Literature DB >> 19743423

Interaction networks: lessons from large-scale studies in yeast.

Gerard Cagney1.   

Abstract

Saccharomyces cerevisiae is the simplest eukaryotic model organism and has made countless contributions to cell biology. The ease with which it can be genetically manipulated has made it a favourite organism among technologists for developing methods for large-scale analysis based on reverse genetics. Consequently, more genomewide datasets describing aspects of gene and protein biology are available for yeast than for any other organism. This has led to the pioneering of many computational analysis techniques using yeast data. Here, we make a brief survey of yeast physical and genetic interaction networks, highlighting major experimental and computational achievements first described in this organism.

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Year:  2009        PMID: 19743423     DOI: 10.1002/pmic.200900177

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

Review 1.  Protein function prediction: towards integration of similarity metrics.

Authors:  Serkan Erdin; Andreas Martin Lisewski; Olivier Lichtarge
Journal:  Curr Opin Struct Biol       Date:  2011-02-24       Impact factor: 6.809

2.  Experimental and computational analysis of a large protein network that controls fat storage reveals the design principles of a signaling network.

Authors:  Bader Al-Anzi; Patrick Arpp; Sherif Gerges; Christopher Ormerod; Noah Olsman; Kai Zinn
Journal:  PLoS Comput Biol       Date:  2015-05-28       Impact factor: 4.475

Review 3.  The short-lived African turquoise killifish: an emerging experimental model for ageing.

Authors:  Yumi Kim; Hong Gil Nam; Dario Riccardo Valenzano
Journal:  Dis Model Mech       Date:  2016-02       Impact factor: 5.758

  3 in total

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