Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling.
Jaswinder SinghKuldip K. PaliwalThomas LitfinJaspreet SinghYaoqi ZhouPublished in: Bioinform. (2022)
Keyphrases
- secondary structure
- deep learning
- amino acid sequences
- amino acids
- protein structure
- protein sequences
- rna secondary structure prediction
- computational methods
- protein structure prediction
- rna sequences
- unsupervised learning
- structural features
- protein folding
- sequence alignment
- mental models
- contact map
- machine learning
- coarse grained
- distance measure
- rna secondary structures
- semi supervised
- high dimensional