AI-derived therapeutic development of a serotonin receptor–targeting drug for the treatment of opioid use disorder

The opioid epidemic has led to a devastating loss of life nationwide. Of those dependent on opioids, many individuals desire to quit or reduce use, but their efforts are often unsuccessful given the powerful reinforcing properties associated with opioid drugs, including fentanyl. Here, we developed a therapeutic drug based on an AI-based platform, which was rationally designed to identify markers of dysregulation from human drug user postmortem brain tissue. Two top candidate compounds, GATC-021 and GATC-1021, were synthesized and validated with in vitro screening for target specificity. Thereafter, the drug candidates were examined for their effectiveness in modulating opioid reinforcement and intake. GATC-1021 emerged as the most efficacious compound as it significantly decreased fentanyl intake in both male and female rats, without any notable side effects. GATC-1021 was further found to modulate gene expression patterns in addiction-relevant brain regions following fentanyl-induced alterations. These findings validate GATC's AI-based platform with its polypharmacy-focused drug development approach and further support the clinical potential of GATC-1021 as a promising therapeutic for those suffering from opioid use disorder.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-04-06
DOI
https://doi.org/10.1073/pnas.2516807123
Primary Topic
Neurotransmitter Receptor Influence on Behavior
Type
article
Field-Weighted Citation Impact
0.00

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article

AI-derived therapeutic development of a serotonin receptor–targeting drug for the treatment of opioid use disorder

Jonathan R. T. Lakey, Kevin Z. Wang, Ian D. Jenkins, Malia Bautista et al.
Proceedings of the National Academy of Sciences
Neurotransmitter Receptor Influence on Behavior
article

AI-derived therapeutic development of a serotonin receptor–targeting drug for the treatment of opioid use disorder

Jonathan R. T. Lakey, Kevin Z. Wang, Ian D. Jenkins, Malia Bautista, Dhanaji M. Lade, Waldemar Lernhardt, Christie D. Fowler, Arturo R. Zavala, Valeria Lallai, Allison S. Mogul, Robert Tinder, Jinjutha E. Cheepluesak, Saman Mirzaei, Samuel C. Kho, James P. Fowler, Kendyl N. Laumann, Jayson Uffens, A. C. Martin, Vaishnavi Narayan, Tyler G. Morrison, Mina Palaniappan, Madison L. Roach, Bijay Shrestha, Julia E. Lagomarsino
article en

Abstract

The opioid epidemic has led to a devastating loss of life nationwide. Of those dependent on opioids, many individuals desire to quit or reduce use, but their efforts are often unsuccessful given the powerful reinforcing properties associated with opioid drugs, including fentanyl. Here, we developed a therapeutic drug based on an AI-based platform, which was rationally designed to identify markers of dysregulation from human drug user postmortem brain tissue. Two top candidate compounds, GATC-021 and GATC-1021, were synthesized and validated with in vitro screening for target specificity. Thereafter, the drug candidates were examined for their effectiveness in modulating opioid reinforcement and intake. GATC-1021 emerged as the most efficacious compound as it significantly decreased fentanyl intake in both male and female rats, without any notable side effects. GATC-1021 was further found to modulate gene expression patterns in addiction-relevant brain regions following fentanyl-induced alterations. These findings validate GATC's AI-based platform with its polypharmacy-focused drug development approach and further support the clinical potential of GATC-1021 as a promising therapeutic for those suffering from opioid use disorder.

Proceedings of the National Academy of SciencesVol. 123(15)
West Virginia University (US), California State University System (US), Global Aerospace (United States) (US)
Tobacco-Related Disease Research Program, National Institute on Drug Abuse
Good health and well-being
Openalex Percentile: Top 22%
Neurotransmitter Receptor Influence on Behavior
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