Poodle

From Bioinformatikpedia
Revision as of 21:50, 6 June 2011 by Meier (talk | contribs) (Poodle)

Poodle

Poodle is a set of tools for the prediction of the secondary structures. The different programs uses different machine learning approaches.

Poodle-L

Poodle-L is specialized on the prediction of long disordered regions (> 40 residues).

Author Hirose S, Shimizu K, Kanai S, Kuroda Y, Noguchi T.
Year 2007
Reference PubMed 17545177
ML Method two levels of SVM

Poodle-S

Poodle-S is specialized on the prediction of short disordered regions. This method uses physicochemical features and a reduced amino acid set of a position-specific scoring matrix.

Author Shimizu K, Hirose S, Noguchi T.
Year 2007
Reference PubMed 17599940
ML Method

Poodle-W

Poodle-W predicts which protein of a set of proteins is the most disordered one.

Author Shimizu K, Muraoka Y, Hirose S, Tomii K, Noguchi T.
Year 2007
Reference PubMed 17338828

Poodle-I

Poodle-I seems to predict the disorder of a protein by combining different tools in a workflow.

Author Hirose S, Shimizu K, Inoue N, Kanai S, Noguchi T.
Year 2008
Reference CASP 8 Proceedings