Ontology highlight
ABSTRACT:
SUBMITTER: Mitchell AL
PROVIDER: S-EPMC6323941 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Mitchell Alex L AL Attwood Teresa K TK Babbitt Patricia C PC Blum Matthias M Bork Peer P Bridge Alan A Brown Shoshana D SD Chang Hsin-Yu HY El-Gebali Sara S Fraser Matthew I MI Gough Julian J Haft David R DR Huang Hongzhan H Letunic Ivica I Lopez Rodrigo R Luciani Aurélien A Madeira Fabio F Marchler-Bauer Aron A Mi Huaiyu H Natale Darren A DA Necci Marco M Nuka Gift G Orengo Christine C Pandurangan Arun P AP Paysan-Lafosse Typhaine T Pesseat Sebastien S Potter Simon C SC Qureshi Matloob A MA Rawlings Neil D ND Redaschi Nicole N Richardson Lorna J LJ Rivoire Catherine C Salazar Gustavo A GA Sangrador-Vegas Amaia A Sigrist Christian J A CJA Sillitoe Ian I Sutton Granger G GG Thanki Narmada N Thomas Paul D PD Tosatto Silvio C E SCE Yong Siew-Yit SY Finn Robert D RD
Nucleic acids research 20190101 D1
The InterPro database (http://www.ebi.ac.uk/interpro/) classifies protein sequences into families and predicts the presence of functionally important domains and sites. Here, we report recent developments with InterPro (version 70.0) and its associated software, including an 18% growth in the size of the database in terms on new InterPro entries, updates to content, the inclusion of an additional entry type, refined modelling of discontinuous domains, and the development of a new programmatic in ...[more]