A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.
Yu WangYanzhi GuoQifan KuangXuemei PuYue JiZhihang ZhangMenglong LiPublished in: J. Comput. Aided Mol. Des. (2015)
Keyphrases
- random forest
- drug design
- random forests
- decision trees
- prediction accuracy
- ensemble methods
- feature set
- ensemble classifier
- protein structure prediction
- fold cross validation
- ensemble learning
- contact map
- multi label
- base classifiers
- protein sequences
- protein protein
- genetic algorithm
- decision tree learning algorithms
- predicting protein
- data sets
- protein interaction
- drug discovery
- protein structure
- support vector
- neural network