What are the currently available approach for the calculation of intermolecular binding affinity eg drug-target binding affinity Can you summarize them in shortest words possible such as physics-based

Physics-based approach: Uses physical principles and computational methods to calculate binding affinity by analyzing the interactions between atoms and molecules.

Statistics-based approach: Utilizes statistical methods and machine learning techniques to predict binding affinity based on the analysis of known binding data and molecular features.

AI-based approach: Incorporates artificial intelligence techniques, such as deep learning and neural networks, to predict binding affinity by learning patterns and relationships from large datasets.

Other approaches: Fragment-based methods, free energy calculations, molecular docking, virtual screening, and molecular dynamics simulations are also used for calculating binding affinity