Evidence map›Paper›PMID 32400867›Full record

ArticleDatabase : the journal of biological databases and curation2020

Revenant: a database of resurrected proteins.

Matias Sebastian Carletti, Alexander Miguel Monzon, Emilio Garcia-Rios, Guillermo Benitez, Layla Hirsh, Maria Silvina Fornasari, Gustavo Parisi

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Advances and opportunities for computational interrogation of plant proteins.The Plant journal : for cell and molecular biology · 2026
    Review
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Matias Sebastian CarlettiDepartamento de Ciencia y Tecnología, CONICET, Universidad Nacional de Quilmes, Roque Saenz Peña 182, Bernal, B1876BXD, Buenos Aires, Argentina.
Alexander Miguel MonzonDepartamento de Ciencia y Tecnología, CONICET, Universidad Nacional de Quilmes, Roque Saenz Peña 182, Bernal, B1876BXD, Buenos Aires, Argentina.
Emilio Garcia-RiosDepartamento de Ingeniería, Pontificia Universidad Católica del Perú, Lima, Perú.
Guillermo BenitezDepartamento de Ciencia y Tecnología, CONICET, Universidad Nacional de Quilmes, Roque Saenz Peña 182, Bernal, B1876BXD, Buenos Aires, Argentina.
Layla HirshDepartamento de Ingeniería, Pontificia Universidad Católica del Perú, Lima, Perú.
Maria Silvina FornasariDepartamento de Ciencia y Tecnología, CONICET, Universidad Nacional de Quilmes, Roque Saenz Peña 182, Bernal, B1876BXD, Buenos Aires, Argentina.
Gustavo ParisiDepartamento de Ciencia y Tecnología, CONICET, Universidad Nacional de Quilmes, Roque Saenz Peña 182, Bernal, B1876BXD, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, ProteinExtinction, BiologicalProteinsEvolution, MolecularProteins

Identifiers

PMID32400867
PMCPMC7218706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.