Abstract
The complete human genome sequences in the public database provide ways to understand the blue print of life. As of June 29, 2006, 27 archaeal, 326 bacterial and 21 eukaryotes is complete genomes are available and the sequencing for 316 bacterial, 24 archaeal, 126 eukaryotic genomes are in progress. The traditional biochemical/molecular experiments can assign accurate functions for genes in these genomes. However, the process is time-consuming and costly. Despite several efforts, only 50-60 % of genes have been annotated in most completely sequenced genomes. Automated genome sequence analysis and annotation may provide ways to understand genomes. Thus, determination of protein function is one of the challenging problems of the post-genome era. This demands bioinformatics to predict functions of un-annotated protein sequences by developing efficient tools. Here, we discuss some of the recent and popular approaches developed in Bioinformatics to predict functions for hypothetical proteins.
Highlights
Genome research started in 1995 with the sequencing of the first complete genome of a cellular life form: the 1.8 Mb genome of Haemophilus influenzae strain Rd KW20
[2] The remaining genes are either (i) homologous to genes of unknown function, and are typically referred to as “conserved hypothetical” genes, or (ii) do not have any known homologs termed “hypothetical” or “non characterized” or “unknown” because it is unclear whether they encode actual proteins
Since it is often unclear whether they encode actual proteins, the latter genes are commonly referred to as “hypothetical”, “uncharacterized”, or “unknown” proteins
Summary
Genome research started in 1995 with the sequencing of the first complete genome of a cellular life form: the 1.8 Mb genome of Haemophilus influenzae strain Rd KW20. Several approaches have been developed for predicting protein function using the information derived from sequence similarity, phylogenetic profiles, protein-protein The Rosetta-Stone approach [6] is a method to predict function based on protein fusion events.
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