# Biasing Mu Opioid Receptor Signaling in vivo

> **NIH NIH R01** · UNIVERSITY OF FLORIDA · 2023 · $456,713

## Abstract

Summary
Prescription opioid narcotics, such as morphine, oxycodone, and fentanyl, produce analgesia and side
effects through activation of the mu opioid receptor (MOR), a G protein coupled receptor (GPCR). Our long-
standing goal is to understand how MOR signals to produce distinct biological effects and to ultimately
influence the development of therapeutics that will take advantage of “good” receptor signaling (pain relief)
and avoid “bad” receptor signaling that leads to unwanted opioid side effects like respiratory suppression and
tolerance. It has become increasingly evident that different drug structures can elicit different receptor
signaling cascades at a single receptor, likely by changing the affinities for association with intracellular
binding partners. Over the past decade, we have developed a series of agonists that act in a manner that
drives G protein signaling downstream of MOR and induce little interactions between the receptor and
arrestin2, a scaffolding protein. Moreover, we have determined that several of these agonists produce
antinociception without inducing respiratory suppression. One compound, SR-17108 has been shown to be
potent and efficacious in a neuropathic pain model where it performed better than oxycodone or morphine.
Chronic treatment with SR-17018 did not lead to tolerance in the mouse models. Extensive biochemical
studies have recently revealed that at least 4 agonists from this class, including SR-17018, are binding to
different sites on the receptor and are therefore noncompetitive or allosteric agonists. In this proposal, we
want to determine if it is this noncompetitive property, or other pharmacological properties that the
compounds possess that confer the favorable physiological profiles. Further, we are seeking to determine
the binding site of these compounds. Since the compounds bind to different sites on the receptor than
conventional opioid drugs, we will ask how the allosteric compounds interact with morphine, fentanyl and
naloxone when administered together.

## Key facts

- **NIH application ID:** 10682557
- **Project number:** 5R01DA038964-07
- **Recipient organization:** UNIVERSITY OF FLORIDA
- **Principal Investigator:** Laura M. Bohn
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $456,713
- **Award type:** 5
- **Project period:** 2015-04-01 → 2027-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10682557

## Citation

> US National Institutes of Health, RePORTER application 10682557, Biasing Mu Opioid Receptor Signaling in vivo (5R01DA038964-07). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10682557. Licensed CC0.

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