Engineering of soluble bacteriorhodopsin.

Pathology Pediatrics
Journal: Chemical science
Published Date:

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.

Authors

  • Andrey Nikolaev
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Yaroslav Orlov
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Fedor Tsybrov
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Elizaveta Kuznetsova
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Pavel Shishkin
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Alexander Kuzmin
  • Anatolii Mikhailov
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Yulia S Nikolaeva
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Arina Anuchina
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Igor Chizhov
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Oleg Semenov
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Ivan Kapranov
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Valentin Borshchevskiy
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Alina Remeeva
    Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology Dolgoprudny Russia [email protected].
  • Ivan Gushchin

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