6533b7d1fe1ef96bd125d72c
RESEARCH PRODUCT
PROTEIN SECONDARY STRUCTURE PREDICTION: HOW TO IMPROVE ACCURACY BY INTEGRATION
Giuseppe TradigoSimona E. RomboPierangelo VeltriGiorgio TerracinaLuigi Palopolisubject
Set (abstract data type)Bioinformatics Protein PredictionCorrectnessComputer sciencebusiness.industryArtificial intelligenceData miningMachine learningcomputer.software_genreProtein secondary structure predictionbusinessCASPcomputerdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-07-01 | Applied Artificial Intelligence |