Chapter I-1. From Genomes to Drugs with Bioinformatics

  1. Prof. Dr. Thomas Lengauer Ph.D.
  1. Prof. Dr. Thomas Lengauer Ph.D.

Published Online: 1 APR 2004

DOI: 10.1002/3527601481.ch1

Bioinformatics - From Genomes to Drugs

Bioinformatics - From Genomes to Drugs

How to Cite

Lengauer, T. (2001) From Genomes to Drugs with Bioinformatics, in Bioinformatics - From Genomes to Drugs (ed T. Lengauer), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, FRG. doi: 10.1002/3527601481.ch1

Editor Information

  1. Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

Author Information

  1. Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, D-53754 Sankt Augustin, Germany

  1. Max-Planck-Institute for Computer Science, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany

Publication History

  1. Published Online: 1 APR 2004
  2. Published Print: 1 NOV 2001

Book Series:

  1. Methods and Principles in Medicinal Chemistry

Book Series Editors:

  1. Prof. Dr. Raimund Mannhold3,
  2. Prof. Dr. Hugo Kubinyi4 and
  3. Prof. Dr. Gerd Folkers5

Series Editor Information

  1. 3

    Biomedical Research Center, Molecular Drug Research Group, Heinrich-Heine-Universität, Universitätsstraße 1, D-40225 Düsseldorf, Germany

  2. 4

    BASF AG, Ludwigshaften, c/o Donnersbergstrasse g, D-67256 Weisenheim am Sand, Germany

  3. 5

    Department of Applied Biosciences, ETH Zürich, Winterthurer Str. 190, CH-8057 Zürich, Switzerland

ISBN Information

Print ISBN: 9783527299881

Online ISBN: 9783527601486

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Keywords:

  • genomes;
  • drugs;
  • bioinformatics;
  • genomics;
  • proteomics;
  • genes;
  • proteins

Summary

This chapter contains sections titled:

  • The molecular basis of disease

  • The molecular approach to curing diseases

  • Finding protein targets

    • Genomics vs proteomics

    • Extent of information available on the genes/proteins

  • Developing drugs

  • A bioinformatics landscape

    • The intrinsic view

  • The extrinsic view

    • Basic contributions: molecular biology database and genome comparison

    • Scenario 1: Gene and protein expression data

    • Scenario 2: Drug screening

    • Scenario 3: Genetic variability