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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/249754

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spelling 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
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
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