Secondary Structure Classification of Low-homology Proteins with Graph Neural Networks.
Michaela Areti ZervouEffrosyni DoutsiPanagiotis TsakalidesPublished in: EUSIPCO (2022)
Keyphrases
- amino acid sequences
- secondary structure
- protein sequences
- neural network
- amino acids
- predicting protein
- protein structure
- secondary structure of proteins
- protein function
- protein classification
- protein structure prediction
- protein folding
- molecular biology
- secondary structure prediction
- protein secondary structure
- machine learning
- decision trees
- multiple sequence alignment
- sequence similarity
- computational methods
- feature selection
- tertiary structure
- structural features
- sequence analysis
- computational biology
- graph theory
- protein secondary structure prediction
- machine learning methods
- string kernels
- protein families
- sequence alignment
- psi blast
- spatial structure