A Highly Sensitive Model Based on Graph Neural Networks for Enzyme Key Catalytic Residue Prediction.
Xiaowei ShenShiding ZhangJianyu LongChangjing ChenMeng WangZiheng CuiBiqiang ChenTianwei TanPublished in: J. Chem. Inf. Model. (2023)
Keyphrases
- neural network
- amino acids
- prediction accuracy
- prediction model
- pattern recognition
- neural network ensemble
- artificial neural networks to predict
- contact map
- artificial neural networks
- graph representation
- graph structure
- contact maps
- graph theory
- bipartite graph
- directed graph
- back propagation
- genetic algorithm
- neural network model
- multi layer perceptron
- prediction algorithm
- protein structure prediction
- connected components
- random walk
- neural nets
- graph model
- graph theoretic
- protein folding
- predicting protein
- multiple sequence alignments