AI-Powered Intermolecular Binding Affinity Calculators: A Comprehensive List

Here are some currently available AI-based intermolecular binding affinity calculators:

1. DeepBind: DeepBind is a deep learning-based tool that predicts DNA and RNA binding specificities of proteins. It uses convolutional neural networks to analyze protein sequences and predict their binding affinity.

2. BindProfX: BindProfX is an AI-based tool that predicts protein-ligand binding affinities. It uses a combination of machine learning algorithms and molecular dynamics simulations to estimate binding affinities between proteins and small molecules.

3. RF-Score: RF-Score is a machine learning-based scoring function that predicts protein-ligand binding affinities. It uses random forest regression models trained on a large dataset of protein-ligand complexes to estimate binding affinities.

4. DeepAffinity: DeepAffinity is a deep learning-based tool for predicting protein-protein binding affinities. It uses a combination of convolutional and recurrent neural networks to analyze protein sequences and predict their binding affinity.

5. AutoDock Vina: AutoDock Vina is a popular docking software that uses a combination of genetic algorithms and machine learning techniques to predict protein-ligand binding affinities. It can be used to predict binding affinities for a wide range of protein-ligand complexes.

Please note that the availability and performance of these tools may vary, and it is advisable to refer to the respective websites or publications for more information on their usage and capabilities.