Prediction methods of structural features in 1D represent a useful tool for the understanding of folding classification, and function of proteins, and, in particular, for 3D structure prediction. Among the structural aspects characterizing a protein, solvent accessibility has received great attention in recent years. The available methods proposed for predicting accessibility have never considered the combination of the results deriving from different methods to construct a consensus prediction able to provide more reliable results. A consensus approach that increases prediction accuracy using three high-performance methods is described. The results of our method for three different protein data sets show that up to 3.0% improvement in prediction accuracy of solvent accessibility may be obtained by a consensus approach. The improvement also extends to the correlation coefficient. Application of our consensus approach to the accessibility prediction using only three prediction methods gives results better than single methods combined for consensus formation. Currently, the scarce availability of predictors with similar parameters defining solvent accessibility hinders the testing of other methods in our consensus procedure.

A consensus procedure improving solvent accessibility prediction / Gianese, Giulio; Pascarella, Stefano. - In: JOURNAL OF COMPUTATIONAL CHEMISTRY. - ISSN 0192-8651. - STAMPA. - 27:5(2006), pp. 621-626. [10.1002/jcc.20370]

A consensus procedure improving solvent accessibility prediction

GIANESE, Giulio;PASCARELLA, Stefano
2006

Abstract

Prediction methods of structural features in 1D represent a useful tool for the understanding of folding classification, and function of proteins, and, in particular, for 3D structure prediction. Among the structural aspects characterizing a protein, solvent accessibility has received great attention in recent years. The available methods proposed for predicting accessibility have never considered the combination of the results deriving from different methods to construct a consensus prediction able to provide more reliable results. A consensus approach that increases prediction accuracy using three high-performance methods is described. The results of our method for three different protein data sets show that up to 3.0% improvement in prediction accuracy of solvent accessibility may be obtained by a consensus approach. The improvement also extends to the correlation coefficient. Application of our consensus approach to the accessibility prediction using only three prediction methods gives results better than single methods combined for consensus formation. Currently, the scarce availability of predictors with similar parameters defining solvent accessibility hinders the testing of other methods in our consensus procedure.
2006
consensus procedure; correlation coefficient; exposure category; prediction accuracy; solvent accessibility
01 Pubblicazione su rivista::01a Articolo in rivista
A consensus procedure improving solvent accessibility prediction / Gianese, Giulio; Pascarella, Stefano. - In: JOURNAL OF COMPUTATIONAL CHEMISTRY. - ISSN 0192-8651. - STAMPA. - 27:5(2006), pp. 621-626. [10.1002/jcc.20370]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/66561
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