Literature DB >> 11125102

DIP: The Database of Interacting Proteins: 2001 update.

I Xenarios1, E Fernandez, L Salwinski, X J Duan, M J Thompson, E M Marcotte, D Eisenberg.   

Abstract

The Database of Interacting Proteins (DIP; http://dip.doe-mbi.ucla. edu) is a database that documents experimentally determined protein-protein interactions. Since January 2000 the number of protein-protein interactions in DIP has nearly tripled to 3472 and the number of proteins to 2659. New interactive tools have been developed to aid in the visualization, navigation and study of networks of protein interactions.

Entities:  

Mesh：

Substances：

Year:  2001        PMID： 11125102      PMCID： PMC29798          DOI： 10.1093/nar/29.1.239

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


  7 in total

1.  DIP: the database of interacting proteins.

Authors:  I Xenarios; D W Rice; L Salwinski; M K Baron; E M Marcotte; D Eisenberg
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Mining literature for protein-protein interactions.

Authors:  E M Marcotte; I Xenarios; D Eisenberg
Journal:  Bioinformatics       Date:  2001-04       Impact factor: 6.937

Review 3.  Protein function in the post-genomic era.

Authors:  D Eisenberg; E M Marcotte; I Xenarios; T O Yeates
Journal:  Nature       Date:  2000-06-15       Impact factor: 49.962

4.  Analysis of gene expression data with pathway scores.

Authors:  A Zien; R Küffner; R Zimmer; T Lengauer
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  2000

5.  Toward a protein-protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins.

Authors:  T Ito; K Tashiro; S Muta; R Ozawa; T Chiba; M Nishizawa; K Yamamoto; S Kuhara; Y Sakaki
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-01       Impact factor: 11.205

6.  The yeast proteome database (YPD) and Caenorhabditis elegans proteome database (WormPD): comprehensive resources for the organization and comparison of model organism protein information.

Authors:  M C Costanzo; J D Hogan; M E Cusick; B P Davis; A M Fancher; P E Hodges; P Kondu; C Lengieza; J E Lew-Smith; C Lingner; K J Roberg-Perez; M Tillberg; J E Brooks; J I Garrels
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

7.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Authors:  P Uetz; L Giot; G Cagney; T A Mansfield; R S Judson; J R Knight; D Lockshon; V Narayan; M Srinivasan; P Pochart; A Qureshi-Emili; Y Li; B Godwin; D Conover; T Kalbfleisch; G Vijayadamodar; M Yang; M Johnston; S Fields; J M Rothberg
Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962
  7 in total
  53 in total

1.  Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs.

Authors:  John C Obenauer; Lewis C Cantley; Michael B Yaffe
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Inferring higher functional information for RIKEN mouse full-length cDNA clones with FACTS.

Authors:  Takeshi Nagashima; Diego G Silva; Nikolai Petrovsky; Luis A Socha; Harukazu Suzuki; Rintaro Saito; Takeya Kasukawa; Igor V Kurochkin; Akihiko Konagaya; Christian Schönbach
Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

3.  Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction.

Authors:  Esti Yeger-Lotem; Shmuel Sattath; Nadav Kashtan; Shalev Itzkovitz; Ron Milo; Ron Y Pinter; Uri Alon; Hanah Margalit
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-12       Impact factor: 11.205

Review 4.  Aberrant epigenetic grooming of miRNAs in pancreatic cancer: a systems biology perspective.

Authors:  Asfar S Azmi; Frances W J Beck; Bin Bao; Ramzi M Mohammad; Fazlul H Sarkar
Journal:  Epigenomics       Date:  2011-12       Impact factor: 4.778

Review 5.  Toward predictive models of mammalian cells.

Authors:  Avi Ma'ayan; Robert D Blitzer; Ravi Iyengar
Journal:  Annu Rev Biophys Biomol Struct       Date:  2005

Review 6.  The cognitive phenotype of Down syndrome: insights from intracellular network analysis.

Authors:  Avi Ma'ayan; Katheleen Gardiner; Ravi Iyengar
Journal:  NeuroRx       Date:  2006-07

7.  The evolutionary dynamics of the Saccharomyces cerevisiae protein interaction network after duplication.

Authors:  Aviva Presser; Michael B Elowitz; Manolis Kellis; Roy Kishony
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-16       Impact factor: 11.205

8.  DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.

Authors:  Ioannis Xenarios; Lukasz Salwínski; Xiaoqun Joyce Duan; Patrick Higney; Sul-Min Kim; David Eisenberg
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

9.  From gene networks to gene function.

Authors:  Thomas Schlitt; Kimmo Palin; Johan Rung; Sabine Dietmann; Michael Lappe; Esko Ukkonen; Alvis Brazma
Journal:  Genome Res       Date:  2003-12       Impact factor: 9.043

10.  Human cancer protein-protein interaction network: a structural perspective.

Authors:  Gozde Kar; Attila Gursoy; Ozlem Keskin
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.