Protein secondary structure prediction with dihedral angles
- 18 March 2005
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 59 (3) , 476-481
- https://doi.org/10.1002/prot.20435
Abstract
We present DESTRUCT, a new method of protein secondary structure prediction, which achieves a three-state accuracy (Q3) of 79.4% in a cross-validated trial on a nonredundant set of 513 proteins. An iterative set of cascade–correlation neural networks is used to predict both secondary structure and ψ dihedral angles, with predicted values enhancing the subsequent iteration. Predictive accuracies of 80.7% and 81.7% are achieved on the CASP4 and CASP5 targets, respectively. Our approach is significantly more accurate than other contemporary methods, due to feedback and a novel combination of structural representations. Proteins 2005.Keywords
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