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Moving beyond 5-HT2A: language models map neurotransmitter receptors to experiential semantics
Praneet Suresh1,2, Josie Kins3, Lex Levkovskyy3
1Mila - Quebec Artificial Intelligence Institute, Montréal, QC, Canada.
Rationale:
Psychedelics exhibit rapid, durable therapeutic effects across diverse psychiatric conditions, yet their broad-spectrum psychoactivity poses challenges for clinical translation.
Objectives:
As a proof-of-concept, we aimed to quantify associations between 19 neurotransmitter receptors and the subjective effects of 21 psychedelic drugs with broadly assayed binding profiles.
Methods:
We used a custom Global Vectors for Word Representation (GloVe)-based semantic embedding model trained on 4,496 firsthand experience reports and integrated it with receptor affinities to identify candidate receptor-linked semantic patterns related to distinct psychoactive effects without imposing predefined categorization systems.
Results:
While 5-HT2A predictably associates with classic facets of psychedelic experience, our analysis reveals novel associations, including 5-HT1A and 5-HT1B with 'Cognitive Disruption', H1 with 'Interdimensional Communication', and 5-HT7a and 5-HT1E with 'Visual Complexity'.
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