Master the art of custom property prediction with ADMET Modeler™. This video guides you through the entire model-building lifecycle, from initial data neutralization and unit conversion to advanced descriptor selection using Genetic Algorithms (GA). Discover how to use stratified sampling to ensure robust model validation and how to navigate the “Grid” to identify the best-performing ensemble models based on RMSE and Q² statistics. The tutorial also introduces Delta Modeling, a powerful technique for creating local models that correct and refine global ADMET Predictor® models with your own proprietary experimental data. Finally, learn how to export and integrate your custom models directly back into the ADMET Predictor® interface for daily use.