6533b7dbfe1ef96bd126f748
RESEARCH PRODUCT
JSSPrediction: a Framework to Predict Protein Secondary Structures Using Integration
Giuseppe TradigoPierangelo VeltriGiorgio TerracinaSimona E. RomboLuigi Palopolisubject
Two phase approachProtein familyComputer sciencebusiness.industryProtein secondary structure predictioncomputer.software_genreTask (project management)Set (abstract data type)Bioinformatics Protein PredictionSoftwareData miningbusinessProtein secondary structurecomputerdescription
Identifying protein secondary structures is a difficult task. Recently, a lot of software tools for protein secondary structure prediction have been produced and made available on-line, mostly with good performances. However, prediction tools work correctly for families of proteins, such that users have to know which predictor to use for a given unknown protein. We propose a framework to improve secondary structure prediction by integrating results obtained from a set of available predictors. Our contribution consists in the definition of a two phase approach: (i) select a set of predictors which have good performances with the unknown protein family, and (ii) integrate the prediction results of the selected prediction tools. Experimental results are also reported.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-01-01 |