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Analysis of peptides from known proteins: clusterization in sequence space
V B Strelets1, I N Shindyalov, H A Lim
1Supercomputer Computations Research Institute, Florida State University, Tallahassee 32306-4052.
Journal of Molecular Evolution
|December 1, 1994
Summary
Protein sequence analysis reveals unexpected clustering in combinatorial sequence space (CSS). This pattern suggests early evolutionary fixation of certain k-tuples, potentially linked to exon shuffling and protein structure evolution.
Area of Science:
- Computational biology
- Bioinformatics
- Evolutionary biology
Background:
- Protein sequences are complex and their evolutionary history is not fully understood.
- Existing models represent sequences as sets of k-tuples within a combinatorial sequence space (CSS).
Purpose of the Study:
- To analyze the clusterization of protein sequences within the CSS.
- To investigate the evolutionary basis for observed sequence clusterization patterns.
Main Methods:
- Development of a novel technique to visualize and analyze clusterization in multidimensional CSS.
- Application of the technique to k-tuples derived from known protein sequences.
Main Results:
- Observed unexpectedly high clusterization of protein k-tuples in the CSS.
- Ruled out explanations based on amino acid frequencies, homologous data, or tested evolutionary/structural factors.
- The clusterization suggests early evolutionary fixation of specific k-tuples.
Conclusions:
- The observed protein sequence clusterization may stem from early evolutionary events.
- Subsequent evolution, possibly neutral, preserved these early variations.
- Findings align with theories of exon shuffling and protein block evolution, suggesting new avenues for sequence space analysis.