Prediction of backbone dihedral angles and protein secondary structure using support vector machines.

ABSTRACT:

Background

The prediction of the secondary structure of a protein is a critical step in the prediction of its tertiary structure and, potentially, its function. Moreover, the backbone dihedral angles, highly correlated with secondary structures, provide crucial information about the local three-dimensional structure.

Results

We predict independently both the secondary structure and the backbone dihedral angles and combine the results in a loop to enhance each prediction reciprocally. Support vector machines, a state-of-the-art supervised classification technique, achieve secondary structure predictive accuracy of 80% on a non-redundant set of 513 proteins, significantly higher than other methods on the same dataset. The dihedral angle space is divided into a number of region

SUBMITTER: Kountouris P 

PROVIDER: S-EPMC2811710 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature