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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/123255
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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/ |
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application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Chemical Society |
publisher.none.fl_str_mv |
American Chemical Society |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.22299 |