Enzyme Engineering Database (EnzEngDB): a platform for sharing and interpreting sequence-function relationships across protein engineering campaigns

(database[TitleAbstract]) AND (Nucleic acids research[Journal]) 2025-12-10

Summary:

The discovery and engineering of new enzymes is important across the bioeconomy, with diverse applications from foods to pharmaceuticals, sensors to agriculture. However, enzyme engineering, in particular machine learning-guided engineering, is hampered by a lack of data. Currently there exists no database designed to capture and interpret datasets created in this domain, nor are there easy analysis and visualisation tools. We developed the Enzyme Engineering Database to provide a centralized...

Link:

https://pubmed.ncbi.nlm.nih.gov/41359034/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20251210063824&v=2.18.0.post22+67771e2

From feeds:

📚BioDBS Bibliography » (database[TitleAbstract]) AND (Nucleic acids research[Journal])

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Authors:

Yueming Long, Fatemeh Abbasinejad, Francesca-Zhoufan Li, Pierre Reinprecht, Bruce Wittmann, Jennifer L Kennemur, Hayden Carder, Jason Yang, Theophile Lambert, Ryen O'Meara, Lukas Radtke, Ziyang Qin, Sabine Brinkmann-Chen, Frances Arnold, Ariane Mora

Date tagged:

12/10/2025, 06:38

Date published:

12/08/2025, 06:00