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dc.date.available
2024-05-10T12:39:45Z  
dc.identifier.citation
Barrera Guisasola, Exequiel Ernesto; Pantano Gutierrez, Sergio Fabian; (2024): Early stages in Ab1-42 spontaneous aggregation: an unbiased dataset from coarse-grained molecular dynamics simulations. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/235095  
dc.identifier.uri
http://hdl.handle.net/11336/235095  
dc.description.abstract
Soluble oligomers of Aβ-1-42 are widely recognized as crucial targets for the design of inhibitors for potential therapeutic intervention against Alzheimer´s disease. However, the intrinsically disordered character of this polypeptide poses serious difficulties for the experimental determination of conserved structural motifs. Indeed, initial aggregation steps are extremely challenging for state-of-the-art experimental techniques. Although molecular dynamics simulations harbor the potential to capture such initial association events, unbiased exploration of the conformational landscape available to unstructured dimers implies a significant computational cost. Here, we provide a dataset of configurations of Aβ1-42 dimers obtained by coarse-grained molecular dynamics (MD) simulations using the SIRAH force field. Trajectories are provided in standard gromacs format and can be easily converted to fully atomistic representations for visualization and analysis using molecular visualization/analysis software. The dataset contains MD trajectories of Aβ1-42 that undergo spontaneous and unbiased dimerization. We provide the time series of 25 replicates simulated for 10 microseconds under room conditions and physiological salt concentration. These multiple aggregation events provide valuable information not only on new binding pockets formed by the dimeric interface but also monomeric hot spots that can be targeted by small molecules on high-throughput docking campaigns. Alternatively, Aβ1-42 dimers could be used as aggregation seeds in studies of Aβ secondary nucleation  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.title
Early stages in Ab1-42 spontaneous aggregation: an unbiased dataset from coarse-grained molecular dynamics simulations  
dc.type
dataset  
dc.date.updated
2024-05-10T11:11:33Z  
dc.description.fil
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  
dc.description.fil
Fil: Pantano Gutierrez, Sergio Fabian. Instituto Pasteur de Montevideo. Laboratorio de Simuladores Biomoleculares; Uruguay  
dc.datacite.PublicationYear
2024  
dc.datacite.Creator
Barrera Guisasola, Exequiel Ernesto  
dc.datacite.Creator
Pantano Gutierrez, Sergio Fabian  
dc.datacite.affiliation
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  
dc.datacite.affiliation
Instituto Pasteur de Montevideo. Laboratorio de Simuladores Biomoleculares  
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.subject
Biofísica  
dc.datacite.subject
Ciencias Biológicas  
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS  
dc.datacite.subject
Ciencias de la Información y Bioinformática  
dc.datacite.subject
Ciencias de la Computación e Información  
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS  
dc.datacite.date
01/01/2023-16/05/2023  
dc.datacite.DateType
Creado  
dc.datacite.language
eng  
dc.datacite.AlternateIdentifierType
info:eu-repo/semantics/altIdentifier/doi/https://commons.datacite.org/doi.org/10.17632/h8y867fkry.2  
dc.datacite.version
2.0  
dc.datacite.description
Specifications Table SubjectBiological Sciences. Specific subject areaProtein Biophysics. Molecular dynamics simulations of Aβ1-42 peptides. Type of dataFiltered Data from molecular dynamics simulations. Coarse-grained molecular dynamics trajectories of Aβ1-42 dimerization process. How data were acquiredHardware: CPU (Intel Xeon Gold 6138, 2.00 GHz) accelerated with an Nvidia Tesla P100 GPU. Software: Gromacs 2018.4 using the SIRAH 2.0 force-field for performing MD simulations and SIRAH Tools, along with AmberTools 2018 and Amber14SB force-field implemented in VMD 1.9.3 for backmapping. Data formatFiltered Gromacs .xtc trajectories. Description of data collectionCoarse-grained molecular dynamics trajectories of dimerization events of Aβ1-42 peptides. Simulation frames of 25 independent replicas are reported every 0.1 ns of simulation. Data source locationPrimary Data was collected at the Uruguayan Centre for Supercomputing (ClusterUY) Montevideo Uruguay Data accessibilityRepository name: Mendeley Data Direct URL to data: https://data.mendeley.com/datasets/h8y867fkry/ 2 Instructions for accessing these data: Data is freely accessible from the web address above. Related research articleThe primary data were obtained following the same protocol ported by us in “Dissecting the role of glutamine in seeding peptide aggregation” by E. E. Barrera, F. Zonta, and S. Pantano, Computational and Structural Biotechnology Journal, 2021, DOI:10.1016/j.csbj.2021.02.014  
dc.datacite.DescriptionType
Tabla de contenidos  
dc.datacite.FundingReference
II/FVF/2019/051  
dc.datacite.FunderName
Instituto Pasteur de Montevideo  
dc.datacite.FunderName
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.subject.keyword
SIRAH  
dc.subject.keyword
Coarse-grained simulation  
dc.subject.keyword
Soluble oligomer  
dc.subject.keyword
Alzheimer  
dc.datacite.resourceTypeGeneral
dataset  
dc.conicet.datoinvestigacionid
15609  
dc.datacite.awardTitle
Búsqueda de inhibidores de la toxicidad beta-amiloide mediante cribado secuencial de moléculas pequeñas  
dc.conicet.justificacion
Los datos corresponden a trayectorias de dinámica molecular. Los mismos fueron generados a partir de cálculos computacionales.  
dc.datacite.formatedDate
2023