Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.
Jack HansonYuedong YangKuldip K. PaliwalYaoqi ZhouPublished in: Bioinform. (2017)
Keyphrases
- recurrent neural networks
- long short term memory
- chaotic time series
- subcellular localization
- neural network
- contact map
- prediction accuracy
- feed forward
- protein secondary structure
- artificial neural networks
- feedforward neural networks
- contact maps
- complex valued
- echo state networks
- protein structure prediction
- recurrent networks
- drug design
- reservoir computing
- predicting protein
- cascade correlation
- protein interaction
- protein sequences
- protein tertiary structure
- experimentally determined
- protein secondary structure prediction
- neural model
- physico chemical
- machine learning
- remote homology detection
- data mining