Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning.
Jianan LiKeisuke YanagisawaYasushi YoshikawaMasahito OhueYutaka AkiyamaPublished in: Bioinform. (2022)
Keyphrases
- deep learning
- amino acids
- unsupervised feature learning
- contact map
- physicochemical properties
- contact maps
- hiv protease
- binding peptides
- protein structure prediction
- co occurrence
- protein sequences
- unsupervised learning
- mass spectrometry
- mhc class ii
- protein structure
- image features
- mass spectrometry data
- feature space
- feature extraction
- feature vectors
- tandem mass spectra
- high dimensional
- amino acid residues