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Nucleic Acids Research | 2009

InterPro: the integrative protein signature database

Sarah Hunter; Rolf Apweiler; Teresa K. Attwood; Amos Marc Bairoch; Alex Bateman; David Binns; Peer Bork; Ujjwal Das; Louise Daugherty; Lauranne Duquenne; Robert D. Finn; Julian Gough; Daniel H. Haft; Nicolas Hulo; Daniel Kahn; Elizabeth Kelly; Aurélie Laugraud; Ivica Letunic; David M. Lonsdale; Rodrigo Lopez; John Maslen; Craig McAnulla; Jennifer McDowall; Jaina Mistry; Alex L. Mitchell; Nicola Mulder; Darren A. Natale; Christine A. Orengo; Antony F. Quinn; Jeremy D. Selengut

The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or ‘signatures’ representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total ∼58 000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein–protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).


Nucleic Acids Research | 2012

InterPro in 2011: new developments in the family and domain prediction database

Sarah Hunter; P. D. Jones; Alex L. Mitchell; Rolf Apweiler; Teresa K. Attwood; Alex Bateman; Thomas Bernard; David Binns; Peer Bork; Sarah W. Burge; Edouard de Castro; Penny Coggill; Matthew Corbett; Ujjwal Das; Louise Daugherty; Lauranne Duquenne; Robert D. Finn; Matthew Fraser; Julian Gough; Daniel H. Haft; Nicolas Hulo; Daniel Kahn; Elizabeth Kelly; Ivica Letunic; David M. Lonsdale; Rodrigo Lopez; John Maslen; Craig McAnulla; Jennifer McDowall; Conor McMenamin

InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.


Nucleic Acids Research | 2004

InterPro, progress and status in 2005

Nicola Mulder; Rolf Apweiler; Teresa K. Attwood; Amos Marc Bairoch; Alex Bateman; David Binns; Paul Bradley; Peer Bork; Phillip Bucher; Lorenzo Cerutti; Richard R. Copley; Emmanuel Courcelle; Ujjwal Das; Richard Durbin; Wolfgang Fleischmann; Julian Gough; Daniel H. Haft; Nicola Harte; Nicolas Hulo; Daniel Kahn; Alexander Kanapin; Maria Krestyaninova; David M. Lonsdale; Rodrigo Lopez; Ivica Letunic; John Maslen; Jennifer McDowall; Alex L. Mitchell; Anastasia N. Nikolskaya; Sandra Orchard

InterPro, an integrated documentation resource of protein families, domains and functional sites, was created to integrate the major protein signature databases. Currently, it includes PROSITE, Pfam, PRINTS, ProDom, SMART, TIGRFAMs, PIRSF and SUPERFAMILY. Signatures are manually integrated into InterPro entries that are curated to provide biological and functional information. Annotation is provided in an abstract, Gene Ontology mapping and links to specialized databases. New features of InterPro include extended protein match views, taxonomic range information and protein 3D structure data. One of the new match views is the InterPro Domain Architecture view, which shows the domain composition of protein matches. Two new entry types were introduced to better describe InterPro entries: these are active site and binding site. PIRSF and the structure-based SUPERFAMILY are the latest member databases to join InterPro, and CATH and PANTHER are soon to be integrated. InterPro release 8.0 contains 11 007 entries, representing 2573 domains, 8166 families, 201 repeats, 26 active sites, 21 binding sites and 20 post-translational modification sites. InterPro covers over 78% of all proteins in the Swiss-Prot and TrEMBL components of UniProt. The database is available for text- and sequence-based searches via a webserver (http://www.ebi.ac.uk/interpro), and for download by anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro).


