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


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.


Amino acid DNA Nucleotide Translation enzymes methodology transcription

Authors and affiliations

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

Bibliographic information