Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study

Autores
Alves, Norma Roxana Carina; Pecci, Adali; Alvarez, Lautaro Damian
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The glucocorticoid receptor (GR) is a ligand-binding dependent transcription factor that ultimately regulates vital biological processes and inflammation response through specific gene expression control, thus representing a notable drug target to explore. Structurally, its ligand binding domain (LBD) harbors the region for the ligand-dependent transcriptional activation function 2 (AF-2), a majorly hydrophobic groove formed by residues from helices H3, H4, and H12, where the H12 position plays a critical role in AF-2 spatial conformation and GR function as a whole. However, the exact mechanisms underlying how regulatory ligands control the H12 structure and dynamics are yet to be elucidated. In this work, we have explored the correlation between ligand identity and GR LBD H12 behavior through different molecular dynamics (MD) simulations. After building diverse GR LBD systems in agonist and nonagonist states, we studied each system?s response in the absence or the presence of an agonist ligand (dexamethasone) or an antagonist ligand (RU486) using classical MD simulations. We complemented them with steered MD for assessing the transition between those states and with the Umbrella Sampling method for free-energy evaluation. On the one hand, successfully obtaining fully folded nonagonist GR LBD states from the partially unfolded crystal GR LBD/RU486 underlines the role of the H1 in the GR LBD folding pathway. On the other hand, our results describe the H12 as a dynamic ensemble of conformations whose relative population is in the end determined by the interacting ligand: while dexamethasone privileges only a few poses (determined by a potential energy surface with a deep minimum), RU486 favors a wider H12 conformational amplitude, as indicated by a flatter potential landscape. By characterizing the H12 conformation in different conditions, we provide novel GR LBD models that represent potential targets for rational glucocorticoid drugs design, with the aim of accurately modulating GR activity.
Fil: Alves, Norma Roxana Carina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pecci, Adali. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina
Fil: Alvarez, Lautaro Damian. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad de Microanálisis y Métodos Físicos en Química Orgánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Unidad de Microanálisis y Métodos Físicos en Química Orgánica; Argentina
Materia
Glucocorticoid
Molecular mechanism
Enhaced sampled methods
ligand
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/123255

id CONICETDig_096e92710cfa2af55c53e5527586ae4f
oai_identifier_str oai:ri.conicet.gov.ar:11336/123255
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics StudyAlves, Norma Roxana CarinaPecci, AdaliAlvarez, Lautaro DamianGlucocorticoidMolecular mechanismEnhaced sampled methodsligandhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The glucocorticoid receptor (GR) is a ligand-binding dependent transcription factor that ultimately regulates vital biological processes and inflammation response through specific gene expression control, thus representing a notable drug target to explore. Structurally, its ligand binding domain (LBD) harbors the region for the ligand-dependent transcriptional activation function 2 (AF-2), a majorly hydrophobic groove formed by residues from helices H3, H4, and H12, where the H12 position plays a critical role in AF-2 spatial conformation and GR function as a whole. However, the exact mechanisms underlying how regulatory ligands control the H12 structure and dynamics are yet to be elucidated. In this work, we have explored the correlation between ligand identity and GR LBD H12 behavior through different molecular dynamics (MD) simulations. After building diverse GR LBD systems in agonist and nonagonist states, we studied each system?s response in the absence or the presence of an agonist ligand (dexamethasone) or an antagonist ligand (RU486) using classical MD simulations. We complemented them with steered MD for assessing the transition between those states and with the Umbrella Sampling method for free-energy evaluation. On the one hand, successfully obtaining fully folded nonagonist GR LBD states from the partially unfolded crystal GR LBD/RU486 underlines the role of the H1 in the GR LBD folding pathway. On the other hand, our results describe the H12 as a dynamic ensemble of conformations whose relative population is in the end determined by the interacting ligand: while dexamethasone privileges only a few poses (determined by a potential energy surface with a deep minimum), RU486 favors a wider H12 conformational amplitude, as indicated by a flatter potential landscape. By characterizing the H12 conformation in different conditions, we provide novel GR LBD models that represent potential targets for rational glucocorticoid drugs design, with the aim of accurately modulating GR activity.Fil: Alves, Norma Roxana Carina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pecci, Adali. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; ArgentinaFil: Alvarez, Lautaro Damian. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad de Microanálisis y Métodos Físicos en Química Orgánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Unidad de Microanálisis y Métodos Físicos en Química Orgánica; ArgentinaAmerican Chemical Society2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/123255Alves, Norma Roxana Carina; Pecci, Adali; Alvarez, Lautaro Damian; Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study; American Chemical Society; Journal of Chemical Information and Modeling; 60; 2; 11-2019; 794-8041549-9596CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.jcim.9b00776info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.jcim.9b00776info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:54:56Zoai:ri.conicet.gov.ar:11336/123255instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:54:57.044CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
title Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
spellingShingle Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
