Literature DB >> 34208740

Structural Analysis of a Genetically Encoded FRET Biosensor by SAXS and MD Simulations.

Ines Reinartz1,2, Mona Sarter3,4, Julia Otten5, Henning Höfig3,6, Martina Pohl5, Alexander Schug7,8, Andreas M Stadler4,9, Jörg Fitter3,6.   

Abstract

Inspired by the modular architecture of natural signaling proteins, ligand binding proteins are equipped with two fluorescent proteins (FPs) in order to obtain Förster resonance energy transfer (FRET)-based biosensors. Here, we investigated a glucose sensor where the donor and acceptor FPs were attached to a glucose binding protein using a variety of different linker sequences. For three resulting sensor constructs the corresponding glucose induced conformational changes were measured by small angle X-ray scattering (SAXS) and compared to recently published single molecule FRET results (Höfig et al., ACS Sensors, 2018). For one construct which exhibits a high change in energy transfer and a large change of the radius of gyration upon ligand binding, we performed coarse-grained molecular dynamics simulations for the ligand-free and the ligand-bound state. Our analysis indicates that a carefully designed attachment of the donor FP is crucial for the proper transfer of the glucose induced conformational change of the glucose binding protein into a well pronounced FRET signal change as measured in this sensor construct. Since the other FP (acceptor) does not experience such a glucose induced alteration, it becomes apparent that only one of the FPs needs to have a well-adjusted attachment to the glucose binding protein.

Entities:  

Keywords:  coarse-grained molecular dynamics (MD); glucose sensor; green fluorescence protein (GFP); single-molecule FRET; small angle X-ray scattering (SAXS)

Year:  2021        PMID: 34208740     DOI: 10.3390/s21124144

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

Review 1.  Biophysical Approaches for the Characterization of Protein-Metabolite Interactions.

Authors:  Anja Thalhammer; Nina K Bröker
Journal:  Methods Mol Biol       Date:  2023

2.  Development of a Real-Time Pectic Oligosaccharide-Detecting Biosensor Using the Rapid and Flexible Computational Identification of Non-Disruptive Conjugation Sites (CINC) Biosensor Design Platform.

Authors:  Dustin D Smith; Joshua P King; D Wade Abbott; Hans-Joachim Wieden
Journal:  Sensors (Basel)       Date:  2022-01-26       Impact factor: 3.576

  2 in total

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