Structure-based prediction of protein- peptide binding regions using Random Forest.
Ghazaleh TaherzadehYaoqi ZhouAlan Wee-Chung LiewYuedong YangPublished in: Bioinform. (2018)
Keyphrases
- random forest
- mhc class ii
- contact map
- decision trees
- random forests
- mass spectrometry
- amino acids
- binding peptides
- tandem mass spectra
- protein sequences
- prediction accuracy
- protein classification
- feature set
- ensemble methods
- ensemble classifier
- multi label
- protein structure prediction
- protein structure
- transcription factor binding sites
- dna binding
- hiv protease
- physicochemical properties