Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

Vishal Acharya

ISBN 10: 1461447046 / ISBN 13: 9781461447047

Editore: Springer New York, Springer US Jul 2012, 2012

Riguardo questo articolo

Neuware -¿¿ ¿Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus onprotein-protein interaction predictions in bacteria. The authors willdescribe these methods and further highlight its use to predict various biological pathways andcomplexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 72 pp. Englisch.

Codice articolo 9781461447047

Dati bibliografici

• Titolo: Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
• Editore: Springer New York, Springer US Jul 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461447046
• ISBN 13: 9781461447047
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.

Contenuti

​Introduction.- From genomes to protein functions.- Co-evolutionary signals within genome sequences reflect functional dependence of proteins.- Chromosomal proximity of genes as an indicator of functional linkage.- Analyses of complex genome-scale biological networks.- Applications of protein interaction networks.