Nucleic Acids Research | 2007

New developments in the InterPro database

Nicola Mulder; Rolf Apweiler; Teresa K. Attwood; Amos Marc Bairoch; Alex Bateman; David Binns; Peer Bork; Virginie Buillard; Lorenzo Cerutti; Richard R. Copley; Emmanuel Courcelle; Ujjwal Das; Louise Daugherty; Mark Dibley; Robert D. Finn; Wolfgang Fleischmann; Julian Gough; Daniel H. Haft; Nicolas Hulo; Sarah Hunter; Daniel Kahn; Alexander Kanapin; Anish Kejariwal; Alberto Labarga; Petra S. Langendijk-Genevaux; David M. Lonsdale; Rodrigo Lopez; Ivica Letunic; John Maslen; Craig McAnulla

InterPro is an integrated resource for protein families, domains and functional sites, which integrates the following protein signature databases: PROSITE, PRINTS, ProDom, Pfam, SMART, TIGRFAMs, PIRSF, SUPERFAMILY, Gene3D and PANTHER. The latter two new member databases have been integrated since the last publication in this journal. There have been several new developments in InterPro, including an additional reading field, new database links, extensions to the web interface and additional match XML files. InterPro has always provided matches to UniProtKB proteins on the website and in the match XML file on the FTP site. Additional matches to proteins in UniParc (UniProt archive) are now available for download in the new match XML files only. The latest InterPro release (13.0) contains more than 13 000 entries, covering over 78% of all proteins in UniProtKB. The database is available for text- and sequence-based searches via a webserver (), and for download by anonymous FTP (). The InterProScan search tool is now also available via a web service at .


Cell | 1983

Maize mitochondrial DNA contains a sequence homologous to the ribulose-1,5-bisphosphate carboxylase large subunit gene of chloroplast DNA

David M. Lonsdale; Tony P. Hodge; Christopher J. Howe; David B. Stem

The mitochondrial genome of maize contains a DNA sequence homologous to the chloroplast gene coding for the large subunit of ribulose-1,5-bisphosphate carboxylase (LS gene). The presence in mitochondrial DNA of both coding and flanking sequences of this gene has been demonstrated first, by cross hybridization between the purified organelle DNAs and between cloned mitochondrial and chloroplast DNA sequences and second, by in vitro transcription-translation of cloned mitochondrial DNA in an E. coli cell free system where a 21,000 dalton polypeptide is synthesized that can be precipitated with antibodies to wheat ribulose-1,5-bisphosphate carboxylase. In contrast to the 12 kb chloroplast homologous sequence found in the mitochondrial genome (Stern and Lonsdale, 1982), the sequence homologous to the LS gene is unaltered in mitochondrial DNA isolated from the male sterile cytoplasms of maize. The LS gene homologous sequence in the mitochondrial genome is located some 65 kb from the 18S mitochondrial rRNA gene and approximately 20 kb from the mitochondrial DNA sequence having homology to the chloroplast 16S rRNA gene.


Cell | 1985

Mitochondrial DNA rearrangements associated with fertile revertants of S-type male-sterile maize

Christopher L. Schardl; Daryl R. Pring; David M. Lonsdale

The mitochondrial genome of the S-type male-sterile cytoplasm of maize appears to be a collection of linear DNA molecules that are maintained by two linear episomal DNA species, S1 (6397 bp) and S2 (5453 bp), recombining with larger circular molecules. The M825 inbred nuclear genotype promotes a high frequency of spontaneous fertile mutants. Where the mutation is maternally inherited, analysis of the mitochondrial DNA reveals that the S1 and S2 episomes and all associated linear molecules have been lost. Integrated copies of the S1 and S2 episomes are retained, though part of one of the two terminal inverted repeats of the integrated S2 sequence has been deleted in all revertants studied. This deletion appears to correlate with the absence of the S2-URF-1 transcript.


Plant Molecular Biology | 1984

A review of the structure and organization of the mitochondrial genome of higher plants.

David M. Lonsdale

SummaryThe structure, organisation and functions of the mitochondrial genome of most groups of eukaryotic organisms are known to varying degrees with the notable exception of higher plants. With the recent completion of physical mapping studies on the Brassica campestris (Chinese cabbage, turnip) and Zea mays (maize) mitochondrial genomes, many of the apparent problems of plant mitochondrial genome structure can now be answered. In this manuscript I review the literature relating to the physical observations on plant mitochondrial DNA (mtDNA) and assess the data in relation to our current understanding of mitochondrial genome structure.


