Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions.
Nabin GiriRaj S. RoyJianlin ChengPublished in: CoRR (2022)
Keyphrases
- recent advances
- future directions
- deep learning
- protein structure
- unsupervised learning
- protein sequences
- lessons learned
- expectation maximization
- current challenges
- machine learning
- secondary structure
- researchers and practitioners
- amino acids
- em algorithm
- weakly supervised
- mental models
- generative model
- contact map
- multiscale
- k means
- probabilistic model
- nuclear magnetic resonance
- training set
- semi supervised
- supervised learning
- maximum likelihood
- data mining
- experimentally determined