POODLE-L -- Prediction Of Order and Disorder by machine LEarning
What you can do:
A two-level SVM prediction system for reliably predicting long disordered regions.
Highlights:
- Recent experimental and theoretical studies have revealed several proteins containing sequence segments that are unfolded under physiological conditions, called disordered regions. They are actively investigated because of their possible involvement in various biological processes, such as cell signaling, transcriptional and translational regulation.
- Disordered regions can represent a major obstacle to high-throughput proteome analysis and often need to be removed from experimental targets. The accurate prediction of long disordered regions is thus expected to provide annotations that are useful for a wide range of applications.
- POODLE-L is a Support Vector Machines (SVMs) based method for predicting long disordered regions using 10 kinds of simple physico-chemical properties of amino acid.
- POODLE-L assembles the output of 10 two-level SVM predictors into a final prediction of disordered regions.
Keywords:
- Pattern Recognition
- Protein Folding
- Protein Structure
- disordered regions
Literature & Tutorials:
This record last updated: 08-26-2008