Probabilistic annotation of protein sequences based on functional classifications.

ABSTRACT:

Background

One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. This mode of protein function assignment is mostly based on the detection of sequence similarity and the premise that functional properties are conserved during evolution. Most automatic approaches developed to date rely on the identification of clusters of homologous proteins and the mapping of new proteins onto these clusters, which are expected to share functional characteristics.

Results

Here, we inverse the logic of this process, by considering the mapping of sequences directly to a functional classification instead of mapping functions to a sequence clustering. In this mode, the star

SUBMITTER: Levy ED 

PROVIDER: S-EPMC1361783 | biostudies-literature | 2005 Dec

REPOSITORIES: biostudies-literature