Comparative analysis of machine learning based QSAR models and molecular docking studies to screen potential anti-tubercular inhibitors against InhA of mycobacterium tuberculosis.
Madhulata KumariNeeraj TiwariSubhash ChandraNaidu SubbaraoPublished in: Int. J. Comput. Biol. Drug Des. (2018)
Keyphrases
- comparative analysis
- semi quantitative
- machine learning
- machine learning algorithms
- probabilistic model
- drug design
- three dimensional
- statistical methods
- machine learning methods
- model selection
- analytical methods
- learning models
- data sets
- complex systems
- natural language processing
- feature selection
- artificial intelligence
- statistical models
- machine learning models
- fusion scheme
- theoretical models
- machine learning approaches
- learning algorithm
- data mining