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Increasing the affinity of an O-Antigen polysaccharide binding site in Shigella flexneri bacteriophage Sf6 tailspike protein

  • Broad and unspecific use of antibiotics accelerates spread of resistances. Sensitive and robust pathogen detection is thus important for a more targeted application. Bacteriophages contain a large repertoire of pathogen-binding proteins. These tailspike proteins (TSP) often bind surface glycans and represent a promising design platform for specific pathogen sensors. We analysed bacteriophage Sf6 TSP that recognizes the O-polysaccharide of dysentery-causing Shigella flexneri to develop variants with increased sensitivity for sensor applications. Ligand polyrhamnose backbone conformations were obtained from 2D H-1,H-1-trNOESY NMR utilizing methine-methine and methine-methyl correlations. They agreed well with conformations obtained from molecular dynamics (MD), validating the method for further predictions. In a set of mutants, MD predicted ligand flexibilities that were in good correlation with binding strength as confirmed on immobilized S. flexneri O-polysaccharide (PS) with surface plasmon resonance. In silico approaches combinedBroad and unspecific use of antibiotics accelerates spread of resistances. Sensitive and robust pathogen detection is thus important for a more targeted application. Bacteriophages contain a large repertoire of pathogen-binding proteins. These tailspike proteins (TSP) often bind surface glycans and represent a promising design platform for specific pathogen sensors. We analysed bacteriophage Sf6 TSP that recognizes the O-polysaccharide of dysentery-causing Shigella flexneri to develop variants with increased sensitivity for sensor applications. Ligand polyrhamnose backbone conformations were obtained from 2D H-1,H-1-trNOESY NMR utilizing methine-methine and methine-methyl correlations. They agreed well with conformations obtained from molecular dynamics (MD), validating the method for further predictions. In a set of mutants, MD predicted ligand flexibilities that were in good correlation with binding strength as confirmed on immobilized S. flexneri O-polysaccharide (PS) with surface plasmon resonance. In silico approaches combined with rapid screening on PS surfaces hence provide valuable strategies for TSP-based pathogen sensor design.show moreshow less

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Metadaten
Author details:Ruth Sonja KunstmannORCiDGND, Olof Engström, Marko WehleGND, Göran Widmalm, Mark Santer, Stefanie BarbirzORCiDGND
URN:urn:nbn:de:kobv:517-opus4-519418
DOI:https://doi.org/10.25932/publishup-51941
ISSN:1866-8372
Title of parent work (German):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (1417)
Publication type:Postprint
Language:English
Date of first publication:2020/05/19
Publication year:2020
Publishing institution:Universität Potsdam
Release date:2024/03/06
Tag:NMR spectroscopy; carbohydrates; molecular dynamics simulations; protein-carbohydrate interactions; surface plasmon resonance
Issue:32
Number of pages:13
Source:Chem. Eur. J. 2020, 26, 7263. https://doi.org/10.1002/chem.202000495
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC classification:5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Peer review:Referiert
Publishing method:Open Access / Green Open-Access
License (German):License LogoCC-BY-NC - Namensnennung, nicht kommerziell 4.0 International
External remark:Bibliographieeintrag der Originalveröffentlichung/Quelle
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