Evidence map›Paper›PMID 41639670›Full record

ArticleBMC biology2026

Computational design of constitutively active mutants of Dopamine D2 receptor inspired by ligand-independent activation mechanisms.

Yue Chen, Marcus Saarinen, Akshay Naraine, Jens Carlsson, Per Svenningsson, Lucie Delemotte

Abstract read
In one paragraph

Article in BMC biology, 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
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0citing papers in PubMed
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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

6 authors.

Yue ChenScience for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, SE-12121, Sweden.
Marcus SaarinenDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, SE-171 76, Sweden.
Akshay NaraineDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, SE-171 76, Sweden.
Jens CarlssonScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, SE-751 24, Sweden.
Per SvenningssonDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, SE-171 76, Sweden.
Lucie DelemotteScience for Life Laboratory, Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, SE-12121, Sweden. lucied@kth.se.

Funding

Knut och Alice Wallenbergs Stiftelse (2019.0130Vetenskapsrådet VR 2019 - 02433 and 2022-04305
6 · The paper itself

Abstract

backgroundG protein-coupled receptors (GPCRs) can signal in the absence of agonists through constitutive activity. This activity can be enhanced by mutations, resulting in receptors known as constitutively active mutants (CAMs). Such receptors are implicated in various physiological and pathophysiological conditions, and also offer significant therapeutic potential. However, the molecular basis of their constitutive activity remains unknown.

resultsTo investigate how CAMs affect receptor activation, we employed enhanced sampling simulations to study the dopamine D2 receptor (D2R), a key target in central nervous system therapies. Free energy landscape analyses revealed that CAMs promote a conformational shift favoring an active state similar to the agonist-bound receptor. To then identify novel CAMs, we developed a comprehensive strategy combining structural comparison, in-silico residue scanning, and free energy calculations, validated by luminescence-complementation-based assays. Applied to D2R, this approach uncovered a new single-point CAM, D2R-I48

conclusionsThis study elucidates how CAMs reshape the activation landscape of D2R and establishes a broadly applicable computational-experimental framework for discovering constitutively active GPCR variants. These CAMs provide valuable ligand-independent models for probing receptor activation mechanisms at structural, cellular, and physiological levels.

Indexed as

MutationReceptors, Dopamine D2HumansLigandsLigandsReceptors, Dopamine D2Allosteric signalingConstitutively active mutantEnhanced sampling simulationsFree energy calculationG protein-coupled receptor

Identifiers

PMID41639670
PMCPMC12930580

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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.