Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations
- Autores
- Barrera Guisasola, Exequiel Ernesto; Pantano Gutierrez, Sergio Fabian
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The small soluble aggregates of Aβ1-42 are broadly documented as potential targets for the development of new compounds with the capacity to inhibit the early stages of Alzheimer´s disease. Nevertheless, Aβ1-42 peptides show an intrinsically disordered character with a high propensity for aggregation, which complicates the identification of conserved structural patterns. Because of this, experimental techniques find substantial difficulties in the characterization of such soluble oligomers. Theoretical techniques, such as molecular dynamics (MD) simulations, provide a possible workaround for this problem. However, the computational cost associated with comprehensively sampling the vast conformational space accessible to these peptides might become prohibitive. In this sense, coarse-grained (CG) simulations can effectively overcome that hurdle at a fraction of the computational cost.In this dataset, we furnish an extensive collection of Aβ1-42 peptides in dimeric conformation generated with the SIRAH force field for CG MD simulation. It comprises 25 independent trajectories in .xtc (gromacs) format of Aβ1-42 couples of peptides that evolve towards dimeric states along eleven µs-long unbiased simulations. Thanks to the backmapping capabilities of our force field, pseudo atomistic coordinates can be straightforwardly recovered from MD trajectories reported here and analyzed with popular molecular editing programs. This set of simulations performed at room conditions and physiological salt concentrations may furnish a complete collection of inter-peptide interfaces that can be used in high-throughput docking or as new starting states for peptide oligomerization seeding of Aβ1-42 dimerization.
Fil: Barrera Guisasola, Exequiel Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Histología y Embriología de Mendoza Dr. Mario H. Burgos. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Instituto de Histología y Embriología de Mendoza Dr. Mario H. Burgos; Argentina. Instituto Pasteur de Montevideo; Uruguay
Fil: Pantano Gutierrez, Sergio Fabian. Instituto Pasteur de Montevideo; Uruguay - Materia
-
SIRAH
COARSE-GRAINED SIMULATION
SOLUBLE OLIGOMER
ALZHEIMER - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/249754
Ver los metadatos del registro completo
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Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulationsBarrera Guisasola, Exequiel ErnestoPantano Gutierrez, Sergio FabianSIRAHCOARSE-GRAINED SIMULATIONSOLUBLE OLIGOMERALZHEIMERhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The small soluble aggregates of Aβ1-42 are broadly documented as potential targets for the development of new compounds with the capacity to inhibit the early stages of Alzheimer´s disease. Nevertheless, Aβ1-42 peptides show an intrinsically disordered character with a high propensity for aggregation, which complicates the identification of conserved structural patterns. Because of this, experimental techniques find substantial difficulties in the characterization of such soluble oligomers. Theoretical techniques, such as molecular dynamics (MD) simulations, provide a possible workaround for this problem. However, the computational cost associated with comprehensively sampling the vast conformational space accessible to these peptides might become prohibitive. In this sense, coarse-grained (CG) simulations can effectively overcome that hurdle at a fraction of the computational cost.In this dataset, we furnish an extensive collection of Aβ1-42 peptides in dimeric conformation generated with the SIRAH force field for CG MD simulation. It comprises 25 independent trajectories in .xtc (gromacs) format of Aβ1-42 couples of peptides that evolve towards dimeric states along eleven µs-long unbiased simulations. Thanks to the backmapping capabilities of our force field, pseudo atomistic coordinates can be straightforwardly recovered from MD trajectories reported here and analyzed with popular molecular editing programs. This set of simulations performed at room conditions and physiological salt concentrations may furnish a complete collection of inter-peptide interfaces that can be used in high-throughput docking or as new starting states for peptide oligomerization seeding of Aβ1-42 dimerization.Fil: Barrera Guisasola, Exequiel Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Histología y Embriología de Mendoza Dr. Mario H. Burgos. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Instituto de Histología y Embriología de Mendoza Dr. Mario H. Burgos; Argentina. Instituto Pasteur de Montevideo; UruguayFil: Pantano Gutierrez, Sergio Fabian. Instituto Pasteur de Montevideo; UruguayElsevier2023-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/249754Barrera Guisasola, Exequiel Ernesto; Pantano Gutierrez, Sergio Fabian; Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations; Elsevier; Data in Brief; 49; 8-2023; 1-52352-3409CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S235234092300478Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.dib.2023.109359info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:41Zoai:ri.conicet.gov.ar:11336/249754instacron: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:34982025-09-03 09:50:42.211CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
title |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
spellingShingle |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations Barrera Guisasola, Exequiel Ernesto SIRAH COARSE-GRAINED SIMULATION SOLUBLE OLIGOMER ALZHEIMER |
