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Revenant: a database of resurrected proteins
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. Revenan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218706/ https://www.ncbi.nlm.nih.gov/pubmed/32400867 http://dx.doi.org/10.1093/database/baaa031 |
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author | Carletti, Matias Sebastian Monzon, Alexander Miguel Garcia-Rios, Emilio Benitez, Guillermo Hirsh, Layla Fornasari, Maria Silvina Parisi, Gustavo |
author_facet | Carletti, Matias Sebastian Monzon, Alexander Miguel Garcia-Rios, Emilio Benitez, Guillermo Hirsh, Layla Fornasari, Maria Silvina Parisi, Gustavo |
author_sort | Carletti, Matias Sebastian |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7218706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72187062020-05-18 Revenant: a database of resurrected proteins Carletti, Matias Sebastian Monzon, Alexander Miguel Garcia-Rios, Emilio Benitez, Guillermo Hirsh, Layla Fornasari, Maria Silvina Parisi, Gustavo Database (Oxford) Database Tool 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. Oxford University Press 2020-05-13 /pmc/articles/PMC7218706/ /pubmed/32400867 http://dx.doi.org/10.1093/database/baaa031 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Carletti, Matias Sebastian Monzon, Alexander Miguel Garcia-Rios, Emilio Benitez, Guillermo Hirsh, Layla Fornasari, Maria Silvina Parisi, Gustavo Revenant: a database of resurrected proteins |
title | 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_short | Revenant: a database of resurrected proteins |
title_sort | revenant: a database of resurrected proteins |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218706/ https://www.ncbi.nlm.nih.gov/pubmed/32400867 http://dx.doi.org/10.1093/database/baaa031 |
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