Difference between revisions of "Poodle"

From Bioinformatikpedia
(Poodle-L)
(Poodle-L)
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Poodle-L is specialized on the prediction of long disordered regions (> 40 residues).
 
Poodle-L is specialized on the prediction of long disordered regions (> 40 residues).
  +
It uses two SVMs. Each amino acid is represented by ten different physikochemical
  +
properties (10 dimensions). The first SVM predicts the probability of a 40-residue
  +
segment to be disordered. This output is used by the second SVM to predict predict
  +
the probability of a single residue to be disordered.
   
 
==Poodle-S==
 
==Poodle-S==

Revision as of 22:59, 6 June 2011

Poodle

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

Poodle-L

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

Poodle-L is specialized on the prediction of long disordered regions (> 40 residues). It uses two SVMs. Each amino acid is represented by ten different physikochemical properties (10 dimensions). The first SVM predicts the probability of a 40-residue segment to be disordered. This output is used by the second SVM to predict predict the probability of a single residue to be disordered.

Poodle-S

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

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.

Poodle-W

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

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

Poodle-I

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

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