InterPro in 2022
| العنوان: | InterPro in 2022 |
|---|---|
| المؤلفون: | Typhaine Paysan-Lafosse, Matthias Blum, Sara Chuguransky, Tiago Grego, Beatriz Lázaro Pinto, Gustavo A Salazar, Maxwell L Bileschi, Peer Bork, Alan Bridge, Lucy Colwell, Julian Gough, Daniel H Haft, Ivica Letunić, Aron Marchler-Bauer, Huaiyu Mi, Darren A Natale, Christine A Orengo, Arun P Pandurangan, Catherine Rivoire, Christian J A Sigrist, Ian Sillitoe, Narmada Thanki, Paul D Thomas, Silvio C E Tosatto, Cathy H Wu, Alex Bateman |
| المصدر: | Nucleic Acids Research. 51:D418-D427 |
| بيانات النشر: | Oxford University Press (OUP), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Genetics |
| الوصف: | The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. Here, we report recent developments with InterPro (version 90.0) and its associated software, including updates to data content and to the website. These developments extend and enrich the information provided by InterPro, and provide a more user friendly access to the data. Additionally, we have worked on adding Pfam website features to the InterPro website, as the Pfam website will be retired in late 2022. We also show that InterPro's sequence coverage has kept pace with the growth of UniProtKB. Moreover, we report the development of a card game as a method of engaging the non-scientific community. Finally, we discuss the benefits and challenges brought by the use of artificial intelligence for protein structure prediction. |
| تدمد: | 1362-4962 0305-1048 |
| DOI: | 10.1093/nar/gkac993 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153bbcbf1ab56d7f060b0d1aec9c1f19 https://doi.org/10.1093/nar/gkac993 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....153bbcbf1ab56d7f060b0d1aec9c1f19 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13624962 03051048 |
|---|---|
| DOI: | 10.1093/nar/gkac993 |