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Secondary structure predictor
Secondary structure predictor based on neural networks
Description:
The secondary structure predictor is based on neural networks and assigns secondary structure of proteins as described in Proteins 41:535-544 (2000). On residue bases it reaches 75% accuracy on three states, see the above paper.
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