Evidence map›Paper›PMID 42243110›Full record

ArticleNature communications2026

Structural dynamics of kappa opioid receptor interactions with β-arrestin 1.

Jianming Han, Eve J Fine, Qianru Jiang, Yuxuan Zhuang, Carl-Mikael Suomivuori, Zi-Wei Chen, Elizabeth Denn, Kyle Whiddon, Kunpeng Li, Alex S Evers and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jianming HanCenter for Clinical Pharmacology, Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA. jianming@wustl.edu.ORCID http://orcid.org/0009-0000-9929-750X
Eve J FineDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7404-897X
Qianru JiangCenter for Clinical Pharmacology, Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
Yuxuan ZhuangDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4390-8556
Carl-Mikael SuomivuoriDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2445-8791
Zi-Wei ChenDivision of Basic Research, Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
Elizabeth DennCenter for Clinical Pharmacology, Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.
Kyle WhiddonDepartment of Pharmacology, Case Western Reserve University, Cleveland, OH, USA.
Kunpeng LiDepartment of Pharmacology, Case Western Reserve University, Cleveland, OH, USA.
Alex S EversDivision of Basic Research, Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-0342-0575
James FullerHelix Biostructures, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-9029-0923
Joshua CarterHelix Biostructures, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0001-7322-349X
Jonathan F FayDepartment of Biochemistry and Molecular Biology, University of Maryland Baltimore, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-1822-2384
Muyuan ChenSLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA.ORCID http://orcid.org/0000-0003-1311-7868
Ron O DrorDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6418-2793
Tao CheCenter for Clinical Pharmacology, Department of Anesthesiology, Washington University School of Medicine, Saint Louis, MO, USA. taoche@wustl.edu.ORCID http://orcid.org/0000-0002-1620-3027

Funding

Structural Determinants of Kappa Opioid Receptor SignalingR35GM143061 · NIGMS · WASHINGTON UNIVERSITY · PI Tao Che · 2021 to 2026
$2.1M
Mechanisms and Regulations of kappa Opioid Receptor SignalingR01DA058020 · NIDA · WASHINGTON UNIVERSITY · PI Tao Che · 2024 to 2026
$1.4M
NIDA NIH HHS R01 DA058020NIGMS NIH HHS R35 GM143061U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM143061U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) R01DA058020
6 · The paper itself

Abstract

Opioid receptors signal through Gi/o protein and β-arrestin pathways that mediate distinct effects of opiate drugs. While opioid binding and G protein activation are well studied, β-arrestin recruitment remains poorly understood. Here, we determine the complex structure of the kappa opioid receptor (KOR) with β-arrestin1 (βarr1) at 2.60 Å resolution using cryogenic electron microscopy. Structural and mass spectrometry analyses reveal multiple phosphorylation sites and a phospholipid-binding site that specifically enhances arrestin recruitment. The KOR-βarr1 complex adopts a core interaction and exhibits notable differences from other GPCR-βarr1 complexes. Comparisons with the structures of KOR-Nb39 and KOR-Gi1 complexes also reveal distinct structural features in the orthosteric binding site and the KOR-transducer interface that affect signaling bias. Using extensive 3D variation analysis and molecular dynamics simulations, we identify a range of conformational dynamics in both the receptor and βarr1, suggesting an allosteric pathway for arrestin's entry and exit.

Indexed as

beta-Arrestin 1Receptors, Opioid, kappaAnimalsBinding SitesCryoelectron MicroscopyHEK293 CellsHumansMolecular Dynamics SimulationPhosphorylationProtein BindingProtein ConformationSignal Transductionbeta-Arrestin 1Receptors, Opioid, kappa

Identifiers

PMID42243110
PMCPMC13396682

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.