title_short |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
title_full |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
title_fullStr |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
title_full_unstemmed |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
title_sort |
Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations |
dc.creator.none.fl_str_mv |
Barrera Guisasola, Exequiel Ernesto Pantano Gutierrez, Sergio Fabian |
author |
Barrera Guisasola, Exequiel Ernesto |
author_facet |
Barrera Guisasola, Exequiel Ernesto Pantano Gutierrez, Sergio Fabian |
author_role |
author |
author2 |
Pantano Gutierrez, Sergio Fabian |
author2_role |
author |
dc.subject.none.fl_str_mv |
SIRAH COARSE-GRAINED SIMULATION SOLUBLE OLIGOMER ALZHEIMER |
topic |
SIRAH COARSE-GRAINED SIMULATION SOLUBLE OLIGOMER ALZHEIMER |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The small soluble aggregates of Aβ1-42 are broadly documented as potential targets for the development of new compounds with the capacity to inhibit the early stages of Alzheimer´s disease. Nevertheless, Aβ1-42 peptides show an intrinsically disordered character with a high propensity for aggregation, which complicates the identification of conserved structural patterns. Because of this, experimental techniques find substantial difficulties in the characterization of such soluble oligomers. Theoretical techniques, such as molecular dynamics (MD) simulations, provide a possible workaround for this problem. However, the computational cost associated with comprehensively sampling the vast conformational space accessible to these peptides might become prohibitive. In this sense, coarse-grained (CG) simulations can effectively overcome that hurdle at a fraction of the computational cost.In this dataset, we furnish an extensive collection of Aβ1-42 peptides in dimeric conformation generated with the SIRAH force field for CG MD simulation. It comprises 25 independent trajectories in .xtc (gromacs) format of Aβ1-42 couples of peptides that evolve towards dimeric states along eleven µs-long unbiased simulations. Thanks to the backmapping capabilities of our force field, pseudo atomistic coordinates can be straightforwardly recovered from MD trajectories reported here and analyzed with popular molecular editing programs. This set of simulations performed at room conditions and physiological salt concentrations may furnish a complete collection of inter-peptide interfaces that can be used in high-throughput docking or as new starting states for peptide oligomerization seeding of Aβ1-42 dimerization. Fil: Barrera Guisasola, Exequiel Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Histología y Embriología de Mendoza Dr. Mario H. Burgos. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas. Instituto de Histología y Embriología de Mendoza Dr. Mario H. Burgos; Argentina. Instituto Pasteur de Montevideo; Uruguay Fil: Pantano Gutierrez, Sergio Fabian. Instituto Pasteur de Montevideo; Uruguay |
description |
The small soluble aggregates of Aβ1-42 are broadly documented as potential targets for the development of new compounds with the capacity to inhibit the early stages of Alzheimer´s disease. Nevertheless, Aβ1-42 peptides show an intrinsically disordered character with a high propensity for aggregation, which complicates the identification of conserved structural patterns. Because of this, experimental techniques find substantial difficulties in the characterization of such soluble oligomers. Theoretical techniques, such as molecular dynamics (MD) simulations, provide a possible workaround for this problem. However, the computational cost associated with comprehensively sampling the vast conformational space accessible to these peptides might become prohibitive. In this sense, coarse-grained (CG) simulations can effectively overcome that hurdle at a fraction of the computational cost.In this dataset, we furnish an extensive collection of Aβ1-42 peptides in dimeric conformation generated with the SIRAH force field for CG MD simulation. It comprises 25 independent trajectories in .xtc (gromacs) format of Aβ1-42 couples of peptides that evolve towards dimeric states along eleven µs-long unbiased simulations. Thanks to the backmapping capabilities of our force field, pseudo atomistic coordinates can be straightforwardly recovered from MD trajectories reported here and analyzed with popular molecular editing programs. This set of simulations performed at room conditions and physiological salt concentrations may furnish a complete collection of inter-peptide interfaces that can be used in high-throughput docking or as new starting states for peptide oligomerization seeding of Aβ1-42 dimerization. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-08 |
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/11336/249754 Barrera Guisasola, Exequiel Ernesto; Pantano Gutierrez, Sergio Fabian; Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations; Elsevier; Data in Brief; 49; 8-2023; 1-5 2352-3409 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/249754 |
identifier_str_mv |
Barrera Guisasola, Exequiel Ernesto; Pantano Gutierrez, Sergio Fabian; Early stages in Aβ1-42 spontaneous aggregation: An unbiased dataset from coarse-grained molecular dynamics simulations; Elsevier; Data in Brief; 49; 8-2023; 1-5 2352-3409 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://www.sciencedirect.com/science/article/pii/S235234092300478X info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dib.2023.109359 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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13.13397 |