From protein sequences to 3D-structures and beyond: the example of the UniProt knowledgebase.
Détails
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_C3142A773692
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
From protein sequences to 3D-structures and beyond: the example of the UniProt knowledgebase.
Périodique
Cellular and Molecular Life Sciences
Collaborateur⸱rice⸱s
UniProt Consortium
Contributeur⸱rice⸱s
Apweiler R., Martin MJ., O'Donovan C., Magrane M., Alam-Faruque Y., Antunes R., Barrell D., Bely B., Bingley M., Binns D., Bower L., Browne P., Chan WM., Dimmer E., Eberhardt R., Fedotov A., Foulger R., Garavelli J., Huntley R., Jacobsen J., Kleen M., Laiho K., Leinonen R., Legge D., Lin Q., Liu W., Luo J., Orchard S., Patient S., Poggioli D., Pruess M., Corbett M., di Martino G., Donnelly M., van Rensburg P., Bairoch A., Bougueleret L., Xenarios I., Altairac S., Auchincloss A., Argoud-Puy G., Axelsen K., Baratin D., Blatter MC., Boeckmann B., Bolleman J., Bollondi L., Boutet E., Quintaje SB., Breuza L., Bridge A., de Castro E., Ciapina L., Coral D., Coudert E., Cusin I., David F., Delbard G., Doche M., Dornevil D., Roggli PD., Duvaud S., Estreicher A., Famiglietti L., Feuermann M., Gehant S., Farriol-Mathis N., Ferro S., Gasteiger E., Gateau A., Gerritsen V., Gos A., Gruaz-Gumowski N., Hinz U., Hulo C., Hulo N., James J., Jimenez S., Jungo F., Kappler T., Keller G., Lachaize C., Lane-Guermonprez L., Langendijk-Genevaux P., Lara V., Lemercier P., Lieberherr D., Lima Tde O., Mangold V., Martin X., Masson P., Moinat M., Morgat A., Mottaz A., Paesano S., Pedruzzi I., Pilbout S., Pillet V., Poux S., Pozzato M., Redaschi N., Rivoire C., Roechert B., Schneider M., Sigrist C., Sonesson K., Staehli S., Stanley E., Stutz A., Sundaram S., Tognolli M., Verbregue L., Veuthey AL., Yip L., Zuletta L., Wu C., Arighi C., Arminski L., Barker W., Chen C., Chen Y., Hu ZZ., Huang H., Mazumder R., McGarvey P., Natale DA., Nchoutmboube J., Petrova N., Subramanian N., Suzek BE., Ugochukwu U., Vasudevan S., Vinayaka CR., Yeh LS., Zhang J.
ISSN
1420-9071 (Electronic)
ISSN-L
1420-682X
Statut éditorial
Publié
Date de publication
2010
Volume
67
Numéro
7
Pages
1049-1064
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Review
Publication Status: ppublish
Publication Status: ppublish
Résumé
With the dramatic increase in the volume of experimental results in every domain of life sciences, assembling pertinent data and combining information from different fields has become a challenge. Information is dispersed over numerous specialized databases and is presented in many different formats. Rapid access to experiment-based information about well-characterized proteins helps predict the function of uncharacterized proteins identified by large-scale sequencing. In this context, universal knowledgebases play essential roles in providing access to data from complementary types of experiments and serving as hubs with cross-references to many specialized databases. This review outlines how the value of experimental data is optimized by combining high-quality protein sequences with complementary experimental results, including information derived from protein 3D-structures, using as an example the UniProt knowledgebase (UniProtKB) and the tools and links provided on its website ( http://www.uniprot.org/ ). It also evokes precautions that are necessary for successful predictions and extrapolations.
Mots-clé
Binding Sites, Catalytic Domain, Databases, Protein, Knowledge Bases, Protein Conformation, Proteins/chemistry, Proteins/genetics, Sequence Analysis, Protein
Pubmed
Web of science
Open Access
Oui
Création de la notice
11/03/2011 13:20
Dernière modification de la notice
20/08/2019 16:38
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