Guiding exploration in conformational feature space with Lipschitz underestimation for ab-initio protein structure prediction.
Xiao-hu HaoGui-jun ZhangXiaogen ZhouPublished in: Comput. Biol. Chem. (2018)
Keyphrases
- protein structure prediction
- feature space
- coarse grained
- protein folding
- fine grained
- drug design
- protein homology
- protein sequences
- protein fold recognition
- amino acids
- high dimensional
- feature vectors
- protein structure
- secondary structure
- computational biology
- mean shift
- graph theory
- feature selection
- kernel function
- feature set
- principal component analysis
- training set
- experimentally determined
- shared memory
- amino acid sequences
- classification accuracy
- artificial intelligence
- sequence alignment
- reinforcement learning
- feature extraction
- high level