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5. The InterPro database, an integrated documentation resource for protein families, domains and functional sites.

Author

Rolf Apweiler, Terri K. Attwood, Amos Bairoch, Alex Bateman, Ewan Birney, Margaret Biswas, Philipp Bucher, Lorenzo Cerutti, Florence Corpet, Michael D. R. Croning, Richard Durbin, Laurent Falquet, Wolfgang Fleischmann, Jérôme Gouzy, Henning Hermjakob, Nicolas Hulo, Inge Jonassen, Daniel Kahn, Alexander Kanapin, Youla Karavidopoulou, Rodrigo Lopez, Beate Marx, Nicola J. Mulder, Thomas M. Oinn, Marco Pagni, Florence Servant, Christian J. A. Sigrist, and Evgeni M. Zdobnov

Published
2001
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6. InterPro-an integrated documentation resource for protein families, domains and functional sites.

Author

Rolf Apweiler, Terri K. Attwood, Amos Bairoch, Alex Bateman, Ewan Birney, Margaret Biswas, Philipp Bucher, Lorenzo Cerutti, Florence Corpet, Michael D. R. Croning, Richard Durbin, Laurent Falquet, Wolfgang Fleischmann, Jérôme Gouzy, Henning Hermjakob, Nicolas Hulo, Inge Jonassen, Daniel Kahn, Alexander Kanapin, Youla Karavidopoulou, Rodrigo Lopez, Beate Marx, Nicola J. Mulder, Thomas M. Oinn, Marco Pagni, Florence Servant, Christian J. A. Sigrist, and Evgeni M. Zdobnov

Published
2000
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9. Transcriptome analysis for the chicken based on 19,626 finished cDNA sequences and 485,337 expressed sequence tags

Author

Haizhou Tang, James K. Bonfield, Jane Rogers, Christopher Hyland, Ian M. Overton, Matthew D. Francis, Ewan Birney, Simon J. Hubbard, William Brown, Joan Burnside, Darren Grafham, Sam Griffiths-Jones, Michael D. R. Croning, Kevin J. Beattie, Carol Scott, Robert L. Davies, Sean Humphray, Elizabeth R. Farrell, Ruth Taylor, Stuart A. Wilson, Paul E. Boardman, Stuart McLaren, and Cheryll Tickle

Subjects
animal structures, DNA, Complementary, RNA, Untranslated, Transcription, Genetic, Sequence analysis, Sequence alignment, Biology, Transcriptome, Chicken Special/Resources, Complementary DNA, Genetics, Ensembl, Animals, Humans, Genomic library, Cloning, Molecular, Gene, Genetics (clinical), Gene Library, Expressed Sequence Tags, Expressed sequence tag, Computational Biology, Sequence Analysis, DNA, MicroRNAs, Chickens, Sequence Alignment
Abstract

We present an analysis of the chicken (Gallus gallus) transcriptome based on the full insert sequences for 19,626 cDNAs, combined with 485,337 EST sequences. The cDNA data set has been functionally annotated and describes a minimum of 11,929 chicken coding genes, including the sequence for 2260 full-length cDNAs together with a collection of noncoding (nc) cDNAs that have been stringently filtered to remove untranslated regions of coding mRNAs. The combined collection of cDNAs and ESTs describe 62,546 clustered transcripts and provide transcriptional evidence for a total of 18,989 chicken genes, including 88% of the annotated Ensembl gene set. Analysis of the ncRNAs reveals a set that is highly conserved in chickens and mammals, including sequences for 14 pri-miRNAs encoding 23 different miRNAs. The data sets described here provide a transcriptome toolkit linked to physical clones for bioinformaticians and experimental biologists who wish to use chicken systems as a low-cost, accessible alternative to mammals for the analysis of vertebrate development, immunology, and cell biology.

