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

2013
ISBN: 978-1-4614-4704-7
Verlag: Springer

Buch, Englisch, Band 2, 60 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 125 g

Reihe: SpringerBriefs in Systems Biology

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.

Zielgruppe

Research

Autoren/Hrsg.

Acharya, Vishal

Muley, Vijaykumar Yogesh

Fachgebiete

• Naturwissenschaften Biowissenschaften Proteinforschung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Naturwissenschaften Biowissenschaften Bakteriologie

Inhaltsverzeichnis

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.