|Title||Prediction of protein function and pathways in the genome era|
|Publication Type||Journal Article|
|Year of Publication||2004|
|Authors||Gabaldón, T, Huynen, MA|
|Journal||Cell Mol Life Sci|
|Keywords||ATP-Binding Cassette Transporters/genetics/metabolism Amino Acid Sequence Animals Artificial Gene Fusion Base Sequence Chaperonins/genetics/metabolism Chromosomes/genetics/metabolism Evolution; Molecular *Genome Genomics Humans Molecular Sequence Data Phylogeny *Proteins/classification/genetics/metabolism RNA; Ribosomal/metabolism Sequence Alignment|
The growing number of completely sequenced genomes adds new dimensions to the use of sequence analysis to predict protein function. Compared with the classical knowledge transfer from one protein to a similar sequence (homology-based function prediction), knowledge about the corresponding genes in other genomes (orthology-based function prediction) provides more specific information about the protein’s function, while the analysis of the sequence in its genomic context (context-based function prediction) provides information about its functional context. Whereas homology-based methods predict the molecular function of a protein, genomic context methods predict the biological process in which it plays a role. These complementary approaches can be combined to elucidate complete functional networks and biochemical pathways from the genome sequence of an organism. Here we review recent advances in the field of genomic-context based methods of protein function prediction. Techniques are highlighted with examples, including an analysis that combines information from genomic-context with homology to predict a role of the RNase L inhibitor in the maturation of ribosomal RNA.
Gabaldon, T Huynen, M A Review Switzerland Cellular and molecular life sciences : CMLS Cell Mol Life Sci. 2004 Apr;61(7-8):930-44.