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2004

Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data

11 years 1 months ago
Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data
Protein dispensability is fundamental to understanding of gene function and evolution. It is usually studied at the individual gene phenotype level. Recent advances in generating high-throughput data such as genomic sequence data, protein-protein interaction data, gene-expression data, and growth-rate data of mutants allow us to investigate protein dispensability systematically at the genome scale. In our studies, protein dispensability was represented as a fitness score that was measured by the growth rate of gene-deletion mutants. Through analyses of high-throughput data in yeast Saccharomyces cerevisia, we found that a protein's dispensability had significant correlations with its evolutionary rate and duplication rate, as well as its connectivity in protein-protein interaction network and gene-expression correlation network. Correspondence analysis also showed such significant dependencies, which imply that the integration of high-throughput data can provide substantial infor...
Yu Chen, Dong Xu
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where SNPD
Authors Yu Chen, Dong Xu
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