How do AI models predict the toxicity of new compounds?
AI models predict toxicity by using training datasets composed of known chemical structures and their associated biological effects. These models, through techniques like supervised learning, learn to associate specific molecular features with toxic outcomes. Once trained, they can predict the potential toxicity of new compounds by analyzing their molecular structure, offering insights that can guide the design of safer chemicals and pharmaceuticals.
