Best Model Parameters for T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction With Uncertainty-Aware Self-Learning for Protein-Specific Alignment

This archive contains the best-performing model parameters for T-ALPHA, a hierarchical transformer-based deep neural network designed for protein-ligand binding affinity prediction. Usage: These model parameters can be directly used for inference with the accompanying codebase available on GitHub. Associated Resources: GitHub Repository: [Link to GitHub repo] Full Dataset and Processed Files: [Zenodo link to datasets] For detailed instructions on how to use these parameters, please refer to the GitHub repository and the accompanying README file.