Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies

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Standard

Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies. / Hu, Hongxia; Kofoed, Christian; Li, Ming; Gonçalves, Juliana Pereira Lopes; Hansen, Jonas; Wolfram, Martin; Hansen, Axel Kornerup; Friis Hansen, Camilla Hartmann; Diness, Frederik; Schoffelen, Sanne; Meldal, Morten.

I: ACS Central Science, Bind 5, Nr. 2, 27.02.2019, s. 259-269.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hu, H, Kofoed, C, Li, M, Gonçalves, JPL, Hansen, J, Wolfram, M, Hansen, AK, Friis Hansen, CH, Diness, F, Schoffelen, S & Meldal, M 2019, 'Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies', ACS Central Science, bind 5, nr. 2, s. 259-269. https://doi.org/10.1021/acscentsci.8b00614

APA

Hu, H., Kofoed, C., Li, M., Gonçalves, J. P. L., Hansen, J., Wolfram, M., Hansen, A. K., Friis Hansen, C. H., Diness, F., Schoffelen, S., & Meldal, M. (2019). Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies. ACS Central Science, 5(2), 259-269. https://doi.org/10.1021/acscentsci.8b00614

Vancouver

Hu H, Kofoed C, Li M, Gonçalves JPL, Hansen J, Wolfram M o.a. Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies. ACS Central Science. 2019 feb. 27;5(2):259-269. https://doi.org/10.1021/acscentsci.8b00614

Author

Hu, Hongxia ; Kofoed, Christian ; Li, Ming ; Gonçalves, Juliana Pereira Lopes ; Hansen, Jonas ; Wolfram, Martin ; Hansen, Axel Kornerup ; Friis Hansen, Camilla Hartmann ; Diness, Frederik ; Schoffelen, Sanne ; Meldal, Morten. / Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies. I: ACS Central Science. 2019 ; Bind 5, Nr. 2. s. 259-269.

Bibtex

@article{a40494054af14ae1b68baa39a60cdd0f,
title = "Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies",
abstract = "The development of recognition molecules with antibody-like properties is of great value to the biotechnological and bioanalytical communities. The recognition molecules presented here are peptides with a strong tendency to form β-hairpin structures, stabilized by alternate threonines, which are located at one face of the peptide. Amino acids at the other face of the peptide are available for interaction with the target molecule. Using this scaffold, we demonstrate that recognition molecules can efficiently be designed in silico toward four structurally unrelated proteins, GFP, IL-1β, IL-2, and IL-6. On solid support, 10 different antibody-mimetic recognition molecules were synthesized. They displayed high affinity and no cross-reactivity, as observed by fluorescence microscopy. Stabilized variants were readily obtained by incorporation of azido acids and propargylglycine followed by cyclization via the Cu(I)-catalyzed alkyne-azide cycloaddition reaction. As this new class of antibody mimics can be designed toward essentially any protein, the concept is believed to be useful to a wide range of technologies. Here, their use in protein separation and in the detection of proteins in a sandwich-type assay is demonstrated.",
author = "Hongxia Hu and Christian Kofoed and Ming Li and Gon{\c c}alves, {Juliana Pereira Lopes} and Jonas Hansen and Martin Wolfram and Hansen, {Axel Kornerup} and {Friis Hansen}, {Camilla Hartmann} and Frederik Diness and Sanne Schoffelen and Morten Meldal",
year = "2019",
month = feb,
day = "27",
doi = "10.1021/acscentsci.8b00614",
language = "English",
volume = "5",
pages = "259--269",
journal = "A C S Central Science",
issn = "2374-7943",
publisher = "American Chemical Society",
number = "2",

}

RIS

TY - JOUR

T1 - Computational Evolution of Threonine-Rich β-Hairpin Peptides Mimicking Specificity and Affinity of Antibodies

AU - Hu, Hongxia

AU - Kofoed, Christian

AU - Li, Ming

AU - Gonçalves, Juliana Pereira Lopes

AU - Hansen, Jonas

AU - Wolfram, Martin

AU - Hansen, Axel Kornerup

AU - Friis Hansen, Camilla Hartmann

AU - Diness, Frederik

AU - Schoffelen, Sanne

AU - Meldal, Morten

PY - 2019/2/27

Y1 - 2019/2/27

N2 - The development of recognition molecules with antibody-like properties is of great value to the biotechnological and bioanalytical communities. The recognition molecules presented here are peptides with a strong tendency to form β-hairpin structures, stabilized by alternate threonines, which are located at one face of the peptide. Amino acids at the other face of the peptide are available for interaction with the target molecule. Using this scaffold, we demonstrate that recognition molecules can efficiently be designed in silico toward four structurally unrelated proteins, GFP, IL-1β, IL-2, and IL-6. On solid support, 10 different antibody-mimetic recognition molecules were synthesized. They displayed high affinity and no cross-reactivity, as observed by fluorescence microscopy. Stabilized variants were readily obtained by incorporation of azido acids and propargylglycine followed by cyclization via the Cu(I)-catalyzed alkyne-azide cycloaddition reaction. As this new class of antibody mimics can be designed toward essentially any protein, the concept is believed to be useful to a wide range of technologies. Here, their use in protein separation and in the detection of proteins in a sandwich-type assay is demonstrated.

AB - The development of recognition molecules with antibody-like properties is of great value to the biotechnological and bioanalytical communities. The recognition molecules presented here are peptides with a strong tendency to form β-hairpin structures, stabilized by alternate threonines, which are located at one face of the peptide. Amino acids at the other face of the peptide are available for interaction with the target molecule. Using this scaffold, we demonstrate that recognition molecules can efficiently be designed in silico toward four structurally unrelated proteins, GFP, IL-1β, IL-2, and IL-6. On solid support, 10 different antibody-mimetic recognition molecules were synthesized. They displayed high affinity and no cross-reactivity, as observed by fluorescence microscopy. Stabilized variants were readily obtained by incorporation of azido acids and propargylglycine followed by cyclization via the Cu(I)-catalyzed alkyne-azide cycloaddition reaction. As this new class of antibody mimics can be designed toward essentially any protein, the concept is believed to be useful to a wide range of technologies. Here, their use in protein separation and in the detection of proteins in a sandwich-type assay is demonstrated.

U2 - 10.1021/acscentsci.8b00614

DO - 10.1021/acscentsci.8b00614

M3 - Journal article

C2 - 30834314

AN - SCOPUS:85061225946

VL - 5

SP - 259

EP - 269

JO - A C S Central Science

JF - A C S Central Science

SN - 2374-7943

IS - 2

ER -

ID: 231361390