Discovering Biomolecular Mechanisms with Computational Biology

  • Frank Eisenhaber

Part of the Molecular Biology Intelligence Unit book series (MBIU)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Prediction of Post-translational modifications from amino acid sequence: Problems, pitfalls, methodological hints

    1. Frank Eisenhaber
      Pages 1-10
  3. Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis

    1. Front Matter
      Pages 11-11
    2. Karin Schleinkofer, Thomas Dandekar
      Pages 30-38
    3. Frank Eisenhaber
      Pages 39-54
  4. Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles

    1. Front Matter
      Pages 55-55
    2. Hong Pan, Li Zuo, Rajaraman Kanagasabai, Zhuo Zhang, Vidhu Choudhary, Bijayalaxmi Mohanty et al.
      Pages 57-73
    3. Carolina Perez-Iratxeta, Peer Bork, Miguel A. Andrade
      Pages 74-81
  5. Mechanistic Predictions from the Analysis of Biomolecular Networks

    1. Front Matter
      Pages 83-83
    2. Stefan Schuster, Edda Klipp, Marko Marhl
      Pages 95-103
  6. Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: Considering Evolution for Function Prediction

    1. Front Matter
      Pages 105-105
    2. Edward N. Trifonov
      Pages 107-116
    3. Christian Schlötterer
      Pages 117-125
    4. Yuri I. Wolf, Liran Carmel, Eugene V. Koonin
      Pages 133-144
  7. Back Matter
    Pages 145-147

About this book

Introduction

In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation.

Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success.

Keywords

Amino acid DNA Nucleotide Translation enzymes methodology transcription

Authors and affiliations

  • Frank Eisenhaber
    • 1
  1. 1.Bioinformatics GroupInstitute of Molecular PathologyViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-36747-0
  • Copyright Information Landes Bioscience and Springer Science+Business Media, LLC 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-0-387-34527-7
  • Online ISBN 978-0-387-36747-7
  • About this book