Difference between revisions of "Poodle"

From Bioinformatikpedia
(Poodle)
(Poodle)
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==Poodle-L==
 
==Poodle-L==
 
Poodle-L is specialized on the prediction of long disordered regions (> 40 residues).
 
   
 
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| two levels of SVM
 
| two levels of SVM
 
|}
 
|}
  +
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Poodle-L is specialized on the prediction of long disordered regions (> 40 residues).
   
 
==Poodle-S==
 
==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.
 
   
 
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! Reference
 
! Reference
 
| [http://www.ncbi.nlm.nih.gov/pubmed/17599940 PubMed 17599940]
 
| [http://www.ncbi.nlm.nih.gov/pubmed/17599940 PubMed 17599940]
|-
 
! ML Method
 
|
 
 
|}
 
|}
  +
  +
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==
 
==Poodle-W==
 
Poodle-W predicts which protein of a set of proteins is the most disordered one.
 
   
 
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| [http://www.ncbi.nlm.nih.gov/pubmed/17338828 PubMed 17338828]
 
| [http://www.ncbi.nlm.nih.gov/pubmed/17338828 PubMed 17338828]
 
|}
 
|}
  +
  +
Poodle-W predicts which protein of a set of proteins is the most disordered one.
   
 
==Poodle-I==
 
==Poodle-I==
 
Poodle-I seems to predict the disorder of a protein by combining different tools in a workflow.
 
   
 
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| CASP 8 Proceedings
 
| CASP 8 Proceedings
 
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|}
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Poodle-I seems to predict the disorder of a protein by combining different tools in a workflow.

Revision as of 21:52, 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 SVM

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

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.