Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy.
Rongjian LiDong SiTao ZengShuiwang JiJing HePublished in: BIBM (2016)
Keyphrases
- electron microscopy
- secondary structure
- convolutional neural networks
- protein structure
- protein secondary structure
- protein sequences
- predicting protein
- amino acids
- protein folding
- low energy
- tertiary structure
- amino acid sequences
- x ray
- protein secondary structure prediction
- image stacks
- protein structure prediction
- multiple sequence alignment
- secondary structure of proteins
- thin film
- protein function
- computational methods
- convolutional network
- experimentally determined
- molecular biology
- rna secondary structures
- remote homology detection
- computational biology
- solvent accessibility
- rna sequences
- protein secondary structures
- psi blast
- sequence analysis
- sequence alignment
- protein protein interactions
- dynamic programming
- wireless sensor networks