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
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






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