Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network.
Lei WangZhu-Hong YouXing ChenShixiong XiaFeng LiuXin YanYong ZhouPublished in: ISBRA (2017)
Keyphrases
- computational methods
- protein sequences
- protein protein
- secondary structure
- protein interaction
- protein secondary structure
- neural network
- physico chemical
- protein function
- protein structure prediction
- experimentally determined
- drug design
- computational approaches
- predicting protein
- protein classification
- protein protein interactions
- computational biology
- structural motifs
- amino acid sequences
- multiple sequence alignments
- statistical methods
- amino acids
- biological sequences
- interaction networks
- protein structure
- sequence similarity
- multiple sequence alignment
- coarse grained
- sequence analysis
- remote homology detection
- protein secondary structure prediction
- knowledge discovery
- functional modules
- protein complexes
- protein interaction networks
- biological processes
- drug discovery
- statistical analysis