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Computers & Chemistry
Volume 26, Issue 1, December 2001, Pages 15-21
 
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doi:10.1016/S0097-8485(01)00095-X    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2001 Elsevier Science Ltd. All rights reserved.

Medical target prediction from genome sequence: combining different sequence analysis algorithms with expert knowledge and input from artificial intelligence approaches

Thomas DandekarCorresponding Author Contact Information, E-mail The Corresponding Author, a, b, c, Fuli Dua, b, R. Heiner Schirmerd and Steffen Schmidta, b

a European Molecular Biology Laboratory, PO Box 102209, Meyerhostraße 1, D-69012 Heidelberg, Germany b Abteilung für Parasitologie, INF 324, 69120 University of Heidelberg, Heidelberg, Germany c Institute for Molecular Medicine, 79106 University of Freiburg, Freiburg, Germany d Biochemistry Center (BZH), INF 328, 69120 University of Heidelberg, Heidelberg, Germany

Received 29 November 2000; 
accepted 18 April 2001. 
Available online 1 November 2001.

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Abstract

By exploiting the rapid increase in available sequence data, the definition of medically relevant protein targets has been improved by a combination of: (i) differential genome analysis (target list); and (ii) analysis of individual proteins (target analysis). Fast sequence comparisons, data mining, and genetic algorithms further promote these procedures. Mycobacterium tuberculosis proteins were chosen as applied examples.

Author Keywords: Genome analysis; Structure prediction; Mycobacterium tuberculosis; Drug design; Sequence comparison

Article Outline

1. Introduction
2. Materials and methods
2.1. Differential genome analysis
2.2. Secondary structure prediction
2.3. Homology modelling and domain identification
2.4. Optimization of different ranking criteria using the genetic algorithm
3. Results and discussion
3.1. Differential genome analysis
3.2. Lists of potential targets and further identification tools
3.3. Target structure analysis
4. Conclusions
Acknowledgements
References




Computers & Chemistry
Volume 26, Issue 1, December 2001, Pages 15-21
 
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