Prediction of amino acid side chain conformation using a deep neural network.
Ke LiuXiangyan SunJun MaZhenyu ZhouQilin DongShengwen PengJunqiu WuSuocheng TanGünter BlobelJie FanPublished in: CoRR (2017)
Keyphrases
- amino acids
- protein structure prediction
- neural network
- protein folding
- protein structure
- protein sequences
- prediction model
- contact maps
- amino acid sequences
- experimentally determined
- secondary structure
- tertiary structure
- physico chemical
- contact map
- secondary structure prediction
- amino acid residues
- protein function
- prediction accuracy
- artificial neural networks
- computational biology
- multi layer perceptron
- physicochemical properties
- disordered regions
- molecular biology
- elman network
- back propagation
- psi blast
- predicting protein
- protein classification
- chaotic time series
- sequence alignment
- graph theory
- neural network model
- network structure
- self organizing maps
- intrinsically disordered