Structure based discovery of antipsychotic-like TAAR1 agonists

Abstract Schizophrenia is a severe mental illness whose current treatments primarily target dopamine and serotonin receptors. These drugs often cause side effects and vary in effectiveness across patients. The trace amine-associated receptor 1 (TAAR1), which modulates monoamine signaling, has emerged as a promising alternative target. To discover previously unexplored TAAR1 ligands, we computationally dock 65 million molecules against the active state of TAAR1 and experimentally test 55 of those highly ranked. Fourteen TAAR1 agonists emerge with potencies ranging from mid-nanomolar to micromolar. This high functional selectivity may reflect the compact conformation adopted by the activated TAAR1 orthosteric site. While this is favorable for agonist prioritization, simulations suggest that it can be over-optimized for initial hit rates at the expense of subsequent affinity maturation. Hit optimization yields nanomolar agonists whose docking-predicted poses are confirmed by cryo-EM. Three agonists have high brain exposure and potencies, with one compound showing potency comparable to the investigational drug ulotaront and two compounds exhibiting even greater potency, at levels sufficient for behavioral studies. All three potently normalize amphetamine-induced pre-pulse inhibition in mice, a model for schizophrenia, without catalepsy, a common side effect of traditional antipsychotics.

Authors

Publication Details

Journal
Nature Communications
Published
2026-09-17
DOI
https://doi.org/10.1038/s41467-026-77484-2
Primary Topic
Neurotransmitter Receptor Influence on Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Structure based discovery of antipsychotic-like TAAR1 agonists

Yurii S. Moroz, Allan I. Basbaum, Brian K. Shoichet, William C. Wetsel et al.
Nature Communications
Neurotransmitter Receptor Influence on Behavior
article

Structure based discovery of antipsychotic-like TAAR1 agonists

Yurii S. Moroz, Allan I. Basbaum, Brian K. Shoichet, William C. Wetsel, H. Eric Xu, Dmytro S. Radchenko, John J. Irwin, Heng Liu, Sijie Huang, Joao Bráz, Brendan W. Hall, Divya Kranthi, Yujin Wu, Xinyue Zhang
article en

Abstract

Abstract Schizophrenia is a severe mental illness whose current treatments primarily target dopamine and serotonin receptors. These drugs often cause side effects and vary in effectiveness across patients. The trace amine-associated receptor 1 (TAAR1), which modulates monoamine signaling, has emerged as a promising alternative target. To discover previously unexplored TAAR1 ligands, we computationally dock 65 million molecules against the active state of TAAR1 and experimentally test 55 of those highly ranked. Fourteen TAAR1 agonists emerge with potencies ranging from mid-nanomolar to micromolar. This high functional selectivity may reflect the compact conformation adopted by the activated TAAR1 orthosteric site. While this is favorable for agonist prioritization, simulations suggest that it can be over-optimized for initial hit rates at the expense of subsequent affinity maturation. Hit optimization yields nanomolar agonists whose docking-predicted poses are confirmed by cryo-EM. Three agonists have high brain exposure and potencies, with one compound showing potency comparable to the investigational drug ulotaront and two compounds exhibiting even greater potency, at levels sufficient for behavioral studies. All three potently normalize amphetamine-induced pre-pulse inhibition in mice, a model for schizophrenia, without catalepsy, a common side effect of traditional antipsychotics.

Nature Communications
Good health and well-being
Openalex Percentile: Top 16%
Neurotransmitter Receptor Influence on Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.