Back

Coordinated subpocket engagement underlies nitazene potency at the μ-opioid receptor.

Robinson, M. J.; Chen, L.; Thakur, A.; Lee, K.-H.; Shi, L.

2026-04-29 molecular biology
10.64898/2026.04.27.721072 bioRxiv
Show abstract

Nitazenes are emerging synthetic opioids that exhibit exceptionally high potency at the {micro}-opioid receptor (MOR) and contribute to rising overdose fatalities worldwide. Despite extensive in vitro profiling, the structural determinants underlying their structure-activity relationships (SARs) remain unresolved. Here, we combine functional profiling with quantum mechanical calculations and molecular dynamics (MD) simulations to establish a MOR structure-based SAR for nitazenes. Across functional assays, systematic variation at the R1, R2, and R3 positions revealed non-additive effects on potency and identified optimal R1 chain length, R2 N-desethylation, and retention of the 5-nitro group as key determinants of high MOR potency. Consistent with this framework, N-desethyl isotonitazene emerged as the most potent analogue. Structural analysis of the cryo-EM MOR-Gi-fluornitrazene complex, together with MD simulations of multiple nitazene analogues, revealed a conserved trivalent binding architecture in which each substituent engages distinct subpockets. N-desethylation at R2 increases the positive electrostatic surface at the protonated amine, reduces steric constraints near transmembrane helix (TM) 7, strengthens R3 interactions, and allosterically modulates R1 engagement in a substituent-dependent manner. Additionally, optimal R1 chain length and shape stabilize the TM5-TM6 interface and influence activation-relevant TM6 dynamics, defining a unified SAR at R1 across nitazene and fentanyl scaffolds. Together, these findings indicate that nitazene potency reflects substituent-dependent coupling among R1, R2, and R3 within the MOR binding pocket, with R3 engagement distinguishing nitazenes from fentanyl. This framework establishes a coherent structural model of nitazene-MOR recognition that accounts for their unusually high potency and efficacy.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 1%
27.8%
2
The Lancet Infectious Diseases
71 papers in training set
Top 0.3%
7.2%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 11%
6.4%
4
Journal of the American Chemical Society
199 papers in training set
Top 1%
4.9%
5
eLife
5422 papers in training set
Top 21%
4.2%
50% of probability mass above
6
Advanced Science
249 papers in training set
Top 5%
3.6%
7
ACS Central Science
66 papers in training set
Top 0.4%
3.6%
8
Nature Chemical Biology
104 papers in training set
Top 0.7%
3.6%
9
Cell Chemical Biology
81 papers in training set
Top 0.7%
3.6%
10
Science Advances
1098 papers in training set
Top 9%
2.8%
11
Cell Reports
1338 papers in training set
Top 19%
2.6%
12
Science
429 papers in training set
Top 11%
2.5%
13
Nature Structural & Molecular Biology
218 papers in training set
Top 2%
2.1%
14
Cell Discovery
54 papers in training set
Top 2%
1.9%
15
Structure
175 papers in training set
Top 2%
1.5%
16
Nucleic Acids Research
1128 papers in training set
Top 13%
1.3%
17
Angewandte Chemie
12 papers in training set
Top 0.1%
1.2%
18
Communications Biology
886 papers in training set
Top 18%
0.9%
19
Chemical Science
71 papers in training set
Top 2%
0.9%
20
Nature
575 papers in training set
Top 15%
0.8%
21
Nature Biotechnology
147 papers in training set
Top 8%
0.8%
22
Journal of Medicinal Chemistry
68 papers in training set
Top 1%
0.6%
23
JACS Au
35 papers in training set
Top 1%
0.6%
24
Nature Chemistry
34 papers in training set
Top 1%
0.6%
25
Angewandte Chemie International Edition
81 papers in training set
Top 4%
0.5%
26
Molecular Cell
308 papers in training set
Top 12%
0.5%
27
Cell
370 papers in training set
Top 20%
0.5%
28
Journal of Clinical Investigation
164 papers in training set
Top 9%
0.5%
29
Cell Stem Cell
57 papers in training set
Top 3%
0.5%
30
Cell Research
49 papers in training set
Top 3%
0.5%