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Structural characterization of genomes by large scale sequence-structure threading: application of reliability
Artem Cherkasov1, Shannan J Ho Sui, Robert C Brunham
1Division of Infectious Diseases, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada. artc@interchange.ubc.ca
BMC Bioinformatics
|July 28, 2004
Summary
Protein fold distribution across genomes is accurately modeled by the Weibull function, outperforming traditional power functions. This reliability analysis offers new insights into comparative and structural genomics.
Area of Science:
- Genomics
- Structural Biology
- Reliability Engineering
Background:
- Protein fold occurrence across genomes can be modeled using a Weibull function.
- Weibull distributions are standard in engineering for reliability and safety analysis.
- This approach offers a novel perspective on biological systems.
Purpose of the Study:
- To evaluate the effectiveness of the Weibull function in describing protein fold distribution within and across genomes.
- To compare the Weibull function's accuracy against conventional power functions used in structural genomics.
- To explore the implications of reliability theory in genomic analysis.
Main Methods:
- Statistical modeling using the Weibull function.
- Analysis of protein fold distributions within and among various genomes.
- Comparison with existing power-law models.
Main Results:
- The Weibull function provides a more accurate description of protein fold distribution than power functions.
- The Weibull reliability parameter (beta) varies between genomes.
- This variation may indicate differing rates of gene duplication in organismal evolution.
Conclusions:
- Reliability analysis offers valuable insights into comparative and structural genomics.
- The Weibull model provides testable predictions for genomic studies.
- This interdisciplinary approach bridges engineering principles with biological research.