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

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  • © 2013

Overview

  • Discusses using genome sequencing to predict possible interactions among proteins?? ??
  • Describes effects of reference genome selection on prediction accuracy?
  • Explains how protein-protein interaction networks can be analyzed to understand cellular systems in detail

Part of the book series: SpringerBriefs in Systems Biology (BRIEFSBIOSYS, volume 2)

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Table of contents (6 chapters)

Keywords

About this book

​​ ​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.

Authors and Affiliations

  • Indian Institute of Science Education an, Center of Excellence in Epigenetics, Pashan, India

    Vijaykumar Yogesh Muley

  • CSIR-Inst of Himalayan Bioresource Techn, Biotechnology Division, Palampur, India

    Vishal Acharya

Bibliographic Information

  • Book Title: Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria

  • Authors: Vijaykumar Yogesh Muley, Vishal Acharya

  • Series Title: SpringerBriefs in Systems Biology

  • DOI: https://doi.org/10.1007/978-1-4614-4705-4

  • Publisher: Springer New York, NY

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Vijaykumar Yogesh Muley 2013

  • Softcover ISBN: 978-1-4614-4704-7Published: 28 July 2012

  • eBook ISBN: 978-1-4614-4705-4Published: 28 July 2012

  • Series ISSN: 2193-4746

  • Series E-ISSN: 2193-4754

  • Edition Number: 1

  • Number of Pages: X, 60

  • Number of Illustrations: 7 b/w illustrations, 12 illustrations in colour

  • Topics: Systems Biology, Bioinformatics, Human Genetics, Proteomics

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