Comparison of structure- and ligand-based scoring functions for deep generative models: a GPCR case study.
Morgan ThomasRobert T. SmithNoel M. O'BoyleChris de GraafAndreas BenderPublished in: J. Cheminformatics (2021)
Keyphrases
- generative model
- scoring functions
- hidden variables
- probabilistic model
- discriminative learning
- topic models
- hierarchical hidden markov models
- scoring function
- prior knowledge
- conditional random fields
- em algorithm
- protein sequences
- similarity measure
- least squares
- data sets
- posterior probability
- active learning
- pairwise
- training data
- deep belief networks