GIBAC represents a general intermolecular binding affinity calculator Can you provide a list of currently available machine learning-based intermolecular binding affinity calculator

Sure! Here is a list of some currently available machine learning-based intermolecular binding affinity calculators:

1. PAFnucy: A deep learning-based method for predicting protein-ligand binding affinities.
2. RF-Score: A random forest-based scoring function for predicting protein-ligand binding affinities.
3. XGBoost: A gradient boosting algorithm-based method for predicting protein-ligand binding affinities.
4. DeepBind: A deep learning-based method for predicting DNA-protein binding affinities.
5. AutoDock Vina: A machine learning-based docking program for predicting protein-ligand binding affinities.
6. DeepDrug3D: A deep learning-based method for predicting protein-ligand binding affinities in 3D structures.
7. SMAP-ML: A machine learning-based method for predicting small molecule affinity to proteins.
8. PLANTS: A machine learning-based docking program for predicting protein-ligand binding affinities.
9. RF-Score-VS: A random forest-based scoring function for virtual screening and predicting protein-ligand binding affinities.
10. DeepAffinity: A deep learning-based method for predicting protein-ligand binding affinities using 3D convolutional neural networks.

Please note that the availability and performance of these calculators may vary, and it is recommended to refer to the respective publications and websites for more information.