Protein-Protein Interface Topology as a Predictor of Secondary Structure and Molecular Function Using Convolutional Deep Learning.
Benjamin BouvierPublished in: J. Chem. Inf. Model. (2021)
Keyphrases
- deep learning
- protein protein
- secondary structure
- predicting protein
- protein sequences
- computational methods
- protein structure
- amino acid sequences
- protein protein interactions
- unsupervised learning
- protein function
- amino acids
- neural network
- computational biology
- experimentally determined
- protein structure prediction
- protein folding
- machine learning
- protein interaction
- mental models
- interaction networks
- drug design
- high throughput
- sequence analysis
- high precision