A consensus procedure improving solvent accessibility prediction.
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.
Dipartimento di Scienze Biochimiche A. Rossi Fanelli, Università La Sapienza, 00185 Roma, Italy.
Giulio
G
Gianese
Stefano
S
Pascarella
D000595:Amino Acid Sequence; D003198:Computer Simulation; D019992:Databases as Topic; D008969:Molecular Sequence Data; D011237:Predictive Value of Tests; D017510:Protein Folding; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry*; D016415:Sequence Alignment; D012997:Solvents / Q000737:chemistry
D011506:Proteins; D012997:Solvents