PLANET: A Multi-objective Graph Neural Network Model for Protein-Ligand Binding Affinity Prediction.
Xiangying ZhangHaotian GaoHaojie WangZhihang ChenZhe ZhangXinchong ChenYan LiYifei QiRenxiao WangPublished in: J. Chem. Inf. Model. (2024)
Keyphrases
- neural network model
- multi objective
- drug design
- protein structure prediction
- neural network
- protein function prediction
- subcellular localization
- protein interaction
- artificial neural networks
- evolutionary algorithm
- drug discovery
- multi layer perceptron
- protein protein
- mhc class ii
- graph theory
- predicting protein
- multi objective optimization
- protein secondary structure
- protein protein interactions
- optimization algorithm
- dna binding
- objective function
- bp neural network
- contact map
- prediction model
- protein function
- input variables
- binding sites
- particle swarm optimization
- hiv protease
- multilayer perceptron
- contact maps
- virtual screening
- network architecture
- dynamic characteristics
- protein secondary structure prediction
- amino acids
- protein sequences
- back propagation neural network
- computational methods
- forecasting accuracy
- genetic algorithm
- remote homology detection
- protein structure
- hopfield network
- rbf neural network
- neural models
- interaction networks
- high throughput
- amino acid sequences
- protein interaction networks
- functional modules
- protein folding
- biological networks
- experimentally determined
- secondary structure