Literature DB >> 11125133

Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems.

F Horn1, G Vriend, F E Cohen.   

Abstract

The amount of genomic and proteomic data that is entered each day into databases and the experimental literature is outstripping the ability of experimental scientists to keep pace. While generic databases derived from automated curation efforts are useful, most biological scientists tend to focus on a class or family of molecules and their biological impact. Consequently, there is a need for molecular class-specific or other specialized databases. Such databases collect and organize data around a single topic or class of molecules. If curated well, such systems are extremely useful as they allow experimental scientists to obtain a large portion of the available data most relevant to their needs from a single source. We are involved in the development of two such databases with substantial pharmacological relevance. These are the GPCRDB and NucleaRDB information systems, which collect and disseminate data related to G protein-coupled receptors and intra-nuclear hormone receptors, respectively. The GPCRDB was a pilot project aimed at building a generic molecular class-specific database capable of dealing with highly heterogeneous data. A first version of the GPCRDB project has been completed and it is routinely used by thousands of scientists. The NucleaRDB was started recently as an application of the concept for the generalization of this technology. The GPCRDB is available via the WWW at http://www.gpcr.org/7tm/ and the NucleaRDB at http://www.receptors.org/NR/.

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Substances:

Year:  2001        PMID: 11125133      PMCID: PMC29816          DOI: 10.1093/nar/29.1.346

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  22 in total

1.  Visualisation and integration of G protein-coupled receptor related information help the modelling: description and applications of the Viseur program.

Authors:  F Campagne; R Jestin; J L Reversat; J M Bernassau; B Maigret
Journal:  J Comput Aided Mol Des       Date:  1999-11       Impact factor: 3.686

2.  The EMBL nucleotide sequence database.

Authors:  W Baker; A van den Broek; E Camon; P Hingamp; P Sterk; G Stoesser; M A Tuli
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 4.  TinyGRAP database: a bioinformatics tool to mine G-protein-coupled receptor mutant data.

Authors:  M W Beukers; I Kristiansen; A P IJzerman; I Edvardsen
Journal:  Trends Pharmacol Sci       Date:  1999-12       Impact factor: 14.819

5.  A unified nomenclature system for the nuclear receptor superfamily.

Authors: 
Journal:  Cell       Date:  1999-04-16       Impact factor: 41.582

6.  Crystal structure of rhodopsin: A G protein-coupled receptor.

Authors:  K Palczewski; T Kumasaka; T Hori; C A Behnke; H Motoshima; B A Fox; I Le Trong; D C Teller; T Okada; R E Stenkamp; M Yamamoto; M Miyano
Journal:  Science       Date:  2000-08-04       Impact factor: 47.728

7.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

8.  The Nuclear Receptor Resource: a growing family.

Authors:  E Martinez; D D Moore; E Keller; D Pearce; J P Vanden Heuvel; V Robinson; B Gottlieb; P MacDonald; S Simons; E Sanchez; M Danielsen
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

9.  GPCRDB: an information system for G protein-coupled receptors.

Authors:  F Horn; J Weare; M W Beukers; S Hörsch; A Bairoch; W Chen; O Edvardsen; F Campagne; G Vriend
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

10.  PDBsum: a Web-based database of summaries and analyses of all PDB structures.

Authors:  R A Laskowski; E G Hutchinson; A D Michie; A C Wallace; M L Jones; J M Thornton
Journal:  Trends Biochem Sci       Date:  1997-12       Impact factor: 13.807

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  43 in total

1.  NUREBASE: database of nuclear hormone receptors.

Authors:  Jorge Duarte; Guy Perrière; Vincent Laudet; Marc Robinson-Rechavi
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Improved detection of homologous membrane proteins by inclusion of information from topology predictions.

Authors:  Maria Hedman; Hans Deloof; Gunnar Von Heijne; Arne Elofsson
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

3.  Prediction of the odorant binding site of olfactory receptor proteins by human-mouse comparisons.

Authors:  Orna Man; Yoav Gilad; Doron Lancet
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

4.  GPCRDB information system for G protein-coupled receptors.

Authors:  Florence Horn; Emmanuel Bettler; Laerte Oliveira; Fabien Campagne; Fred E Cohen; Gerrit Vriend
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  NRMD: Nuclear Receptor Mutation Database.

Authors:  Joost J J Van Durme; Emmanuel Bettler; Simon Folkertsma; Florence Horn; Gert Vriend
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

6.  SVM-Prot: Web-based support vector machine software for functional classification of a protein from its primary sequence.

Authors:  C Z Cai; L Y Han; Z L Ji; X Chen; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

7.  NRSAS: Nuclear Receptor Structure Analysis Servers.

Authors:  Emmanuel Bettler; Roland Krause; Florence Horn; Gert Vriend
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

8.  GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors.

Authors:  Manoj Bhasin; G P S Raghava
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

9.  Peroxisome proliferator-activated receptors target family landscape: a chemometrical approach to ligand selectivity based on protein binding site analysis.

Authors:  Bernard Pirard
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

10.  Molecular mechanisms of disease for mutations at Gly-90 in rhodopsin.

Authors:  Darwin Toledo; Eva Ramon; Mònica Aguilà; Arnau Cordomí; Juan J Pérez; Hugo F Mendes; Michael E Cheetham; Pere Garriga
Journal:  J Biol Chem       Date:  2011-09-22       Impact factor: 5.157

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