DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences.
Ingoo LeeJongsoo KeumHojung NamPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- protein sequences
- deep learning
- protein secondary structure
- protein classification
- protein structure prediction
- computational biology
- protein secondary structure prediction
- multiple sequence alignments
- unsupervised learning
- protein structure
- secondary structure
- experimentally determined
- prediction accuracy
- amino acids
- machine learning
- remote homology detection
- multiple sequence alignment
- protein function
- amino acid sequences
- sequence analysis
- weakly supervised
- mental models
- learning algorithm
- expectation maximization
- decision trees