Summary:
InterPro (https://www.ebi.ac.uk/interpro) is a freely accessible resource for the classification of protein sequences into families. It integrates predictive models, known as signatures, from multiple member databases to classify sequences into families and predict the presence of domains and significant sites. The InterPro database provides annotations for over 200 million sequences, ensuring extensive coverage of UniProtKB, the standard repository of protein sequences, and includes mappings to...
Link:
https://pubmed.ncbi.nlm.nih.gov/39565202/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20250514013738&v=2.18.0.post9+e462414
From feeds:
📚BioDBS Bibliography »
(database[TitleAbstract]) AND (Nucleic acids research[Journal])
Tags:
Authors:
Matthias Blum, Antonina Andreeva, Laise Cavalcanti Florentino, Sara Rocio Chuguransky, Tiago Grego, Emma Hobbs, Beatriz Lazaro Pinto, Ailsa Orr, Typhaine Paysan-Lafosse, Irina Ponamareva, Gustavo A Salazar, Nicola Bordin, Peer Bork, Alan Bridge, Lucy Colwell, Julian Gough, Daniel H Haft, Ivica Letunic, Felipe Llinares-López, Aron Marchler-Bauer, Laetitia Meng-Papaxanthos, Huaiyu Mi, Darren A Natale, Christine A Orengo, Arun P Pandurangan, Damiano Piovesan, Catherine Rivoire, Christian J A Sigrist, Narmada Thanki, Françoise Thibaud-Nissen, Paul D Thomas, Silvio C E Tosatto, Cathy H Wu, Alex Bateman
Date tagged:
05/14/2025, 01:37
Date published:
11/20/2024, 06:00