DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences.
Ingoo LeeJongsoo KeumHojung NamPublished in: CoRR (2018)
Keyphrases
- deep learning
- protein sequences
- protein secondary structure
- protein classification
- protein structure prediction
- protein secondary structure prediction
- computational biology
- multiple sequence alignments
- secondary structure
- experimentally determined
- protein structure
- remote homology detection
- unsupervised learning
- machine learning
- prediction accuracy
- amino acids
- weakly supervised
- multiple sequence alignment
- protein function
- mental models
- amino acid sequences
- sequence analysis
- protein interaction
- psi blast
- decision trees
- feature vectors
- natural language processing
- pairwise
- reinforcement learning
- multiscale
- image segmentation