Published
2004
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10. The InterPro database an integrated documentation resource for protein families domains and functional sites

Author

Nicola Mulder, Wolfgang Fleischmann, Jérôme Gouzy, Rodrigo Lopez, Laurent Falquet, Evgeni M. Zdobnov, Inge Jonassen, Tom Oinn, Rolf Apweiler, Lorenzo Cerutti, Margaret Biswas, Amos Marc Bairoch, Daniel Kahn, Christian J. A. Sigrist, Alexander Kanapin, Richard Durbin, Ewan Birney, Florence Corpet, Nicolas Hulo, Philipp Bucher, Beate Marx, Teresa K. Attwood, Alex Bateman, Michael D. R. Croning, Youla Karavidopoulou, Florence Servant, Marco Pagni, Henning Hermjakob, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Bioinformatique, phylogénie et génomique évolutive (BPGE), Département PEGASE [LBBE] (PEGASE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE)

Subjects
InterPro, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Protein family, Databases, Factual, Simple Modular Architecture Research Tool, Information Services, Internet, Protein Structure, Tertiary, Proteins, PROSITE, Biology, computer.software_genre, Article, 03 medical and health sciences, Annotation, Resource (project management), Documentation, Genetics, Proteins/chemistry/genetics, Regular expression, ddc:576, 030304 developmental biology, 0303 health sciences, Database, 030302 biochemistry & molecular biology, computer, Autre (Sciences du Vivant)
Abstract

Signature databases are vital tools for identifying distant relationships in novel sequences and hence for inferring protein function. InterPro is an integrated documentation resource for protein families, domains and functional sites, which amalgamates the efforts of the PROSITE, PRINTS, Pfam and ProDom database projects. Each InterPro entry includes a functional description, annotation, literature references and links back to the relevant member database(s). Release 2.0 of InterPro (October 2000) contains over 3000 entries, representing families, domains, repeats and sites of post-translational modification encoded by a total of 6804 different regular expressions, profiles, fingerprints and Hidden Markov Models. Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (more than 1 000 000 hits from 462 500 proteins in SWISS-PROT and TrEMBL). The database is accessible for text- and sequence-based searches at http://www.ebi.ac.uk/interpro/. Questions can be emailed to interhelp@ebi.ac.uk.

Published
2001

11. Correction: Corrigendum: Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

Author

Lindsay Robertson, Christian von Mering, David Torrents, Paul E. Boardman, Erik Axelsson, Pieter J. deJong, Darren K. Griffin, Ivan Ovcharenko, James K. Bonfield, Tina Graves, Hidetoshi Inoko, Cheryll Tickle, Tracie L. Miner, Kevin J. Beattie, Leo Goodstadt, David W. Burt, John W. Wallis, Richard P. M. A. Crooijmans, Marcia M. Miller, Zissimos Mourelatos, David Speed, Dan Layman, Robert L. Davies, Laura Elnitski, Michael N Romanov, Michael R. Brent, Francesca Chiaromonte, Svitlana Tyekucheva, Jun Wang, Susanne Kerje, Wesley C. Warren, J. J. Emerson, Sergi Castellano, Catrina Fronick, Mary E. Delany, Stuart McLaren, Eduardo Eyras, Kimberly D. Delehaunty, Takashi Shiina, Lucinda Fulton, Michael N. Nhan, Elaine R. Mardis, Mikael Brandström, Patrick Minx, LaDeana W. Hillier, Pavel A. Pevzner, John Douglas Mcpherson, Adam Siepel, David C. King, Lisa Stubbs, Ivica Letunic, Niclas Backström, Hiroshi Arakawa, Maxim Koriabine, Stephen M. J. Searle, Valerie Fillon, Gill Bejerano, Bob Paton, Glenn Tesler, Jessica Severin, Ze Cheng, Leif C. Andersson, Zhirong Bao, David Haussler, Roderic Guigó, Francisco Camara, Sandra W. Clifton, Robert Ivarie, Rick K. Wilson, James C. Kaufman, Mikhail Nefedov, Scott M. Smith, David Shteynberg, Anton Nekrutenko, Mikita Suyama, Jacqueline Smith, Susan Lucas, Arian F.A. Smit, Robert Castelo, Martien A. M. Groenen, Ewan Birney, William Brown, Shiaw-Pyng Yang, Karsten Skjoedt, Lina Jacobbson, Carol Scott, Paul Flicek, Webb Miller, Andrzej M. Kierzek, Yuri Bezzubov, Catherine M. Rondelli, David Morrice, Olivier Pourquié, Stylianos E. Antonarakis, Michael D. R. Croning, Catherine Ucla, Brian J. Raney, Jan Aerts, Jian Wang, Lachlan G. Oddy, Simon J. Hubbard, Peer Bork, Asif T. Chinwalla, Anusha Radakrishnan, Evgeny M. Zdobnov, Artemis G. Hatzigeorgiou, Hans Ellegren, Alain Vignal, Jean-Marie Buerstedde, Matthew T. Webster, Robert S. Harris, Lior Pachter, Henrik Kaessmann, Manyuan Long, Bin Liu, Colin Kremitzki, Pallavi Eswara, Jane Rogers, Evan E. Eichler, Darren Grafham, Jianbin He, D. Waddington, Laurie Gordon, Caleb Webber, W. James Kent, Sam Griffiths-Jones, Gane Ka-Shu Wong, Esther Betrán, Andrew H. Paterson, Sourav Chatterji, Jan J. van der Poel, Nicholas J. Dickens, Terrence S. Furey, Genís Parra, Ian M. Overton, Chris P. Ponting, Randolph B. Caldwell, Sofia Berlin, Isabelle Dupanloup, Rachel A. Harte, Eray Tuzun, Julio S. Masabanda, Matthew D. Francis, Elizabeth J. Huckle, Andy Law, Robert S. Fulton, Kateryna D. Makova, Jan Salomonsen, William E. Nash, Helen G. Tempest, Ross C. Hardison, Sean Humphray, Jerry B. Dodgson, James E. Taylor, Paul F. Cliften, Guillaume Bourque, Monique Rijnkels, Angie S. Hinrichs, Joanne O. Nelson, Josep F. Abril, Colin N. Dewey, Alexandre Reymond, Andrei Kouranov, Craig Pohl, Michael M. Hoffman, Jun Yu, Vincent Magrini, Jacqueline M. Bye, Huanming Yang, Abel Ureta-Vidal, Ruth Taylor, Laura M. Daniels, Shan Yang, Stuart A. Wilson, and Jennifer Randall-Maher

