InterPro in 2017-beyond protein family and domain annotations

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

doi:10.1093/nar/gkw1107

InterPro in 2017-beyond protein family and domain annotations

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 MiJaina 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

Bio-Health Informatics

Research output: Contribution to journal › Article › peer-review

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 InterPro'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.

Original language	English
Pages (from-to)	D190-D199
Journal	Nucleic acids research
Volume	45
Issue number	D1
Early online date	28 Nov 2016
DOIs	https://doi.org/10.1093/nar/gkw1107
Publication status	Published - 4 Jan 2017

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10.1093/nar/gkw1107Licence: CC BY

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Finn, R. D., Attwood, T. K., Babbitt, P. C., Bateman, A., Bork, P., Bridge, A. J., Chang, H.-Y., Dosztányi, Z., El-Gebali, S., Fraser, M., Gough, J., Haft, D., Holliday, G. L., Huang, H., Huang, X., Letunic, I., Lopez, R., Lu, S., Marchler-Bauer, A., ... Mitchell, A. L. (2017). InterPro in 2017-beyond protein family and domain annotations. Nucleic acids research, 45(D1), D190-D199. https://doi.org/10.1093/nar/gkw1107

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title = "InterPro in 2017-beyond protein family and domain annotations",

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 InterPro'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.",

author = "Finn, {Robert D} and Attwood, {Teresa K} and Babbitt, {Patricia C} and Alex Bateman and Peer Bork and Bridge, {Alan J} and Hsin-Yu Chang and Zsuzsanna Doszt{\'a}nyi and Sara El-Gebali and Matthew Fraser and Julian Gough and David Haft and Holliday, {Gemma L} and Hongzhan Huang and Xiaosong Huang and Ivica Letunic and Rodrigo Lopez and Shennan Lu and Aron Marchler-Bauer and Huaiyu Mi and Jaina Mistry and Natale, {Darren A} and Marco Necci and Gift Nuka and Orengo, {Christine A} and Youngmi Park and Sebastien Pesseat and Damiano Piovesan and Potter, {Simon C} and Rawlings, {Neil D} and Nicole Redaschi and Lorna Richardson and Catherine Rivoire and Amaia Sangrador-Vegas and Christian Sigrist and Ian Sillitoe and Ben Smithers and Silvano Squizzato and Granger Sutton and Narmada Thanki and Thomas, {Paul D} and Tosatto, {Silvio C E} and Wu, {Cathy H} and Ioannis Xenarios and Lai-Su Yeh and Siew-Yit Young and Mitchell, {Alex L}",

note = "{\textcopyright} The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.",

year = "2017",

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doi = "10.1093/nar/gkw1107",

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Finn, RD, Attwood, TK, Babbitt, PC, Bateman, A, Bork, P, Bridge, AJ, Chang, H-Y, Dosztányi, Z, El-Gebali, S, Fraser, M, Gough, J, Haft, D, Holliday, GL, Huang, H, Huang, X, Letunic, I, Lopez, R, Lu, S, Marchler-Bauer, A, Mi, H, Mistry, J, Natale, DA, Necci, M, Nuka, G, Orengo, CA, Park, Y, Pesseat, S, Piovesan, D, Potter, SC, Rawlings, ND, Redaschi, N, Richardson, L, Rivoire, C, Sangrador-Vegas, A, Sigrist, C, Sillitoe, I, Smithers, B, Squizzato, S, Sutton, G, Thanki, N, Thomas, PD, Tosatto, SCE, Wu, CH, Xenarios, I, Yeh, L-S, Young, S-Y & Mitchell, AL 2017, 'InterPro in 2017-beyond protein family and domain annotations', Nucleic acids research, vol. 45, no. D1, pp. D190-D199. https://doi.org/10.1093/nar/gkw1107

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T1 - InterPro in 2017-beyond protein family and domain annotations

AU - Finn, Robert D

AU - Attwood, Teresa K

AU - Babbitt, Patricia C

AU - Bateman, Alex

AU - Bork, Peer

AU - Bridge, Alan J

AU - Chang, Hsin-Yu

AU - Dosztányi, Zsuzsanna

AU - El-Gebali, Sara

AU - Fraser, Matthew

AU - Gough, Julian

AU - Haft, David

AU - Holliday, Gemma L

AU - Huang, Hongzhan

AU - Huang, Xiaosong

AU - Letunic, Ivica

AU - Lopez, Rodrigo

AU - Lu, Shennan

AU - Marchler-Bauer, Aron

AU - Mi, Huaiyu

AU - Mistry, Jaina

AU - Natale, Darren A

AU - Necci, Marco

AU - Nuka, Gift

AU - Orengo, Christine A

AU - Park, Youngmi

AU - Pesseat, Sebastien

AU - Piovesan, Damiano

AU - Potter, Simon C

AU - Rawlings, Neil D

AU - Redaschi, Nicole

AU - Richardson, Lorna

AU - Rivoire, Catherine

AU - Sangrador-Vegas, Amaia

AU - Sigrist, Christian

AU - Sillitoe, Ian

AU - Smithers, Ben

AU - Squizzato, Silvano

AU - Sutton, Granger

AU - Thanki, Narmada

AU - Thomas, Paul D

AU - Tosatto, Silvio C E

AU - Wu, Cathy H

AU - Xenarios, Ioannis

AU - Yeh, Lai-Su

AU - Young, Siew-Yit

AU - Mitchell, Alex L

PY - 2017/1/4

Y1 - 2017/1/4

N2 - 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 InterPro'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.

AB - 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 InterPro'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.

U2 - 10.1093/nar/gkw1107

DO - 10.1093/nar/gkw1107

M3 - Article

C2 - 27899635

SN - 0305-1048

VL - 45

SP - D190-D199

JO - Nucleic acids research

JF - Nucleic acids research

IS - D1

ER -

InterPro in 2017-beyond protein family and domain annotations

Abstract

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