Bioinformatics: From Nucleic Acids and Proteins to Cell Metabolism

Copyright © 1995 GBF (Gesellschaft für Biotechnologische Forschung mbH)

Bioinformatics: From Nucleic Acids and Proteins to Cell Metabolism

Editor(s): Dietmar Schomburg, Uta Lessel

Published Online: 21 DEC 2007

Print ISBN: 9783527300723

Online ISBN: 9783527615193

DOI: 10.1002/9783527615193

About this Book

Product Information

About The Product

Bioinformatics, in this context the application of computer science to biological problems, has become an indispensable part of any research in the biosciences. Rapid developments in gene sequencing, structure determination as well as rational protein engineering and design have made it necessary for biologists, chemists, and computer scientists to channel their expertise into large scale collaborative projects.
This GBF Monograph gives a general overview of the latest versatile activities in bioinformatics:
* Biological Data Bases
* DNA and RNA
* Protein Sequences and Structures
* From Molecules to Cell Metabolism

The articles have been selected from contributions to a conference on Bioinformatics/Computer Application in the Biosciences, held in October 1995 in Braunschweig at the German National Research Center for Biotechnology.

Table of contents

    1. You have free access to this content
      Frontmatter (pages I–IX)

  2. Part 1: Biological Data Bases

    1. Chapter 1

      An Integrated Services Approach to Biological Sequence Databases (pages 3–16)

      K. Heumann, C. Harris, A. Kaps, S. Liebl, A. Maierl, F. Pfeiffer and H. W. Mewes

  3. Part 2: DNA and RNA

    1. Chapter 2

      Das Gensequenzanalysesystem DIANA (pages 18–28)

      A. Hatzigeorgiou, T. Harrer, N. Mache and M. Reczko

    2. Chapter 3

      Statistical Analysis of DNA Sequences (pages 29–45)

      Hanspeter Herzel, Werner Ebeling, Ivo Grosse and Armin O. Schmitt

    3. Chapter 4

      A Consensus Match Scoring System that is Correlated with Biological Functionality (pages 47–57)

      Kerstin Quandt, Kornelie Frech, Günter Herrmann and Thomas Werner

    4. Chapter 5

      Algorithmic Representation of Large RNA Folding Landscapes (pages 59–71)

      Walter Grüner, Robert Giegerich and Dirk Strothmann

  4. Part 3: Protein Sequences and Structures

    1. Chapter 6

      Statistical Significance of Local Alignments with Gaps (pages 74–84)

      Martin Vingron and Michael S. Waterman

    2. Chapter 7

      Classification of Local Protein Structural Motifs by Kohonen Networks (pages 85–92)

      Johannes Schuchhardt, Gisbert Schneider, Joachim Reichelt, Dietmar Schomburg and Paul Wrede

    3. Chapter 8

      Data set heterogeneities and their effects on the derivation of contact potentials (pages 93–104)

      Joachim Selbig

    1. Chapter 9

      3D—Segmentierungstechniken und vektorwertige Bewertungsfunktionen für symbolisches Protein—Protein—Docking (pages 105–124)

      Friedrich Ackermann, Grit Herrmann, Stefan Posch and Gerhard Sagerer

    1. Chapter 10

      An Algorithm for the Protein Docking Problem (pages 125–139)

      Hans-Peter Lenhof

  7. Part 4: From Molecules to Cell Metabolism

    1. Chapter 11

      Force Field Minimization: Domain Decomposition, Positive Definite Functions, and Wavelets (pages 142–152)

      Eberhard Schmitt

    2. Chapter 12

      Ähnlichkeitsanalyse biologisch aktiver Moleküle mit durch Autokorrelationsvektoren trainierten selbstorganisierenden Karten (pages 153–167)

      Henri Bauknecht, Andreas Zell, Harold Bayer, Paul Levi, Markus Wagener, Jens Sadowski and Johann Gasteiger

    3. Chapter 13

      Algebraic Methods for the Analysis of Redundancy and Identifiability in Metabolic 13C-Labelling Systems (pages 169–184)

      W. Wiechert

    4. Chapter 14

      Simulation and Animation of Intracellular Diffusion (pages 185–195)

      Hans-Gerd Lipinski

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