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Automated protein modelling--the proteome in 3D
M C Peitsch1, T Schwede, N Guex
1Glaxo Wellcome Experimental Research, Plan-les-Ouates/GE, Switzerland. mcp13936@glaxowellcome.co.uk
Pharmacogenomics
|March 21, 2001
Summary
Computational protein modelling aids functional analysis of newly discovered proteins from genome sequencing. This review explores its applications, current challenges, and limitations in structural genomics.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- Functional analysis of proteins from sequenced genomes is a major challenge.
- Computational methods, particularly protein modelling, are crucial for this task.
- The rise of Structural Genomics programs necessitates scalable protein modelling solutions.
Purpose of the Study:
- To review the application of protein models in functional analysis.
- To discuss current computational methods for protein modelling.
- To highlight inherent issues and limitations of these modelling techniques.
Main Methods:
- Comparative protein modelling.
- Automation of modelling methods for genome-scale applications.
- Review of existing literature on protein model applications.
Main Results:
- Protein models can be effectively applied to functional analysis.
- Significant progress has been made in automating protein modelling.
- Genome-scale modelling is becoming feasible.
Conclusions:
- Protein modelling is essential for understanding protein function in the post-genomic era.
- Automation has advanced the utility of protein modelling for large-scale biological research.
- Addressing current limitations is key to maximizing the impact of protein modelling.