Subjects
Multidisciplinary, biology, Evolutionary biology, biology.animal, Perspective (graphical), Vertebrate, Erratum, Genome, Sequence (medicine)
Published
2005

12. Prediction of the coupling specificity of G protein coupled receptors to their G proteins

Author

Michael D. R. Croning, Steffen Möller, and Jaak Vilo

Subjects
Statistics and Probability, G protein, Receptors, Cell Surface, Ligands, Models, Biological, Biochemistry, Pattern Recognition, Automated, GTP-Binding Proteins, Protein A/G, Protein function prediction, 5-HT5A receptor, Amino Acid Sequence, Databases, Protein, Molecular Biology, G protein-coupled receptor, G protein-coupled receptor kinase, Binding Sites, biology, Chemistry, GRB10, Computational Biology, Computer Science Applications, Computational Mathematics, Computational Theory and Mathematics, biology.protein, Protein G, Signal Transduction
Abstract

G protein coupled receptors (GPCRs) are found in great numbers in most eukaryotic genomes. They are responsible for sensing a staggering variety of structurally diverse ligands, with their activation resulting in the initiation of a variety of cellular signalling cascades. The physiological response that is observed following receptor activation is governed by the guanine nucleotide-binding proteins (G proteins) to which a particular receptor chooses to couple. Previous investigations have demonstrated that the specificity of the receptor-G protein interaction is governed by the intracellular domains of the receptor. Despite many studies it has proven very difficult to predict de novo , from the receptor sequence alone, the G proteins to which a GPCR is most likely to couple. We have used a data-mining approach, combining pattern discovery with membrane topology prediction, to find patterns of amino acid residues in the intracellular domains of GPCR sequences that are specific for coupling to a particular functional class of G proteins. A prediction system was then built, being based upon these discovered patterns. We can report this approach was successful in the prediction of G protein coupling specificity of unknown sequences. Such predictions should be of great use in providing in silico characterisation of newly cloned receptor sequences and for improving the annotation of GPCRs stored in protein sequence databases. Available at: http://www.ebi.ac.uk/~croning/coupling.html Contact: croning@ebi.ac.uk

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