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InterPro in 2022

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, includin...

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Autores principales: Paysan-Lafosse, Typhaine, Blum, Matthias, Chuguransky, Sara, Grego, Tiago, Pinto, Beatriz Lázaro, Salazar, Gustavo A, Bileschi, Maxwell L, Bork, Peer, Bridge, Alan, Colwell, Lucy, Gough, Julian, Haft, Daniel H, Letunić, Ivica, Marchler-Bauer, Aron, Mi, Huaiyu, Natale, Darren A, Orengo, Christine A, Pandurangan, Arun P, Rivoire, Catherine, Sigrist, Christian J A, Sillitoe, Ian, Thanki, Narmada, Thomas, Paul D, Tosatto, Silvio C E, Wu, Cathy H, Bateman, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825450/
https://www.ncbi.nlm.nih.gov/pubmed/36350672
http://dx.doi.org/10.1093/nar/gkac993
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author Paysan-Lafosse, Typhaine
Blum, Matthias
Chuguransky, Sara
Grego, Tiago
Pinto, Beatriz Lázaro
Salazar, Gustavo A
Bileschi, Maxwell L
Bork, Peer
Bridge, Alan
Colwell, Lucy
Gough, Julian
Haft, Daniel H
Letunić, Ivica
Marchler-Bauer, Aron
Mi, Huaiyu
Natale, Darren A
Orengo, Christine A
Pandurangan, Arun P
Rivoire, Catherine
Sigrist, Christian J A
Sillitoe, Ian
Thanki, Narmada
Thomas, Paul D
Tosatto, Silvio C E
Wu, Cathy H
Bateman, Alex
author_facet Paysan-Lafosse, Typhaine
Blum, Matthias
Chuguransky, Sara
Grego, Tiago
Pinto, Beatriz Lázaro
Salazar, Gustavo A
Bileschi, Maxwell L
Bork, Peer
Bridge, Alan
Colwell, Lucy
Gough, Julian
Haft, Daniel H
Letunić, Ivica
Marchler-Bauer, Aron
Mi, Huaiyu
Natale, Darren A
Orengo, Christine A
Pandurangan, Arun P
Rivoire, Catherine
Sigrist, Christian J A
Sillitoe, Ian
Thanki, Narmada
Thomas, Paul D
Tosatto, Silvio C E
Wu, Cathy H
Bateman, Alex
author_sort Paysan-Lafosse, Typhaine
collection PubMed
description 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.
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spelling pubmed-98254502023-01-10 InterPro in 2022 Paysan-Lafosse, Typhaine Blum, Matthias Chuguransky, Sara Grego, Tiago Pinto, Beatriz Lázaro Salazar, Gustavo A Bileschi, Maxwell L Bork, Peer Bridge, Alan Colwell, Lucy Gough, Julian Haft, Daniel H Letunić, Ivica Marchler-Bauer, Aron Mi, Huaiyu Natale, Darren A Orengo, Christine A Pandurangan, Arun P Rivoire, Catherine Sigrist, Christian J A Sillitoe, Ian Thanki, Narmada Thomas, Paul D Tosatto, Silvio C E Wu, Cathy H Bateman, Alex Nucleic Acids Res Database Issue 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. Oxford University Press 2022-11-09 /pmc/articles/PMC9825450/ /pubmed/36350672 http://dx.doi.org/10.1093/nar/gkac993 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Paysan-Lafosse, Typhaine
Blum, Matthias
Chuguransky, Sara
Grego, Tiago
Pinto, Beatriz Lázaro
Salazar, Gustavo A
Bileschi, Maxwell L
Bork, Peer
Bridge, Alan
Colwell, Lucy
Gough, Julian
Haft, Daniel H
Letunić, Ivica
Marchler-Bauer, Aron
Mi, Huaiyu
Natale, Darren A
Orengo, Christine A
Pandurangan, Arun P
Rivoire, Catherine
Sigrist, Christian J A
Sillitoe, Ian
Thanki, Narmada
Thomas, Paul D
Tosatto, Silvio C E
Wu, Cathy H
Bateman, Alex
InterPro in 2022
title InterPro in 2022
title_full InterPro in 2022
title_fullStr InterPro in 2022
title_full_unstemmed InterPro in 2022
title_short InterPro in 2022
title_sort interpro in 2022
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825450/
https://www.ncbi.nlm.nih.gov/pubmed/36350672
http://dx.doi.org/10.1093/nar/gkac993
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