Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Sandra Orchard"'
Autor:
Pablo Porras, Elisabet Barrera, Alan Bridge, Noemi del-Toro, Gianni Cesareni, Margaret Duesbury, Henning Hermjakob, Marta Iannuccelli, Igor Jurisica, Max Kotlyar, Luana Licata, Ruth C. Lovering, David J. Lynn, Birgit Meldal, Bindu Nanduri, Kalpana Paneerselvam, Simona Panni, Chiara Pastrello, Matteo Pellegrini, Livia Perfetto, Negin Rahimzadeh, Prashansa Ratan, Sylvie Ricard-Blum, Lukasz Salwinski, Gautam Shirodkar, Anjalia Shrivastava, Sandra Orchard
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
The IMEx consortium provides one of the largest resources of curated, experimentally verified molecular interaction data. Here, the authors review how IMEx evolved into a fundamental resource for life scientists and describe how IMEx data can support
Externí odkaz:
https://doaj.org/article/1dcc4fce40a042d9b98ea3d25e21c5d2
Autor:
Matthew Thakur, Alex Bateman, Cath Brooksbank, Mallory Freeberg, Melissa Harrison, Matthew Hartley, Thomas Keane, Gerard Kleywegt, Andrew Leach, Mariia Levchenko, Sarah Morgan, Ellen M McDonagh, Sandra Orchard, Irene Papatheodorou, Sameer Velankar, Juan Antonio Vizcaino, Rick Witham, Barbara Zdrazil, Johanna McEntyre
Publikováno v:
Nucleic Acids Research. 51:D9-D17
The European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the Wellcome Genome Campus in Hinxton, UK, EMBL-EBI is one of six sites of the Europe
Autor:
Fábio Madeira, Paul Denny, Yvonne Lussi, Antonia Lock, Dushyanth Jyothi, Pedro Raposo, Daniel Rice, Prabhat Totoo, Aurélien Luciani, Rafael Santos, Tunca Dogan, Sandra Orchard, Alex Bateman, Swaathi Kandasaamy, Leonardo Jose Da Costa Gonzales, Jie Luo, Jun Fan, Giuseppe Insana, Emily Bowler-Barnett
Publikováno v:
Nucleic Acids Research. 51:D523-D531
The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this publication we describe enhancements made to our data processing
Autor:
Gilbert S. Omenn, Lydie Lane, Christopher M. Overall, Charles Pineau, Nicolle H. Packer, Ileana M. Cristea, Cecilia Lindskog, Susan T. Weintraub, Sandra Orchard, Michael H. A. Roehrl, Edouard Nice, Siqi Liu, Nuno Bandeira, Yu-Ju Chen, Tiannan Guo, Ruedi Aebersold, Robert L. Moritz, Eric W. Deutsch
Publikováno v:
J Proteome Res
Journal of Proteome Research
Journal of Proteome Research, 2023, 22 (4), pp.1024-1042. ⟨10.1021/acs.jproteome.2c00498⟩
Journal of Proteome Research
Journal of Proteome Research, 2023, 22 (4), pp.1024-1042. ⟨10.1021/acs.jproteome.2c00498⟩
International audience; The 2022 Metrics of the Human Proteome from the HUPO Human Proteome Project (HPP) illustrates that protein expression has now been credibly detected (neXtProt PE1 level) for 18,407 (93.2%) of the 19,750 predicted proteins code
Autor:
Norman E. Davey, M. Madan Babu, Martin Blackledge, Alan Bridge, Salvador Capella-Gutierrez, Zsuzsanna Dosztanyi, Rachel Drysdale, Richard J. Edwards, Arne Elofsson, Isabella C. Felli, Toby J. Gibson, Aleksandras Gutmanas, John M. Hancock, Jen Harrow, Desmond Higgins, Cy M. Jeffries, Philippe Le Mercier, Balint Mészáros, Marco Necci, Cedric Notredame, Sandra Orchard, Christos A. Ouzounis, Rita Pancsa, Elena Papaleo, Roberta Pierattelli, Damiano Piovesan, Vasilis J. Promponas, Patrick Ruch, Gabriella Rustici, Pedro Romero, Sirarat Sarntivijai, Gary Saunders, Benjamin Schuler, Malvika Sharan, Denis C. Shields, Joel L. Sussman, Jonathan A. Tedds, Peter Tompa, Michael Turewicz, Jiri Vondrasek, Wim F. Vranken, Bonnie Ann Wallace, Kanin Wichapong, Silvio C. E. Tosatto
Publikováno v:
F1000Research, Vol 8 (2019)
Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) are now recognised as major determinants in cellular regulation. This white paper presents a roadmap for future e-infrastructure developments in the field of IDP res
Externí odkaz:
https://doaj.org/article/394ab68cdf814790908372f98b29dde4
Autor:
