aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Yang LiuWeikang GongYanpeng ZhaoXueqing DengShan ZhangChunhua LiPublished in: Bioinform. (2021)
Keyphrases
- rna molecules
- structural features
- convolutional neural networks
- secondary structure
- rna secondary structures
- structural information
- rna sequences
- semantic features
- protein folding
- machine learning
- amino acids
- feature extraction
- protein structure
- protein sequences
- high throughput
- protein structure prediction
- amino acid sequences
- co occurrence
- multiscale
- high level