We value responsible development and deployment of AI in drug discovery. While our prediction models offer  valuable insights into potential bioactivity, toxicity and drug likeness, it's crucial to remember it's just one piece of the puzzle. Decisions affecting lab experiments should not solely rely on pIC50. Additional critical factors, such as ADMET properties (absorption, distribution, metabolism, excretion, and toxicity), selectivity (targeting the intended protein without harming others), and pharmacokinetic properties (drug movement and action in the body) must be rigorously assessed.  **This model is designed to augment, not replace**, the invaluable expertise of subject-matter experts and the essential role of lab work. Combining in silico predictions with thorough biological validation and expert judgment can ensure responsible and ethical prioritization of experiments, ultimately accelerating the development of safe and effective drugs.