Ligand Efficiency-Based Support Vector Regression Models for Predicting Bioactivities of Ligands to Drug Target Proteins.
Nobuyoshi SugayaPublished in: J. Chem. Inf. Model. (2014)
Keyphrases
- regression model
- drug design
- support vector
- support vector regression
- model selection
- regression analysis
- protein structure prediction
- prediction model
- regression methods
- protein protein interactions
- explanatory variables
- survival analysis
- drug discovery
- regression trees
- linear model
- linear regression model
- cross validation
- predicting protein
- target variable
- generalized linear models
- generalized linear
- virtual screening
- machine learning
- early stage
- regression method
- protein structure
- kernel function
- least squares
- support vector machine
- classification accuracy
- feature selection
- neural network
- multivariate regression