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: J. Chem. Inf. Model. (2023)
Keyphrases
- highly accurate
- convolutional neural network
- drug design
- subcellular localization
- protein structure prediction
- contact map
- prediction accuracy
- face detection
- protein protein
- protein secondary structure
- capable of producing
- mhc class ii
- drug discovery
- protein protein interactions
- predicting protein
- high quality
- dna binding
- high accuracy
- hiv protease
- virtual screening
- accurate models
- protein structure
- binding sites
- protein sequences
- high throughput
- protein secondary structure prediction
- experimentally determined
- protein backbone
- protein tertiary structure
- computer vision
- sequence analysis
- protein function
- binding peptides
- physico chemical
- image sequences