Partitioning of minimotifs based on function with improved prediction accuracy.

ABSTRACT:

Background

Minimotifs are short contiguous peptide sequences in proteins that are known to have a function in at least one other protein. One of the principal limitations in minimotif prediction is that false positives limit the usefulness of this approach. As a step toward resolving this problem we have built, implemented, and tested a new data-driven algorithm that reduces false-positive predictions.

Methodology/principal findings

Certain domains and minimotifs are known to be strongly associated with a known cellular process or molecular function. Therefore, we hypothesized that by restricting minimotif predictions to those where the minimotif containing protein and target protein have a related cellular or molecular function, the prediction is more likely to be accurate.

SUBMITTER: Rajasekaran S 

PROVIDER: S-EPMC2924378 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature