More information XML output
| Name | POODLE |
|---|---|
| Aliases | None |
| Description | POODLE provides three types of disordered prediction according to length of the target disorder. POODLE-S and POODLE-L predict short disorder and long disorder regions,respectively. POODLE-W predicts which proteins are mostly disordered. |
| Type | Tool |
| Main Institutes of management | Computational Biology Research Center (CBRC),National Institute of Advanced Industrial Science and Technology (AIST) |
| Country of the Institute | Japan |
| URL of the site | http://mbs.cbrc.jp/poodle/ |
| Interface | GUI|Web service (SOAP) |
| Input example | 1.Select program 2.Input the sequence data "MGFAHGFSAVYREWIPLK....." in the text box. (3.) Input E-mail address. (in case of S or W) 4. Click "submit" button. |
| Keyword |
Intrinsically Disorder region | prediction
|
| Amount of the all data for download（Mbyte） | Method to obtain the all data. | - | None |
| External resources (databases) in building the product. | None |
| Data type | Protein-AminoAcid |
| Biological species in the main concern |
All species
|
| Conditions of use | Under investigation |
| Frequency of updates (in last two years) | 1 |
| Last date of updates (date of confirmation) | 2007/05/06 (2009/01/07) |
| Main IDs used in the products | Under investigation |
| How to make a link to get access to each IDs. | None |
| external databases to which this database/tool have links | None |
| Published papers (PubMed IDs) | POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix. | "POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions" , Bioinformatics 2007 23(16) 2046-53. | K. Shimizu, Y. Muraoka, S. Hirose, K. Tomii and T. Noguchi "Predicting mostly disordered proteins by using structure-unknown protein data", BMC Bioinformatics 2007, 8:78. |