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5 results on '"Parit, Bansal"'

1. Rhea, the reaction knowledgebase in 2022

Author

Alan Bridge, Parit Bansal, Nevila Hyka-Nouspikel, Teresa Batista Neto, Arnaud Kerhornou, Venkatesh Muthukrishnan, Lucila Aimo, Marie-Claude Blatter, Elisabeth Coudert, Nicole Redaschi, Anne Morgat, Kristian B. Axelsen, Monica Pozzato, Alex Ignatchenko, and Elisabeth Gasteiger

Subjects
Internet, Chemical Phenomena, Databases, Factual, AcademicSubjects/SCI00010, Knowledge Bases, Ontology (information science), Biology, World Wide Web, Annotation, UniProt Knowledgebase, Genetics, Biochemical reactions, Animals, Humans, Database Issue, UniProt, Software
Abstract

Rhea (https://www.rhea-db.org) is an expert-curated knowledgebase of biochemical reactions based on the chemical ontology ChEBI (Chemical Entities of Biological Interest) (https://www.ebi.ac.uk/chebi). In this paper, we describe a number of key developments in Rhea since our last report in the database issue of Nucleic Acids Research in 2019. These include improved reaction coverage in Rhea, the adoption of Rhea as the reference vocabulary for enzyme annotation in the UniProt knowledgebase UniProtKB (https://www.uniprot.org), the development of a new Rhea website, and the designation of Rhea as an ELIXIR Core Data Resource. We hope that these and other developments will enhance the utility of Rhea as a reference resource to study and engineer enzymes and the metabolic systems in which they function.

Published
2021

2. UniProt: a worldwide hub of protein knowledge

Author

Fábio Madeira, Alexandr Ignatchenko, George Georghiou, Martin Dichgans, Dushyanth Jyothi, Parit Bansal, Alexandre Renaux, Ivo Pedruzzi, Arnaud Kerhornou, Maurizio De Giorgi, Emanuele Alpi, Manuela Menchi, Rossana Zaru, Edward Turner, Sandra Orchard, Alex Bateman, Peter McGarvey, Emma Hatton-Ellis, Michele Magrane, Alan Bridge, Jie Luo, Benoit Bely, Leyla Jael Castro, Shriya Raj, Rodrigo López, Maria-Jesus Martin, and Gianluca Busiello

Subjects
0301 basic medicine, Proteome, 030102 biochemistry & molecular biology, Knowledge Bases, Molecular Sequence Annotation, Computational biology, Biology, 03 medical and health sciences, ComputingMethodologies_PATTERNRECOGNITION, 030104 developmental biology, Sequence Analysis, Protein, Genetics, Database Issue, UniProt, Databases, Protein, Data Curation
Abstract

The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these proteins. These annotations are supplemented by annotations provided by rule based automated systems, and those imported from other resources. In this article we describe significant updates that we have made over the last 2 years to the resource. We have greatly expanded the number of Reference Proteomes that we provide and in particular we have focussed on improving the number of viral Reference Proteomes. The UniProt website has been augmented with new data visualizations for the subcellular localization of proteins as well as their structure and interactions. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.

Published
2018
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3. UniProt: the universal protein knowledgebase in 2021

