Computational modeling is the use of computers to simulate and study complex systems using mathematics, physics, and computer science. It is a powerful tool that can be used to understand and predict how systems behave, without having to conduct physical experiments. One way to think about computational modeling is to imagine a virtual world that you can create and control. You can use this virtual world to test different scenarios and see how the system behaves under different conditions. For example, you could create a computational model of a weather system to predict how a hurricane is going to develop or, you could create a computational model of a drug to predict how it will interact with the human body. Data Collection - Collecting experimental data on drug properties and interactions. Model Development - Building mathematical models that represent drug behavior in the body. Model Validation - Ensuring that models accurately predict real-world outcomes. Model Application - Using models for various purposes like drug design, dose optimization, and clinical trial simulations.