Difference between revisions of "Poodle"
From Bioinformatikpedia
(Created page with "=Poodle= Poodle is a set of tools for the prediction of the secondary structures. The different programs uses different machine learning approaches. ==Poodle-L== {| style="f…") |
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==Poodle-L== |
==Poodle-L== |
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| + | Poodle-L is specialized on the prediction of long disordered regions (> 40 residues). |
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==Poodle-S== |
==Poodle-S== |
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| + | Poodle-S is specialized on the prediction of short disordered regions. |
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| + | This method uses physicochemical features and a reduced amino acid set of a position-specific scoring matrix. |
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! Reference |
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| [http://www.ncbi.nlm.nih.gov/pubmed/17599940 PubMed 17599940] |
| [http://www.ncbi.nlm.nih.gov/pubmed/17599940 PubMed 17599940] |
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| + | ! ML Method |
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==Poodle-W== |
==Poodle-W== |
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| + | Poodle-W predicts which protein of a set of proteins is the most disordered one. |
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==Poodle-I== |
==Poodle-I== |
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| + | Poodle-I seems to predict the disorder of a protein by combining different tools in a workflow. |
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Revision as of 21:50, 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
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 |