Author

Fábio Madeira, Emmanuel Boutet, Ursula Hinz, Teresa Batista Neto, Parit Bansal, Manuela Pruess, Kristian B. Axelsen, Arnaud Kerhornou, Cecilia N. Arighi, Lai-Su L. Yeh, Shadab Ahmad, John S. Garavelli, Cathy H. Wu, Florence Jungo, Alan Bridge, Leonardo Gonzales, Sandra Orchard, Patrick Masson, Douglas Teodoro, Maria Jesus Martin, Anne Estreicher, Kamal Chikh Echioukh, Hongzhan Huang, Patrick Ruch, Christian J. A. Sigrist, C. R. Vinayaka, Yvonne Lussi, Anne Morgat, Yongxing Chen, Austra Cukura, Emanuele Alpi, Ramona Britto, Alexandr Ignatchenko, Sylvain Poux, Rizwan Ishtiaq, Lionel Breuza, Jun Fan, Edouard de Castro, Petteri Jokinen, Nicole Redaschi, Darren A. Natale, Daniel Rice, Giuseppe Insana, George Georghiou, Nevila Hyka-Nouspikel, Karen E. Ross, Katie Moulang, Vicente Lara, Arnaud Gos, Michael Tognolli, Alok Mishra, Ivo Pedruzzi, Nidhi Tyagi, Leyla Jael Garcia Castro, Edward Turner, Cristina Casals-Casas, Tunca Doğan, Nadine Gruaz-Gumowski, Chantal Hulo, Maria Livia Famiglietti, Andrew Nightingale, Paul Denny, Lucila Aimo, Rossana Zaru, Vishal Joshi, Alistair MacDougall, Andre Stutz, Penelope Garmiri, Carla Susana Oliveira, Hermann Zellner, Marie-Claude Blatter, Emily H Bowler-Barnett, Philippe Le Mercier, Abdulrahman Hussein, Catherine Rivoire, Tony Sawford, Milagros Rodriguez Lopez, Salvo Paesano, Vladimir Volynkin, Manuela Menchi, Hema Bye-A-Jee, Monica Pozzato, Kati Laiho, Delphine Baratin, Qinghua Wang, Leslie Arminski, Preethi Vasudev, Sangya Pundir, Jian Zhang, Emma Hatton-Ellis, Kate Warner, Lucille Pourcel, Elisabeth Gasteiger, Marc Feuermann, Thierry Lombardot, Jerven Bolleman, Mahdi Mahmoudy, Shyamala Sundaram, Alex Bateman, Xavier Watkins, Rahat Agivetova, Guoying Qi, Peter B. McGarvey, Xavier D. Martin, Chuming Chen, Jie Luo, Ray Coetzee, K Sonesson, Alan Wilter Sousa da Silva, ThankGod Ebenezer, Elena Speretta, Rodrigo Lopez, Elisabeth Coudert, Aurelien Luciani, Vivienne Baillie Gerritsen, Yuqi Wang, M Doche, Michele Magrane, Antonia Lock, Dolnide Dornevil, Sandrine Pilbout, Borisas Bursteinas, Andrea H. Auchincloss, Béatrice A. Cuche, Dushyanth Jyothi, Rabie Saidi, Joseph Sampson, Laure Verbregue, Sebastien Gehant, Guillaume Keller, Shriya Raj, Damien Lieberherr, Ghislaine Argoud-Puy, and Teodoro, Douglas

Subjects
Proteomics, COVID-19 / virology, Computational Biology / methods, Molecular Sequence Annotation / methods, Proteome, AcademicSubjects/SCI00010, Knowledge Bases, Computational biology, Proteomics / methods, Biology, ddc:616.0757, SARS-CoV-2 / physiology, COVID-19 / epidemiology, User-Computer Interface, Viral Proteins, 03 medical and health sciences, 0302 clinical medicine, SARS-CoV-2 / genetics, Data Curation / methods, Genetics, Redundancy (engineering), Viral Proteins / genetics, Humans, Database Issue, SARS-CoV-2 / metabolism, Databases, Protein, Pandemics, Data Curation, Proteome / metabolism, 030304 developmental biology, Proteome / genetics, Internet, 0303 health sciences, SARS-CoV-2, COVID-19 / prevention & control, COVID-19, Computational Biology, Molecular Sequence Annotation, Viral Proteins / metabolism, UniProt Knowledgebase, UniProt, 030217 neurology & neurosurgery
Abstract

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 article, we describe significant updates that we have made over the last two years to the resource. The number of sequences in UniProtKB has risen to approximately 190 million, despite continued work to reduce sequence redundancy at the proteome level. We have adopted new methods of assessing proteome completeness and quality. We continue to extract detailed annotations from the literature to add to reviewed entries and supplement these in unreviewed entries with annotations provided by automated systems such as the newly implemented Association-Rule-Based Annotator (ARBA). We have developed a credit-based publication submission interface to allow the community to contribute publications and annotations to UniProt entries. We describe how UniProtKB responded to the COVID-19 pandemic through expert curation of relevant entries that were rapidly made available to the research community through a dedicated portal. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.

