Predicting functional sites with an automated algorithm suitable for heterogeneous datasets.

ABSTRACT:

Background

In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overall familial phylogeny, represent a promising approach for sequence/function annotation. Across a structurally and functionally heterogeneous dataset, phylogenetic motifs have been demonstrated to correspond to a wide variety of functional site archetypes, including those defined by surface loops, active site clefts, and less exposed regions. However, in our original demonstration of the technique, phylogenetic motif identification is dependent upon a manually determined similarity threshold, prohibiting large-scale application of the technique.

Results

In this report, we present an algorithmic approac

SUBMITTER: La D 

PROVIDER: S-EPMC1142304 | biostudies-literature | 2005 May

REPOSITORIES: biostudies-literature