On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction.
Nikolai SchapinCarles NavarroAlbert BouGianni De FabritiisPublished in: CoRR (2024)
Keyphrases
- machine learning approaches
- drug design
- protein structure prediction
- subcellular localization
- contact map
- protein secondary structure
- machine learning algorithms
- prediction accuracy
- machine learning methods
- machine learning
- drug discovery
- mhc class ii
- dna binding
- protein structure
- hiv protease
- contact maps
- machine learning models
- protein protein interactions
- virtual screening
- protein secondary structure prediction
- amino acids
- protein function prediction
- protein protein
- protein function
- protein sequences
- protein interaction
- prediction model
- binding sites
- protein tertiary structure
- pairwise
- distance measure
- data mining methods
- predictive model
- decision trees
- data mining