ADMET prediction utilizes quantitative structure-activity relationship (QSAR) models, along with machine learning algorithms, to analyze the chemical structure of compounds. By leveraging vast databases of known compounds, these models predict how new compounds will behave in terms of absorption, distribution, metabolism, excretion, and toxicity. The process involves analyzing molecular descriptors and simulating biological interactions.
