Evidence map›Paper›PMID 40406218›Full record

ArticleChemical science2025

Engineering of soluble bacteriorhodopsin.

Andrey Nikolaev, Yaroslav Orlov, Fedor Tsybrov, Elizaveta Kuznetsova, Pavel Shishkin, Alexander Kuzmin, Anatolii Mikhailov, Yulia S Nikolaeva, Arina Anuchina, Igor Chizhov and 5 more

Abstract read
In one paragraph

Article in Chemical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

15 authors.

Andrey NikolaevResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Yaroslav OrlovResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Fedor TsybrovResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.ORCID https://orcid.org/0000-0001-7422-0899
Elizaveta KuznetsovaResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Pavel ShishkinResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Alexander KuzminResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Anatolii MikhailovResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Yulia S NikolaevaResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Arina AnuchinaResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Igor ChizhovResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Oleg SemenovResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.ORCID https://orcid.org/0000-0001-9470-0013
Ivan KapranovResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.
Valentin BorshchevskiyResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.ORCID https://orcid.org/0000-0003-4398-9712
Alina RemeevaResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.ORCID https://orcid.org/0000-0003-3977-3679
Ivan GushchinResearch Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia ivan.gushchin@phystech.edu.ORCID https://orcid.org/0000-0002-5348-6070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies and applications of membrane proteins remain challenging due to the requirement of maintaining them in a lipid membrane or a membrane mimic. Modern machine learning-based protein engineering methods offer a possibility of generating soluble analogs of membrane proteins that retain the active site structure and ligand-binding properties; however, clear examples are currently missing. Here, we report successful engineering of proteins dubbed NeuroBRs that mimic the active site (retinal-binding pocket) of bacteriorhodopsin, a light-driven proton pump and well-studied model membrane protein. NeuroBRs are soluble and stable, bind retinal and exhibit photocycles under illumination. The crystallographic structure of NeuroBR_A, determined at anisotropic resolution reaching 1.76 Å, reveals an excellently conserved chromophore binding pocket and tertiary structure. Thus, NeuroBRs are promising microbial rhodopsin mimics for studying retinal photochemistry and potential soluble effector modules for optogenetic tools. Overall, our results highlight the power of modern protein engineering approaches and pave the way towards wider development of molecular tools derived from membrane proteins.

Identifiers

PMID40406218
PMCPMC12094106

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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.