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
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PLoS One. 2008;3(10):e3400. doi: 10.1371/journal.pone.0003400. Epub 2008 Oct 15.
ANGLOR: a composite machine-learning algorithm for protein backbone torsion angle prediction.
Wu S1, Zhang Y.