Machine Learning Modeling of Protein-intrinsic Features Predicts Tractability of Targeted Protein Degradation.
Wubing ZhangShourya S. Roy BurmanJiaye ChenKatherine A. DonovanYang CaoChelsea ShuBoning ZhangZexian ZengShengqing GuYi ZhangDian LiEric S. FischerCollin TokheimX. Shirley LiuPublished in: Genom. Proteom. Bioinform. (2022)
Keyphrases
- machine learning
- protein structure
- amino acids
- protein sequences
- machine learning approaches
- feature construction
- protein structure prediction
- data mining
- protein families
- feature vectors
- sequence alignment
- protein protein interactions
- feature set
- feature extraction
- sequence analysis
- protein folding
- decision trees
- protein interaction data
- computational biology
- subcellular localization
- feature selection
- knowledge discovery
- low level
- protein complexes
- feature space
- dead end
- physicochemical properties
- feature subset
- np complete
- co occurrence
- image features
- active learning
- computational approaches
- amino acid sequences
- data analysis
- pattern recognition