A systematic exploration of ΔΔG cutoff ranges in machine learning models for protein mutation stability prediction.
Richard OlneyAaron TuorFilip JagodzinskiBrian HutchinsonPublished in: J. Bioinform. Comput. Biol. (2018)
Keyphrases
- machine learning models
- predictive model
- subcellular localization
- contact map
- protein structure prediction
- machine learning algorithms
- prediction accuracy
- machine learning approaches
- spam filtering
- evolutionary algorithm
- protein interaction
- differential evolution
- prediction model
- learning models
- genetic algorithm
- amino acids
- protein structure
- machine learning
- historical data
- machine learning methods
- fitness function
- knowledge discovery
- data analysis