Structural and Sequence Similarity Makes a Significant Impact on Machine-Learning-Based Scoring Functions for Protein-Ligand Interactions.
Yang LiJianyi YangPublished in: J. Chem. Inf. Model. (2017)
Keyphrases
- sequence similarity
- computational methods
- protein protein
- scoring functions
- protein structure prediction
- machine learning
- genome scale
- drug design
- secondary structure
- computational biology
- statistical methods
- scoring function
- protein sequences
- protein protein interactions
- dna binding
- learning algorithm
- protein folding
- protein structure
- feature selection
- amino acids
- protein interaction
- machine learning methods
- natural language processing
- graph theory
- high throughput
- machine learning algorithms
- text mining
- interaction patterns
- information extraction
- bayesian networks
- social networks
- virtual screening
- search engine