 2024.pdf: 54876881 bytes, checksum: 25256f74cd35768f279213a790a8b638 (MD5) Previous issue date: 2024-01-29Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESengUniversidade Federal de GoiásPrograma de Pós-graduação em Química (IQ)UFGBrasilInstituto de Química - IQ (RMG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRearranjos de ClaisenEstereosseletividadeEstado de transiçãoTeoria do funcional de densidadeDecomposição de energiaAprendizado de máquina supervisionadoClaisen rearrangementsStereoselectivityTransition stateDensity functional theoryEnergy decompositionSupervised machine learningCIENCIAS EXATAS E DA TERRA::QUIMICADeciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning modelsDecifrando a estereosseletividade dos rearranjos de Claisen: modelos conjuntos de teoria funcional da densidade e aprendizado de máquinainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisreponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/9db9e813-ffd2-4d07-84a2-c42b0a971c9f/download8a4605be74aa9ea9d79846c1fba20a33MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/720b88d0-4d9b-42f1-a52d-3391b9cad413/download4460e5956bc1d1639be9ae6146a50347MD53ORIGINALTese - Ana Gabriela Coelho Oliveira - 2024.pdfTese - Ana Gabriela Coelho Oliveira - 2024.pdfapplication/pdf54876881http://repositorio.bc.ufg.br/tede/bitstreams/c92fb3ef-81a7-4156-adc2-d2e0afa98a84/download25256f74cd35768f279213a790a8b638MD54tede/133682024-09-18 09:05:45.446http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/13368http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2024-09-18T12:05:45Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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
dc.title.none.fl_str_mv Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
dc.title.alternative.por.fl_str_mv Decifrando a estereosseletividade dos rearranjos de Claisen: modelos conjuntos de teoria funcional da densidade e aprendizado de máquina
title Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
spellingShingle Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
Oliveira, Ana Gabriela Coelho
Rearranjos de Claisen
Estereosseletividade
Estado de transição
Teoria do funcional de densidade
Decomposição de energia
Aprendizado de máquina supervisionado
Claisen rearrangements
Stereoselectivity
Transition state
Density functional theory
Energy decomposition
Supervised machine learning
CIENCIAS EXATAS E DA TERRA::QUIMICA
title_short Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
title_full Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
title_fullStr Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
title_full_unstemmed Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
title_sort Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models
author Oliveira, Ana Gabriela Coelho
author_facet Oliveira, Ana Gabriela Coelho
author_role author
dc.contributor.advisor1.fl_str_mv Oliveira, Heibbe Cristhian Benedito de
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/ 5995553993631378
dc.contributor.referee1.fl_str_mv Oliveira, Heibbe Cristhian Benedito de
dc.contributor.referee2.fl_str_mv Alonso, Christian Gonçalves
dc.contributor.referee3.fl_str_mv Muniz, Aline Silva
dc.contributor.referee4.fl_str_mv Silveira Neto, Brenno Amaro da
dc.contributor.referee5.fl_str_mv Oliveira, Guilherme Colherinhas de
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1762107968815537
dc.contributor.author.fl_str_mv Oliveira, Ana Gabriela Coelho
contributor_str_mv Oliveira, Heibbe Cristhian Benedito de
Oliveira, Heibbe Cristhian Benedito de
Alonso, Christian Gonçalves
Muniz, Aline Silva
Silveira Neto, Brenno Amaro da
Oliveira, Guilherme Colherinhas de
dc.subject.por.fl_str_mv Rearranjos de Claisen
Estereosseletividade
Estado de transição
Teoria do funcional de densidade
Decomposição de energia
Aprendizado de máquina supervisionado
topic Rearranjos de Claisen
Estereosseletividade
Estado de transição
Teoria do funcional de densidade
Decomposição de energia
Aprendizado de máquina supervisionado
Claisen rearrangements
Stereoselectivity
Transition state
Density functional theory
Energy decomposition
Supervised machine learning
CIENCIAS EXATAS E DA TERRA::QUIMICA
dc.subject.eng.fl_str_mv Claisen rearrangements
Stereoselectivity
Transition state
Density functional theory
Energy decomposition
Supervised machine learning
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::QUIMICA
description In the present study, the stereoselectivity of Claisen Rearrangements was addressed, focusing on the influence of two distinct electron-withdrawing groups and eight different substituents in three variants of the rearrangement: Hurd, Eschenmoser, and Johnson. Using the Curtin-Hammett principle, the energies of reactions, products, and transition states were calculated using the M062X/def2TZVPP theory level. The results indicate that kinetic effects predominantly govern the reaction equilibrium. A key aspect of our investigation involved applying Shubin’s energy decomposition analysis to the optimized transition states. This approach highlighted the significant influence of the electrostatic component on stereoselectivity, revealing its predominance over the quantum and steric components. Moreover, each transition state was divided into four fragments: the electron-withdrawing groups (Ester and Nitrile), the specific Hurd/Esch/John group (H, NMe2, and OEt), various substituents (alkyl and aryl), and the central fragment. This fragmentation allowed for a comprehensive analysis of the dipole moments of the groups and non-covalent interactions, providing insights into the electrostatic forces driving the rearrangement process. In addition, Supervised Machine Learning algorithms were employed, focusing on the analysis of electronic and geometric datasets related to the transition states. The results obtained not only elucidate the mechanisms underlying the stereoselectivity of Claisen Rearrangements but also provide a subtle understanding of the interaction between different molecular components, establishing new perspectives in advanced applications in organic synthesis.
publishDate 2024
dc.date.accessioned.fl_str_mv 2024-09-18T12:05:45Z
dc.date.available.fl_str_mv 2024-09-18T12:05:45Z
dc.date.issued.fl_str_mv 2024-01-29
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.citation.fl_str_mv OLIVEIRA, A. G. C. Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models. 2024. 209 f. Tese (Doutorado em Química) - Faculdade de Química, Universidade Federal de Goiás, Goiânia, 2024.
dc.identifier.uri.fl_str_mv http://repositorio.bc.ufg.br/tede/handle/tede/13368
dc.identifier.dark.fl_str_mv ark:/38995/0013000003v9x
identifier_str_mv OLIVEIRA, A. G. C. Deciphering the stereoselectivity of Claisen rearrangements: joint density functional theory and machine learning models. 2024. 209 f. Tese (Doutorado em Química) - Faculdade de Química, Universidade Federal de Goiás, Goiânia, 2024.
ark:/38995/0013000003v9x
url http://repositorio.bc.ufg.br/tede/handle/tede/13368
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Goiás
dc.publisher.program.fl_str_mv Programa de Pós-graduação em Química (IQ)
dc.publisher.initials.fl_str_mv UFG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Instituto de Química - IQ (RMG)
publisher.none.fl_str_mv Universidade Federal de Goiás
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFG
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Repositório Institucional da UFG
collection Repositório Institucional da UFG
bitstream.url.fl_str_mv http://repositorio.bc.ufg.br/tede/bitstreams/9db9e813-ffd2-4d07-84a2-c42b0a971c9f/download
http://repositorio.bc.ufg.br/tede/bitstreams/720b88d0-4d9b-42f1-a52d-3391b9cad413/download
http://repositorio.bc.ufg.br/tede/bitstreams/c92fb3ef-81a7-4156-adc2-d2e0afa98a84/download
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
4460e5956bc1d1639be9ae6146a50347
25256f74cd35768f279213a790a8b638
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv tasesdissertacoes.bc@ufg.br
_version_ 1815172550167101440