Detalle de: The proteome: structure, function and evolution
| Title | The proteome: structure, function and evolution |
| Abstract |
This paper reports two studies to model the inter-relationships between protein sequence, structure and function. First, an automated pipeline to provide a structural annotation of proteomes in the major genomes is described. The results are stored in a database at Imperial College, London (3D-GENOMICS) that can be accessed at www.sbg.bio.ic.ac.uk . Analysis of the assignments to structural superfamilies provides evolutionary insights. 3D-GENOMICS is being integrated with related proteome annotation data at University College London and the European Bioinformatics Institute in a project known as e-protein ( http://www.e-protein.org/ ). The second topic is motivated by the developments in structural genomics projects in which the structure of a protein is determined prior to knowledge of its function. We have developed a new approach PHUNCTIONER that uses the gene ontology (GO) classification to supervise the extraction of the sequence signal responsible for protein function from a structure-based sequence alignment. Using GO we can obtain profiles for a range of specificities described in the ontology. In the region of low sequence similarity (around 15%), our method is more accurate than assignment from the closest structural homologue. The method is also able to identify the specific residues associated with the function of the protein family. |
| Apa Reference | Fleming, K., Kelley, L.A., Islam, S.A., MacCallum, R.M., Muller, A., Pazos, F. & Sternberg, M.J. (2006). The proteome: structure, function and evolution. Philosophical Transactions of the Royal Society B: Biological Sciences, 361(1467), 441-451. 10.1098/rstb.2005.1802 |
| Doi | 10.1098/rstb.2005.1802 |
| Publication Date | 3 Feb 2006 |
| Publication Type | Article |
| Ontology | Genomics, Functional annotation, Function prediction, Biological Databases, Sequence Alignment, Proteomics, Biological Ontologies, Structure-function relationship, Structural genomics |
| Researchers | Florencio Pazos Cabaleiro |
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