Published
2020

4. Activities at the Universal Protein Resource (UniProt)

Author

Borisas Bursteinas, L-S Yeh, Klemens Pichler, Guillaume Keller, C Casal-Casas, Gerritsen, A Da Silva, Prudence Mutowo, Xavier D. Martin, Peter B. McGarvey, Volynkin, J Lew, K Sonesson, M. C. Blatter, L Pureza, Rodrigo Lopez, Anne Estreicher, Alex Bateman, Ramona Britto, A-L Veuthey, Penelope Garmiri, Patrick Masson, Baris E. Suzek, Cathy H. Wu, Paul Gane, Maria Jesus Martin, Shyamala Sundaram, Yasmin Alam-Faruque, Ioannis Xenarios, Alan Bridge, WM Chan, Guoying Qi, L Famiglietti, Christian J. A. Sigrist, Nadine Gruaz-Gumowski, Chantal Hulo, Hermann Zellner, Matthew Corbett, Monica Pozzato, Thierry Lombardot, S Staehli, Jerven Bolleman, Sylvain Poux, Séverine Duvaud, Tony Sawford, Chuming Chen, Xavier Watkins, Yuqi Wang, Elisabeth Gasteiger, Kati Laiho, Qinghua Wang, M Bingley, Lydie Bougueleret, Kristian B. Axelsen, Yongxing Chen, Salvo Paesano, Andrew Nightingale, Nicole Redaschi, Emma Hatton-Ellis, John S. Garavelli, Delphine Baratin, Darren A. Natale, Gayatri Chavali, E de Castro, Leslie Arminski, Damien Lieberherr, Elena Cibrian-Uhalte, Catherine Rivoire, Bernd Roechert, Yerramalla, Hongzhan Huang, Alistair MacDougall, Edd Turner, Maria Victoria Schneider, Aleksandra Shypitsyna, Jie Zhang, Michele Magrane, Dolnide Dornevil, Lara, M Donnelly, F. Fazzini, Andrea H. Auchincloss, Emanuele Alpi, Benoit Bely, Brigitte Boeckmann, Rolf Apweiler, Rachael P. Huntley, Lionel Breuza, Sangya Pundir, Lorenzo Cerutti, Tunca Doğan, EB Casanova, P van Rensburg, Rabie Saidi, Jie Luo, Mickael Goujon, Laure Verbregue, Tony Wardell, W Liu, Andre Stutz, P Lemercier, Hamish McWilliam, Ivo Pedruzzi, P-A Binz, Sebastien Gehant, Béatrice A. Cuche, Carlos Bonilla, Duncan Legge, C. R. Vinayaka, Anne Morgat, Diego Poggioli, J Arganiska, Teresa Batista Neto, Emmanuel Boutet, Florence Jungo, Ursula Hinz, Parit Bansal, Sandra Orchard, Ricardo Antunes, Manuela Pruess, M Feuermann, S. Rosanoff, Claire O'Donovan, Cecilia N. Arighi, J. James, M Doche, Elisabeth Coudert, M De Giorgi, Reija Hieta, Sandrine Pilbout, Arnaud Gos, Michael Tognolli, Leyla Jael Garcia Castro, and Lucila Aimo

Subjects
Proteomics, 0303 health sciences, Internet, Representation (systemics), Genome database, Proteins, Molecular Sequence Annotation, Computational biology, Genomics, Biology, Ontology (information science), Universal Protein Resource, II. Protein sequence and structure, motifs and domains, 03 medical and health sciences, Annotation, 0302 clinical medicine, Gene Ontology, Sequence Analysis, Protein, 030220 oncology & carcinogenesis, Genetics, UniProt, Databases, Protein, 030304 developmental biology
Abstract

The mission of the Universal Protein Resource (UniProt) (http://www.uniprot.org) is to provide the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequences and functional annotation. It integrates, interprets and standardizes data from literature and numerous resources to achieve the most comprehensive catalog possible of protein information. The central activities are the biocuration of the UniProt Knowledgebase and the dissemination of these data through our Web site and web services. UniProt is produced by the UniProt Consortium, which consists of groups from the European Bioinformatics Institute (EBI), the SIB Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is updated and distributed every 4 weeks and can be accessed online for searches or downloads.

Published
2013

5. UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View

Author

Ioannis Xenarios, Michel Schneider, Alan Bridge, Sylvain Poux, Parit Bansal, Damien Lieberherr, Lydie Bougueleret, Emmanuel Boutet, and Michael Tognolli

Subjects
0301 basic medicine, Web browser, Computational biology, Biology, Bioinformatics, Universal Protein Resource, 03 medical and health sciences, Annotation, Broad spectrum, 030104 developmental biology, Information resource, Plant protein, UniProt Knowledgebase, UniProt
Abstract

The Universal Protein Resource (UniProt, http://www.uniprot.org ) consortium is an initiative of the SIB Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) to provide the scientific community with a central resource for protein sequences and functional information. The UniProt consortium maintains the UniProt KnowledgeBase (UniProtKB), updated every 4 weeks, and several supplementary databases including the UniProt Reference Clusters (UniRef) and the UniProt Archive (UniParc).The Swiss-Prot section of the UniProt KnowledgeBase (UniProtKB/Swiss-Prot) contains publicly available expertly manually annotated protein sequences obtained from a broad spectrum of organisms. Plant protein entries are produced in the frame of the Plant Proteome Annotation Program (PPAP), with an emphasis on characterized proteins of Arabidopsis thaliana and Oryza sativa. High level annotations provided by UniProtKB/Swiss-Prot are widely used to predict annotation of newly available proteins through automatic pipelines.The purpose of this chapter is to present a guided tour of a UniProtKB/Swiss-Prot entry. We will also present some of the tools and databases that are linked to each entry.

Published
2016
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