We’ve had swisstargetprediction for a while, which tells you receptor binding, and as a pharmacologist if you gave me the receptor binding of a drug I could give you a rough idea of what it’ll do and if it’s toxic. This AI is just listing the effects of agonist/antagonism on a particular receptor, and outputting that information in relation to the binding profile of a chem. X molecule bonds to 5HT2A, Mu Opioid receptor and D1, you’ll get stimulation, nausea, hallucinations, euphoria, potentially drowsiness. Agonist on 5HT3 we get stimulation, nausea, etc etc. Honestly a layperson could probably do a somewhat decent job by looking up how a bunch of drugs work and what receptors they bind to as well as their chemical structure.

To prove it, link pictures of molecules and I’ll do my best to tell you roughly what they do. This is insanely useful but not that cutting edge - the thing that determines the cutting edgeness is the accuracy - STP leaves a lot to be desired.

If you’ve ever taken shrooms or LSD it will be very familiar to you. Both are arising from endless connections between concepts being made and displayed in either computer imagery or closed eye visuals.