In modern discovery and development of new therapeutic compounds, in silico predictive models have become essential tools for screening candidates long before they reach the laboratory or clinical stage. By simulating complex biological and chemical interactions through computational methods, researchers can make informed decisions about a molecule’s potential success or failure, saving valuable time and resources.