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

Molecular docking: Predicts binding affinity by simulating the interaction between a drug molecule and target protein.
Molecular dynamics simulations: Models the movement of drug and target atoms over time to estimate binding affinity.
Free energy calculations: Quantifies the difference in free energy between bound and unbound states to determine binding affinity.
Machine learning methods: Utilizes algorithms to learn from known drug-target interactions and predict binding affinity for new compounds.
Quantitative structure-activity relationship (QSAR) models: Establishes a relationship between chemical structure and binding affinity based on known data.
Fragment-based drug design: Evaluates small chemical fragments for binding affinity and combines them to design new drug compounds