InterPro in 2017––beyond protein family and domain annotations
Date
2016-11-28
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford University Press
Abstract
InterPro (http://www.ebi.ac.uk/interpro/) is a freely
available database used to classify protein sequences
into families and to predict the presence
of important domains and sites. InterProScan is the
underlying software that allows both protein and nucleic
acid sequences to be searched against Inter-
Pro’s predictive models, which are provided by its
member databases. Here, we report recent developments
with InterPro and its associated software, including
the addition of two new databases (SFLD and
CDD), and the functionality to include residue-level
annotation and prediction of intrinsic disorder. These
developments enrich the annotations provided by InterPro,
increase the overall number of residues annotated
and allow more specific functional inferences.
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Citation
Robert D. Finn, Teresa K. Attwood, Patricia C. Babbitt, Alex Bateman, Peer Bork, Alan J. Bridge, Hsin-Yu Chang, Zsuzsanna Dosztányi, Sara El-Gebali, Matthew Fraser, Julian Gough, David Haft, Gemma L. Holliday, Hongzhan Huang, Xiaosong Huang, Ivica Letunic, Rodrigo Lopez, Shennan Lu, Aron Marchler-Bauer, Huaiyu Mi, Jaina Mistry, Darren A. Natale, Marco Necci, Gift Nuka, Christine A. Orengo, Youngmi Park, Sebastien Pesseat, Damiano Piovesan, Simon C. Potter, Neil D. Rawlings, Nicole Redaschi, Lorna Richardson, Catherine Rivoire, Amaia Sangrador-Vegas, Christian Sigrist, Ian Sillitoe, Ben Smithers, Silvano Squizzato, Granger Sutton, Narmada Thanki, Paul D Thomas, Silvio C. E. Tosatto, Cathy H. Wu, Ioannis Xenarios, Lai-Su Yeh, Siew-Yit Young, Alex L. Mitchell; InterPro in 2017—beyond protein family and domain annotations. Nucleic Acids Res 2017; 45 (D1): D190-D199. doi: 10.1093/nar/gkw1107