TM-ZC: A Deep Learning-Based Predictor for the Z-Coordinate of Residues in α-Helical Transmembrane Proteins.
Chang LuYingli GongZhe LiuYuanzhao GuoZhiqiang MaHan WangPublished in: IEEE Access (2020)
Keyphrases
- deep learning
- amino acids
- protein sequences
- protein structure
- protein function
- amino acid sequences
- disordered regions
- protein folding
- unsupervised learning
- amino acid composition
- protein chains
- secondary structure
- contact map
- protein structure prediction
- unsupervised feature learning
- protein structure alignment
- physicochemical properties
- machine learning
- protein protein interactions
- mental models
- weakly supervised
- multiple sequence alignments
- deep architectures
- experimentally determined
- protein interaction networks
- computational methods
- protein interaction
- viewpoint
- supervised learning
- feature space
- learning algorithm