Alves, Norma Roxana Carina
Glucocorticoid
Molecular mechanism
Enhaced sampled methods
ligand
title_short Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
title_full Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
title_fullStr Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
title_full_unstemmed Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
title_sort Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study
dc.creator.none.fl_str_mv Alves, Norma Roxana Carina
Pecci, Adali
Alvarez, Lautaro Damian
author Alves, Norma Roxana Carina
author_facet Alves, Norma Roxana Carina
Pecci, Adali
Alvarez, Lautaro Damian
author_role author
author2 Pecci, Adali
Alvarez, Lautaro Damian
author2_role author
author
dc.subject.none.fl_str_mv Glucocorticoid
Molecular mechanism
Enhaced sampled methods
ligand
topic Glucocorticoid
Molecular mechanism
Enhaced sampled methods
ligand
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The glucocorticoid receptor (GR) is a ligand-binding dependent transcription factor that ultimately regulates vital biological processes and inflammation response through specific gene expression control, thus representing a notable drug target to explore. Structurally, its ligand binding domain (LBD) harbors the region for the ligand-dependent transcriptional activation function 2 (AF-2), a majorly hydrophobic groove formed by residues from helices H3, H4, and H12, where the H12 position plays a critical role in AF-2 spatial conformation and GR function as a whole. However, the exact mechanisms underlying how regulatory ligands control the H12 structure and dynamics are yet to be elucidated. In this work, we have explored the correlation between ligand identity and GR LBD H12 behavior through different molecular dynamics (MD) simulations. After building diverse GR LBD systems in agonist and nonagonist states, we studied each system?s response in the absence or the presence of an agonist ligand (dexamethasone) or an antagonist ligand (RU486) using classical MD simulations. We complemented them with steered MD for assessing the transition between those states and with the Umbrella Sampling method for free-energy evaluation. On the one hand, successfully obtaining fully folded nonagonist GR LBD states from the partially unfolded crystal GR LBD/RU486 underlines the role of the H1 in the GR LBD folding pathway. On the other hand, our results describe the H12 as a dynamic ensemble of conformations whose relative population is in the end determined by the interacting ligand: while dexamethasone privileges only a few poses (determined by a potential energy surface with a deep minimum), RU486 favors a wider H12 conformational amplitude, as indicated by a flatter potential landscape. By characterizing the H12 conformation in different conditions, we provide novel GR LBD models that represent potential targets for rational glucocorticoid drugs design, with the aim of accurately modulating GR activity.
Fil: Alves, Norma Roxana Carina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pecci, Adali. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina
Fil: Alvarez, Lautaro Damian. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad de Microanálisis y Métodos Físicos en Química Orgánica. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Unidad de Microanálisis y Métodos Físicos en Química Orgánica; Argentina
description The glucocorticoid receptor (GR) is a ligand-binding dependent transcription factor that ultimately regulates vital biological processes and inflammation response through specific gene expression control, thus representing a notable drug target to explore. Structurally, its ligand binding domain (LBD) harbors the region for the ligand-dependent transcriptional activation function 2 (AF-2), a majorly hydrophobic groove formed by residues from helices H3, H4, and H12, where the H12 position plays a critical role in AF-2 spatial conformation and GR function as a whole. However, the exact mechanisms underlying how regulatory ligands control the H12 structure and dynamics are yet to be elucidated. In this work, we have explored the correlation between ligand identity and GR LBD H12 behavior through different molecular dynamics (MD) simulations. After building diverse GR LBD systems in agonist and nonagonist states, we studied each system?s response in the absence or the presence of an agonist ligand (dexamethasone) or an antagonist ligand (RU486) using classical MD simulations. We complemented them with steered MD for assessing the transition between those states and with the Umbrella Sampling method for free-energy evaluation. On the one hand, successfully obtaining fully folded nonagonist GR LBD states from the partially unfolded crystal GR LBD/RU486 underlines the role of the H1 in the GR LBD folding pathway. On the other hand, our results describe the H12 as a dynamic ensemble of conformations whose relative population is in the end determined by the interacting ligand: while dexamethasone privileges only a few poses (determined by a potential energy surface with a deep minimum), RU486 favors a wider H12 conformational amplitude, as indicated by a flatter potential landscape. By characterizing the H12 conformation in different conditions, we provide novel GR LBD models that represent potential targets for rational glucocorticoid drugs design, with the aim of accurately modulating GR activity.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/123255
Alves, Norma Roxana Carina; Pecci, Adali; Alvarez, Lautaro Damian; Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study; American Chemical Society; Journal of Chemical Information and Modeling; 60; 2; 11-2019; 794-804
1549-9596
CONICET Digital
CONICET
url http://hdl.handle.net/11336/123255
identifier_str_mv Alves, Norma Roxana Carina; Pecci, Adali; Alvarez, Lautaro Damian; Structural Insights into the Ligand Binding Domain of the Glucocorticoid Receptor: A Molecular Dynamics Study; American Chemical Society; Journal of Chemical Information and Modeling; 60; 2; 11-2019; 794-804
1549-9596
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.jcim.9b00776
info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.jcim.9b00776
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083082886578176
score 13.22299