Literature DB >> 15975228

Biomolecular interaction network database.

Don Gilbert1.   

Abstract

This software review looks at the utility of the Biomolecular Interaction Network Database (BIND) as a web database. BIND offers methods common to related biology databases and specialisations for its protein interaction data. Searching and browsing this database is easy and well integrated with the underlying data and the needs of scientists. Interaction networks are visualised with software that offers many useful options. The innovative ontoglyphs are used throughout to provide visual cues to protein functions, localisation and other aspects one needs to know for this data set. One can expect to get useful results that may be well integrated with one's research needs.

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Year:  2005        PMID： 15975228     DOI： 10.1093/bib/6.2.194

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN： 1467-5463            Impact factor:   11.622


  26 in total

Review 1.  Cataloguing the HIV type 1 human protein interaction network.

Authors:  Roger G Ptak; William Fu; Brigitte E Sanders-Beer; Jonathan E Dickerson; John W Pinney; David L Robertson; Mikhail N Rozanov; Kenneth S Katz; Donna R Maglott; Kim D Pruitt; Carl W Dieffenbach
Journal:  AIDS Res Hum Retroviruses       Date:  2008-12       Impact factor: 2.205

2.  Genes regulated by caloric restriction have unique roles within transcriptional networks.

Authors:  William R Swindell
Journal:  Mech Ageing Dev       Date:  2008-06-27       Impact factor: 5.432

3.  The role of indirect connections in gene networks in predicting function.

Authors:  Jesse Gillis; Paul Pavlidis
Journal:  Bioinformatics       Date:  2011-05-06       Impact factor: 6.937

4.  Prediction of Novel Drugs and Diseases for Hepatocellular Carcinoma Based on Multi-Source Simulated Annealing Based Random Walk.

Authors:  S Jafar Ali Ibrahim; M Thangamani
Journal:  J Med Syst       Date:  2018-09-01       Impact factor: 4.460

5.  Abnormal expression of FLI1 protein is an adverse prognostic factor in acute myeloid leukemia.

Authors:  Steven M Kornblau; Yi Hua Qiu; Nianxiang Zhang; Neera Singh; Stefan Faderl; Alessandra Ferrajoli; Heather York; Amina A Qutub; Kevin R Coombes; Dennis K Watson
Journal:  Blood       Date:  2011-09-13       Impact factor: 22.113

6.  Supervised learning and prediction of physical interactions between human and HIV proteins.

Authors:  Matthew D Dyer; T M Murali; Bruno W Sobral
Journal:  Infect Genet Evol       Date:  2011-03-05       Impact factor: 3.342

7.  Systematic Evaluation of Molecular Networks for Discovery of Disease Genes.

Authors:  Justin K Huang; Daniel E Carlin; Michael Ku Yu; Wei Zhang; Jason F Kreisberg; Pablo Tamayo; Trey Ideker
Journal:  Cell Syst       Date:  2018-03-28       Impact factor: 10.304

8.  The human-bacterial pathogen protein interaction networks of Bacillus anthracis, Francisella tularensis, and Yersinia pestis.

Authors:  Matthew D Dyer; Chris Neff; Max Dufford; Corban G Rivera; Donna Shattuck; Josep Bassaganya-Riera; T M Murali; Bruno W Sobral
Journal:  PLoS One       Date:  2010-08-09       Impact factor: 3.240

9.  Functional features of gene expression profiles differentiating gastrointestinal stromal tumours according to KIT mutations and expression.

Authors:  Jerzy Ostrowski; Marcin Polkowski; Agnieszka Paziewska; Magdalena Skrzypczak; Krzysztof Goryca; Tymon Rubel; Katarzyna Kokoszyñska; Piotr Rutkowski; Zbigniew I Nowecki; Anna Jerzak Vel Dobosz; Dorota Jarosz; Wlodzimierz Ruka; Lucjan S Wyrwicz
Journal:  BMC Cancer       Date:  2009-11-27       Impact factor: 4.430

10.  Identification of ovarian cancer associated genes using an integrated approach in a Boolean framework.

Authors:  Gaurav Kumar; Edmond J Breen; Shoba Ranganathan
Journal:  BMC Syst Biol       Date:  2013-02-06
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