Dataset Information

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 regions using two unsupervised clustering techniques in order to predict the region in which a new residue belongs. The performance of our method is comparable to, and in some cases more accurate than, other multi-class dihedral prediction methods.

Conclusions

We have created an accurate predictor of backbone dihedral angles and secondary structure. Our method, called DISSPred, is available online at http://comp.chem.nottingham.ac.uk/disspred/.

SUBMITTER: Kountouris P

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

REPOSITORIES: biostudies-literature

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Publications

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

Kountouris Petros P Hirst Jonathan D JD

BMC bioinformatics 20091222

<h4>Background</h4>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.<h4>Results</h4>We predict independently both the secondary structure and the backbone dihedral angles and combine the results in a loop to enhance each prediction reciprocal ...[more]

PMID: 20025785

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Dataset Information

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

Background

Results

Conclusions

Publications

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

Similar Datasets

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