An ensemble classifier based prediction of G-protein-coupled receptor classes in low homology.
Quan GuYongsheng DingTongliang ZhangPublished in: Neurocomputing (2015)
Keyphrases
- protein secondary structure
- amino acid sequences
- protein secondary structure prediction
- subcellular localization
- protein structure prediction
- protein sequences
- prediction accuracy
- contact map
- tertiary structure
- neural network ensemble
- secondary structure
- contact maps
- drug design
- predicting protein
- protein tertiary structure
- amino acids
- ensemble methods
- drug discovery
- digital images
- protein interaction
- ensemble classifier
- sequence alignment
- molecular biology
- remote homology detection
- protein chains
- sequence analysis
- protein structure
- protein homology
- binary classification problems
- protein function
- ensemble learning
- protein classification
- protein folding
- protein structural
- multiple sequence alignments
- machine learning
- classifier ensemble
- prediction error
- random forest
- feature selection
- learning algorithm