HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction.
Gregory W. KyroRafael I. BrentVictor S. BatistaPublished in: CoRR (2022)
Keyphrases
- highly accurate
- convolutional neural network
- drug design
- subcellular localization
- protein structure prediction
- mhc class ii
- contact map
- capable of producing
- high accuracy
- prediction accuracy
- protein secondary structure
- protein protein
- drug discovery
- protein protein interactions
- predicting protein
- high quality
- protein structure
- contact maps
- virtual screening
- hiv protease
- accurate models
- protein interaction
- face detection
- protein tertiary structure
- high throughput
- binding peptides
- remote homology detection
- major histocompatibility complex
- gene prediction
- protein function prediction
- protein secondary structure prediction
- experimentally determined
- physico chemical
- protein function
- protein sequences
- protein backbone
- amino acids
- pairwise