Interformer: An Interaction-Aware Model for Protein-Ligand Docking and Affinity Prediction
Description
The code, dataset, and model weights are described in the paper "Interformer: An Interaction-Aware Model for Protein-Ligand Docking and Affinity Prediction."
experiment_results.zip: contains generated results that can reproduce the result from the reported paper.
benchmark.zip: contains docking and affinity input data of the interformer. You can use the source code to make predictions and reproduce the number of the reported paper.
checkpoints.zip: contains one weight for the Energy and four PoseScore and Affinity models.
source_code_1.0.zip: contains the initial version of the source code.
You can also find the newest version of the source code at https://github.com/tencent-ailab/Interformer
Files
benchmarks.zip
Additional details
Dates
- Updated
-
2024-11
Software
- Repository URL
- https://github.com/tencent-ailab/Interformer
- Programming language
- Python
- Development Status
- Active