Molecular Genetics and Genomics | 1993

Partial characterization of the Nicotiana tabacum actin gene family: Evidence for pollen-specific expression of one of the gene family members

Madan Thangavelu; Dmitry A. Belostotsky; Michael W. Bevan; Richard B. Flavell; Hilary J. Rogers; David M. Lonsdale

The actin gene family of Nicotiana tabacum has been partially characterised by Southern hybridisation and by isolating λEMBL4 recombinants from a genomic library having homology to the soybean actin gene, Sac3. The number of actin genes with homology to Sac3 is estimated at between 20 to 30, based on Southern hybridisation and library screening, though the total gene family may be larger. Twenty-four recombinant λ clones were isolated, 18 had unique restriction profiles and from these, 2 clones, Tac9 and Tac25, were selected for further study. The region of Tac25 hybridizing to Sac3 was sequenced and shown to contain an open reading frame (ORF) with homology to actin. Partial sequencing of Tac9 revealed a sequence with homology to the third exon of Tac25 and Sac3. The two tobacco actin sequences were compared to other reported actin gene sequences; Tac25 was closely related to the allelic potato actins, Pac58 and Pac85, while Tac9 was more related to Pac79 than to other plant actins. Northern hybridisation analysis showed that while Tac9 detected actin transcripts in RNA from root, leaf, stigma and pollen, Tac25 transcripts were only detected in pollen RNA.


Database | 2012

Manual GO annotation of predictive protein signatures: the InterPro approach to GO curation

Sarah W. Burge; Elizabeth Kelly; David M. Lonsdale; Prudence Mutowo-Muellenet; Craig McAnulla; Alex L. Mitchell; Amaia Sangrador-Vegas; Siew-Yit Yong; Nicola Mulder; Sarah Hunter

InterPro amalgamates predictive protein signatures from a number of well-known partner databases into a single resource. To aid with interpretation of results, InterPro entries are manually annotated with terms from the Gene Ontology (GO). The InterPro2GO mappings are comprised of the cross-references between these two resources and are the largest source of GO annotation predictions for proteins. Here, we describe the protocol by which InterPro curators integrate GO terms into the InterPro database. We discuss the unique challenges involved in integrating specific GO terms with entries that may describe a diverse set of proteins, and we illustrate, with examples, how InterPro hierarchies reflect GO terms of increasing specificity. We describe a revised protocol for GO mapping that enables us to assign GO terms to domains based on the function of the individual domain, rather than the function of the families in which the domain is found. We also discuss how taxonomic constraints are dealt with and those cases where we are unable to add any appropriate GO terms. Expert manual annotation of InterPro entries with GO terms enables users to infer function, process or subcellular information for uncharacterized sequences based on sequence matches to predictive models. Database URL: http://www.ebi.ac.uk/interpro. The complete InterPro2GO mappings are available at: ftp://ftp.ebi.ac.uk/pub/databases/GO/goa/external2go/interpro2go


Molecular Genetics and Genomics | 1990

Localization and organization of tRNA genes on the mitochondrial genomes of fertile and male sterile lines of maize

Abdourahamane Sangaré; Jacques-Henry Weil; Jean-Michel Grienenberger; Christiane M.-R. Fauron; David M. Lonsdale

SummaryMaize mitochondrial (mt) tRNA genes were localized on the mt master circles of two fertile lines (WF9-N and B37-N) and of one cytoplasmic male sterile line (B37-cmsT) of maize. The three genomes contain 16 tRNA genes with 14 different anticodons which correspond to 13 amino acids. Out of these 16 tRNA genes, 6 show a high degree of homology with the corresponding chloroplast (cp) tRNA genes and were shown to originate from cp DNA insertions and to be expressed in the mitochondria. The organization of the mt tRNA genes in both fertile lines is similar. The same genes are found, in the same environment, as judged from the restriction maps, in fertile and male sterile lines that have the same nuclear background, but the relative organization of the mt tRNA genes on the master circle is completely different.

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Rolf Apweiler

European Bioinformatics Institute

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Alex Bateman

European Bioinformatics Institute

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David Binns

European Bioinformatics Institute

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Ivica Letunic

European Bioinformatics Institute

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Ujjwal Das

European Bioinformatics Institute

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Nicolas Hulo

Swiss Institute of Bioinformatics

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Peer Bork

University of Würzburg

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Daniel H. Haft

J. Craig Venter Institute

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