TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation.
Nanjun ChenJixiang YuZhe LiuFuzhou WangXiangtao LiKa-Chun WongPublished in: Briefings Bioinform. (2024)
Keyphrases
- amino acids
- neural network
- protein sequences
- protein structure prediction
- graph representation
- tertiary structure
- prediction model
- secondary structure
- contact maps
- physico chemical
- amino acid sequences
- contact map
- amino acid residues
- prediction accuracy
- artificial neural networks
- protein structure
- experimentally determined
- protein folding
- random walk
- protein function
- sequence alignment
- protein classification
- network model
- psi blast
- machine learning
- protein families
- physicochemical properties
- graph theory
- self organizing maps
- disordered regions