ProS-GNN: Predicting effects of mutations on protein stability using graph neural networks.
Shuyu WangHongzhou TangPeng ShanZhaoxia WuLei ZuoPublished in: Comput. Biol. Chem. (2023)
Keyphrases
- neural network
- fuzzy logic
- predicting protein
- graph theoretic
- pattern recognition
- artificial neural networks
- graph representation
- protein sequences
- genetic algorithm
- structured data
- weighted graph
- bipartite graph
- fuzzy systems
- directed graph
- connected components
- protein interaction networks
- protein function
- sequence analysis
- directed acyclic graph
- graph theory
- amino acids
- protein structure
- graph matching
- neural network model
- graph model
- spanning tree
- recurrent neural networks
- multilayer perceptron
- amino acid sequences
- protein protein interaction networks
- chemical compounds
- back propagation
- contact map