Search results for "Protein secondary structure prediction"

showing 3 items of 3 documents

PROTEIN SECONDARY STRUCTURE PREDICTION: HOW TO IMPROVE ACCURACY BY INTEGRATION

2006

In this paper a technique to improve protein secondary structure prediction is proposed. The approach is based on the idea of combining the results of a set of prediction tools, choosing the most correct parts of each prediction. The correctness of the resulting prediction is measured referring to accuracy parameters used in several editions of CASP. Experimental evaluations validating the proposed approach are also reported.

Set (abstract data type)Bioinformatics Protein PredictionCorrectnessComputer sciencebusiness.industryArtificial intelligenceData miningMachine learningcomputer.software_genreProtein secondary structure predictionbusinessCASPcomputerApplied Artificial Intelligence
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JSSPrediction: a Framework to Predict Protein Secondary Structures Using Integration

2006

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 resul…

Two phase approachProtein familyComputer sciencebusiness.industryProtein secondary structure predictioncomputer.software_genreTask (project management)Set (abstract data type)Bioinformatics Protein PredictionSoftwareData miningbusinessProtein secondary structurecomputer
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Improving protein secondary structure predictions by prediction fusion

2009

Protein secondary structure prediction is still a challenging problem at today. Even if a number of prediction methods have been presented in the literature, the various prediction tools that are available on-line produce results whose quality is not always fully satisfactory. Therefore, a user has to know which predictor to use for a given protein to be analyzed. In this paper, we propose a server implementing a method to improve the accuracy in protein secondary structure prediction. The method is based on integrating the prediction results computed by some available on-line prediction tools to obtain a combined prediction of higher quality. Given an input protein p whose secondary struct…

CorrectnessComputer sciencemedia_common.quotation_subjectProtein structure predictioncomputer.software_genreSet (abstract data type)Global distance testHardware and ArchitectureSignal ProcessingQuality (business)Data miningBioinformatics Protein Secondary Structure Prediction ClassificationCASPProtein secondary structurecomputerSoftwareInformation Systemsmedia_commonData integrationInformation Fusion
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