Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction.
Xiang LiuHuitao FengJie WuKelin XiaPublished in: Briefings Bioinform. (2021)
Keyphrases
- drug design
- machine learning
- protein structure prediction
- subcellular localization
- recursive neural networks
- contact map
- protein secondary structure
- pairwise
- mhc class ii
- protein secondary structure prediction
- protein sequences
- protein protein interactions
- contact maps
- maximum likelihood
- drug discovery
- computational biology
- prediction accuracy
- virtual screening
- machine learning methods
- protein structure
- hiv protease
- high throughput
- protein classification
- higher order
- gene prediction
- learning algorithm
- prediction model
- feature selection
- experimentally determined
- binding peptides
- remote homology detection
- protein function
- sequence analysis
- amino acids
- statistical methods
- text mining
- decision trees
- dna binding
- multiple sequence alignments
- protein protein
- predicting protein
- secondary structure
- hyperspectral
- protein tertiary structure
- microarray
- major histocompatibility complex