Revenant: A database of resurrected proteins

Autores
Carletti, Matías Sebastian; Monzon, Alexander; Garcia Rios, Emilio; Benítez, Guillermo Ignacio; Hirsh, Layla; Fornasari, Maria Silvina; Parisi, Gustavo Daniel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Carletti, Matías Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
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
Fil: Garcia Rios, Emilio. Pontificia Universidad Católica de Perú; Perú
Fil: Benítez, Guillermo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Hirsh, Layla. Pontificia Universidad Católica de Perú; Perú
Fil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Materia
Reconstruction
Ancestral
PROTEIN evolution
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/168286
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Revenant: A database of resurrected proteinsCarletti, Matías SebastianMonzon, AlexanderGarcia Rios, EmilioBenítez, Guillermo IgnacioHirsh, LaylaFornasari, Maria SilvinaParisi, Gustavo DanielReconstructionAncestralPROTEIN evolutionhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Revenant 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.Fil: Carletti, Matías Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Monzon, Alexander. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Università di Padova; ItaliaFil: Garcia Rios, Emilio. Pontificia Universidad Católica de Perú; PerúFil: Benítez, Guillermo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Hirsh, Layla. Pontificia Universidad Católica de Perú; PerúFil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaFil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; ArgentinaOxford University Press2020-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/168286Carletti, 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; 1-71758-0463CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1093/database/baaa031info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/database/article/doi/10.1093/database/baaa031/5828294info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:36:32Zoai:ri.conicet.gov.ar:11336/168286instacron: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 14:36:32.298CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Revenant: A database of resurrected proteins
title Revenant: A database of resurrected proteins
spellingShingle Revenant: A database of resurrected proteins
Carletti, Matías Sebastian
Reconstruction
Ancestral
PROTEIN evolution
title_short Revenant: A database of resurrected proteins
title_full Revenant: A database of resurrected proteins
title_fullStr Revenant: A database of resurrected proteins
title_full_unstemmed Revenant: A database of resurrected proteins
title_sort Revenant: A database of resurrected proteins
dc.creator.none.fl_str_mv Carletti, Matías Sebastian
Monzon, Alexander
Garcia Rios, Emilio
Benítez, Guillermo Ignacio
Hirsh, Layla
Fornasari, Maria Silvina
Parisi, Gustavo Daniel
author Carletti, Matías Sebastian
author_facet Carletti, Matías Sebastian
Monzon, Alexander
Garcia Rios, Emilio
Benítez, Guillermo Ignacio
Hirsh, Layla
Fornasari, Maria Silvina
Parisi, Gustavo Daniel
author_role author
author2 Monzon, Alexander
Garcia Rios, Emilio
Benítez, Guillermo Ignacio
Hirsh, Layla
Fornasari, Maria Silvina
Parisi, Gustavo Daniel
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Reconstruction
Ancestral
PROTEIN evolution
topic Reconstruction
Ancestral
PROTEIN evolution
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Carletti, Matías Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
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
Fil: Garcia Rios, Emilio. Pontificia Universidad Católica de Perú; Perú
Fil: Benítez, Guillermo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Hirsh, Layla. Pontificia Universidad Católica de Perú; Perú
Fil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
Fil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-01
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/11336/168286
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
1758-0463
CONICET Digital
CONICET
url http://hdl.handle.net/11336/168286
identifier_str_mv 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
1758-0463
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1093/database/baaa031
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/database/article/doi/10.1093/database/baaa031/5828294
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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
_version_ 1846082831217852416
score 13.22299

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