A Bioinformatic Approach to Inter Functional Interactions within Protein Sequences
Abstract
The primary purpose of the current project was to evaluate the techniques they had developed to infer functional interactions between the sites within a protein and, if appropriate, refine them in the light of the results of evaluation. The initial results revealed significant limitations of their preliminary approaches. As a result of this project, it is now apparent that deep understanding of the significance of co-evolution between sites within a protein family requires sophisticated methods for identifying large groups of co-evolving sites, in some cases more than 100 sites that all co-evolve with one another. They have developed techniques that first identify all pairs of co-evolved sites and then identify all maximal cliques that can be formed from these pairs. In the process they developed a new data mining technique, association networks. In a separate study they have applied their approaches to the problem of whole genome alignment. They have successfully developed an engine that can align whole genomes and are extending it to handle the case of sequence reordering.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 23, 2009
- Accession Number
- ADA494590
Entities
People
- Geoff Webb
- James C. Whisstock
Organizations
- Monash University