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dc.contributor.author
Carletti, Matías Sebastian
dc.contributor.author
Monzon, Alexander
dc.contributor.author
Garcia Rios, Emilio
dc.contributor.author
Benítez, Guillermo Ignacio
dc.contributor.author
Hirsh, Layla
dc.contributor.author
Fornasari, Maria Silvina
dc.contributor.author
Parisi, Gustavo Daniel
dc.date.available
2022-09-12T12:28:40Z
dc.date.issued
2020-01
dc.identifier.citation
Carletti, Matías Sebastian; Monzon, Alexander; Garcia Rios, Emilio; Benítez, Guillermo Ignacio; Hirsh, Layla; et al.; Revenant: A database of resurrected proteins; Oxford University Press; Database; 2020; baaa031; 1-2020; 1-7
dc.identifier.uri
http://hdl.handle.net/11336/168286
dc.description.abstract
Revenant is a database of resurrected proteins coming from extinct organisms. Currently, it contains a manually curated collection of 84 resurrected proteins derived from bibliographic data. Each protein is extensively annotated, including structural, biochemical and biophysical information. Revenant contains a browse capability designed as a timeline from where the different proteins can be accessed. The oldest Revenant entries are between 4200 and 3500 million years ago, while the younger entries are between 8.8 and 6.3 million years ago. These proteins have been resurrected using computational tools called ancestral sequence reconstruction techniques combined with wet-laboratory synthesis and expression. Resurrected proteins are commonly used, with a noticeable increase during the past years, to explore and test different evolutionary hypotheses such as protein stability, to explore the origin of new functions, to get biochemical insights into past metabolisms and to explore specificity and promiscuous behaviour of ancient proteins.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oxford University Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Reconstruction
dc.subject
Ancestral
dc.subject
PROTEIN evolution
dc.subject.classification
Biología
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Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Revenant: A database of resurrected proteins
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-08T15:14:40Z
dc.identifier.eissn
1758-0463
dc.journal.volume
2020
dc.journal.number
baaa031
dc.journal.pagination
1-7
dc.journal.pais
Reino Unido
dc.journal.ciudad
Oxford
dc.description.fil
Fil: Carletti, Matías Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
dc.description.fil
Fil: Monzon, Alexander. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Università di Padova; Italia
dc.description.fil
Fil: Garcia Rios, Emilio. Pontificia Universidad Católica de Perú; Perú
dc.description.fil
Fil: Benítez, Guillermo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
dc.description.fil
Fil: Hirsh, Layla. Pontificia Universidad Católica de Perú; Perú
dc.description.fil
Fil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
dc.description.fil
Fil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
dc.journal.title
Database
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/database/baaa031
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/database/article/doi/10.1093/database/baaa031/5828294
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