Inigo Barrio-Hernandez, Jeremy Schwartzentruber, Anjali Shrivastava, Noemi del-Toro, Asier Gonzalez, Qian Zhang, Edward Mountjoy, Daniel Suveges, David Ochoa, Maya Ghoussaini, Glyn Bradley, Henning Hermjakob, Sandra Orchard, Ian Dunham, Carl A. Anderson, Pablo Porras, Pedro Beltrao
Publikováno v:
Nature Genetics, 55 (3)
Interacting proteins tend to have similar functions, influencing the same organismal traits. Interaction networks can be used to expand the list of candidate trait-associated genes from genome-wide association studies. Here, we performed network-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa83c627d04041e4fc3c3bbe9f7b3a34
Autor:
Fábio Madeira, Elena Speretta, Antonia Lock, Teresa Batista Neto, Christian J. A. SIGRIST, Rafael Santos, Sandra Orchard, Alex Bateman, Sébastien Géhant, Alan Bridge, Edouard De Castro, Elisabeth Coudert, Emily Bowler-Barnett
Publikováno v:
Bioinformatics. 39
Motivation To provide high quality, computationally tractable annotation of binding sites for biologically relevant (cognate) ligands in UniProtKB using the chemical ontology ChEBI (Chemical Entities of Biological Interest), to better support efforts
Autor:
Philippa C. Griffin, Jyoti Khadake, Kate S. LeMay, Suzanna E. Lewis, Sandra Orchard, Andrew Pask, Bernard Pope, Ute Roessner, Keith Russell, Torsten Seemann, Andrew Treloar, Sonika Tyagi, Jeffrey H. Christiansen, Saravanan Dayalan, Simon Gladman, Sandra B. Hangartner, Helen L. Hayden, William W.H. Ho, Gabriel Keeble-Gagnère, Pasi K. Korhonen, Peter Neish, Priscilla R. Prestes, Mark F. Richardson, Nathan S. Watson-Haigh, Kelly L. Wyres, Neil D. Young, Maria Victoria Schneider
Publikováno v:
F1000Research, Vol 6 (2018)
Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneo
Externí odkaz:
https://doaj.org/article/efb677e3e24f4f6cbe1d881537659fb1
Autor:
Marta Iannuccelli, Juri Rappsilber, Matteo Pellegrini, Gautam Shirodkar, Colin W. Combe, Pablo Porras, Maria Jesus Martin, Eliot Ragueneau, Anjali Shrivastava, Livia Perfetto, Margaret Duesbury, Sangya Pundir, Xavier Watkins, Lukasz Salwinski, Sandra Orchard, Sylvain D. Vallet, Bálint Mészáros, Luana Licata, Simona Panni, Karyn How, Prashansa Ratan, Gianni Cesareni, Kalpana Panneerselvam, Odilia Lu, Henning Hermjakob, Sylvie Ricard-Blum, Elisabet Barrera, Noemi del Toro, Birgit H M Meldal
Publikováno v:
del Toro, N, Shrivastava, A, Ragueneau, E, Meldal, B, Combe, C, Barrera, E, Perfetto, L, How, K, Ratan, P, Shirodkar, G, Lu, O, Mészáros, B, Watkins, X, Pundir, S, Licata, L, Iannuccelli, M, Pellegrini, M, Martin, M J, Panni, S, Duesbury, M, Vallet, S D, Rappsilber, J, Ricard-Blum, S, Cesareni, G, Salwinski, L, Orchard, S, Porras, P, Panneerselvam, K & Hermjakob, H 2021, ' The IntAct database : Efficient access to fine-grained molecular interaction data ', Nucleic Acids Research, vol. 50, no. D1, pp. D648-D653 . https://doi.org/10.1093/nar/gkab1006
Nucleic Acids Research
Nucleic Acids Research, vol 50, iss D1
Nucleic Acids Research
Nucleic Acids Research, vol 50, iss D1
The IntAct molecular interaction database (https://www.ebi.ac.uk/intact) is a curated resource of molecular interactions, derived from the scientific literature and from direct data depositions. As of August 2021, IntAct provides more than one millio
Autor:
Bálint Mészáros, András Hatos, Nicolas Palopoli, Federica Quaglia, Edoardo Salladini, Kim Van Roey, Haribabu Arthanari, Zsuzsanna Dosztányi, Isabella C. Felli, Patrick D Fischer, Jeffrey C. Hoch, Cy M Jeffries, Sonia Longhi, Emiliano Maiani, Sandra Orchard, Rita Pancsa, Elena Papaleo, Roberta Pierattelli, Damiano Piovesan, Iva Pritisanac, Thibault Viennet, Peter Tompa, Wim Vranken, Silvio CE Tosatto, Norman E Davey
An unambiguous description of an experimental setup and analysis, and the subsequent biological observation is vital for accurate data interpretation and reproducible results. Consequently, experimental analyses should be described in a concise, uneq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f49f4a10a13805abedf2e351f974a8
https://doi.org/10.1101/2022.07.12.495092
https://doi.org/10.1101/2022.07.12.495092