Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism.
Sangmin SeoJonghwan ChoiSeungyeon ChoiJieun LeeChihyun ParkSanghyun ParkPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- prediction accuracy
- protein protein
- attention mechanism
- protein sequences
- binding sites
- convolutional network
- experimentally determined
- convolutional neural networks
- visual attention
- protein protein interactions
- computational methods
- protein structure
- computational biology
- ensemble methods
- protein function
- protein families
- saliency map
- high throughput
- predicting protein
- dna sequences
- amino acids
- gene expression
- amino acid sequences
- interaction networks
- sequence data
- sequence analysis
- secondary structure
- protein structure prediction
- transcription factors
- protein complexes
- genome sequences
- statistical significance
- computer vision
- molecular biology
- higher order
- computational approaches
- motif discovery
- machine learning methods
- solvent accessibility
- video sequences