Engineering of soluble bacteriorhodopsin

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.

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Publication Details

Journal
Chemical Science
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sc02453f
Citations
1
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
0.91

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article

Engineering of soluble bacteriorhodopsin

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1 citations
Chemical Science
Photoreceptor and optogenetics research
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article

Engineering of soluble bacteriorhodopsin

Ivan Gushchin, Oleg Semenov, Elizaveta Kuznetsova, Alina Remeeva, Fedor Tsybrov, Valentin Borshchevskiy, Arina A. Anuchina, Anatolii Mikhailov, Ivan Kapranov, Alexander Kuzmin, Igor Chizhov, Yulia S. Nikolaeva, Andrey Nikolaev, Pavel Shishkin, Yaroslav Orlov
article en
1 citations

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.

Chemical ScienceVol. 16(24)
Moscow Institute of Physics and Technology (RU)
Salt Science Research Foundation, Russian Science Foundation, Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 27%
Photoreceptor and optogenetics research
0.91
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