Leveraging deep learning for fully automated NMR protein structure determination.
Piotr KlukowskiRoland RiekPeter GüntertPublished in: CoRR (2022)
Keyphrases
- fully automated
- deep learning
- nuclear magnetic resonance
- protein structure
- fully automatic
- unsupervised learning
- nmr spectra
- unsupervised feature learning
- protein sequences
- machine learning
- secondary structure
- protein tertiary structure
- amino acids
- protein function
- amino acid sequences
- protein structure prediction
- mental models
- weakly supervised
- image processing
- reinforcement learning
- protein structure alignment
- semi automatic
- high resolution
- chemical compounds
- contact map
- three dimensional
- image segmentation
- decision trees