Integrated unsupervised-supervised modeling and prediction of protein-peptide affinities at structural level.
Peng ZhouLi WenJing LinLi MeiQian LiuShuyong ShangJuelin LiJianping ShuPublished in: Briefings Bioinform. (2022)
Keyphrases
- amino acids
- experimentally determined
- unsupervised learning
- semi supervised
- supervised learning
- tandem mass spectra
- mass spectrometry
- prediction accuracy
- contact map
- protein classification
- pairwise
- supervised classification
- contact maps
- subcellular localization
- protein structure
- mass spectra
- protein secondary structure
- weakly supervised
- structural information
- unsupervised methods
- word sense induction
- protein sequences
- prediction model
- learning algorithm
- restricted boltzmann machine
- mhc class ii
- protein structure prediction
- structural similarities
- gene prediction
- protein interaction
- supervised training
- amino acid residues
- protein protein interactions
- secondary structure
- tandem mass spectrometry
- discriminant projection
- protein function
- predicting protein