De novo drug design with deep generative models : an empirical study.
Mehdi ChertiBalázs KéglAkin KazakçiPublished in: ICLR (Workshop) (2017)
Keyphrases
- generative model
- drug design
- probabilistic model
- deep belief networks
- discriminative learning
- protein structure prediction
- em algorithm
- drug discovery
- protein protein interactions
- discriminative models
- prior knowledge
- deep learning
- hierarchical hidden markov models
- expectation maximization
- semi supervised
- human genome
- machine learning
- fine grained
- natural language
- feature selection
- generative and discriminative models
- data sets