The distance between a promising molecule and a working medicine is measured in stages, and each stage is designed to answer a different question. A computational prediction asks whether a molecule might bind a target. A laboratory assay asks whether it does something measurable in a defined system. An animal study asks whether it survives absorption and metabolism well enough to reach the target without obvious harm. A phase 1 trial asks a narrower question still: is the drug safe and tolerable in a small group of people, and at what dose? Only a later, larger, controlled trial asks whether patients actually get better.
This is why a phase 1 result is not proof of a working drug. Phase 1 trials typically enroll a few dozen participants, often healthy volunteers rather than patients, and their primary purpose is to characterize safety and dosing. A drug can pass phase 1 cleanly and still fail later because it does not help patients, or because a side effect appears only when a larger and more varied group is exposed. The probability of success rises as a program moves up the ladder, but it does not reach certainty until the controlled human trial is complete.
A useful way to hold this is to treat each rung as retiring one specific way the claim could be wrong. The computational rung retires nothing about biology. The animal rung retires some absorption and toxicity concerns. Phase 1 retires some immediate safety concerns. Only the controlled trial retires the question of whether the drug works.