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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.<\/jats:p>","DOI":"10.1093\/database\/baaa031","type":"journal-article","created":{"date-parts":[[2020,4,13]],"date-time":"2020-04-13T19:12:25Z","timestamp":1586805145000},"source":"Crossref","is-referenced-by-count":8,"title":["Revenant: a database of resurrected proteins"],"prefix":"10.1093","volume":"2020","author":[{"given":"Matias Sebastian","family":"Carletti","sequence":"first","affiliation":[{"name":"Departamento de Ciencia y Tecnolog\u00eda, CONICET, Universidad Nacional de Quilmes, Roque Saenz Pe\u00f1a 182, Bernal, B1876BXD, Buenos Aires, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander Miguel","family":"Monzon","sequence":"first","affiliation":[{"name":"Departamento de Ciencia y Tecnolog\u00eda, CONICET, Universidad Nacional de Quilmes, Roque Saenz Pe\u00f1a 182, Bernal, B1876BXD, Buenos Aires, Argentina"},{"name":"Department of Biomedical Sciences, University of Padova, Viale G. 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