ANGLOR is a machine-learning based algorithm for ab initio
prediction of protein backbone torsion angles.
For a given amino acid sequence, the real-value
backbone torsion angles (phi and psi) for each residue
are predicted by the combination of the neural network training
and the support vector machine.
ANGLOR On-line
ANGLOR Download
- Click here
to download the ANGLOR standalone package.
- Click here
to download a list of training (500 proteins), validation (460 proteins), and
testing (1029 proteins) for ANGLOR method.
References:
-
S. Wu, Y. Zhang.
ANGLOR: A Composite Machine-Learning Algorithm for Protein Backbone Torsion Angle Prediction.
PLoS ONE 2008; 3: e3400.
(download the PDF file)