A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction

@article{Spencer2015ADL,
  title={A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction},
  author={Matt Spencer and Jesse Lee Eickholt and Jianlin Cheng},
  journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics},
  year={2015},
  volume={12},
  pages={103-112}
}
Ab initio protein secondary structure (SS) predictions are utilized to generate tertiary structure predictions, which are increasingly demanded due to the rapid discovery of proteins. Although recent developments have slightly exceeded previous methods of SS prediction, accuracy has stagnated around 80 percent and many wonder if prediction cannot be advanced beyond this ceiling. Disciplines that have traditionally employed neural networks are experimenting with novel deep learning techniques in… CONTINUE READING
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