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Integrated approaches toward high-affinity artificial protein binders obtained via computationally simulated epitopes for protein recognition

  • Widely used diagnostic tools make use of antibodies recognizing targeted molecules, but additional techniques are required in order to alleviate the disadvantages of antibodies. Herein, molecular dynamic calculations are performed for the design of high affinity artificial protein binding surfaces for the recognition of neuron specific enolase (NSE), a known cancer biomarker. Computational simulations are employed to identify particularly stabile secondary structure elements. These epitopes are used for the subsequent molecular imprinting, where surface imprinting approach is applied. The molecular imprints generated with the calculated epitopes of greater stability (Cys-Ep1) show better binding properties than those of lower stability (Cys-Ep5). The average binding strength of imprints created with stabile epitopes is found to be around twofold and fourfold higher for the NSE derived peptide and NSE protein, respectively. The recognition of NSE is investigated in a wide concentration range, where high sensitivity (limit of detectionWidely used diagnostic tools make use of antibodies recognizing targeted molecules, but additional techniques are required in order to alleviate the disadvantages of antibodies. Herein, molecular dynamic calculations are performed for the design of high affinity artificial protein binding surfaces for the recognition of neuron specific enolase (NSE), a known cancer biomarker. Computational simulations are employed to identify particularly stabile secondary structure elements. These epitopes are used for the subsequent molecular imprinting, where surface imprinting approach is applied. The molecular imprints generated with the calculated epitopes of greater stability (Cys-Ep1) show better binding properties than those of lower stability (Cys-Ep5). The average binding strength of imprints created with stabile epitopes is found to be around twofold and fourfold higher for the NSE derived peptide and NSE protein, respectively. The recognition of NSE is investigated in a wide concentration range, where high sensitivity (limit of detection (LOD) = 0.5 ng mL(-1)) and affinity (dissociation constant (K-d) = 5.3 x 10(-11)m) are achieved using Cys-Ep1 imprints reflecting the stable structure of the template molecules. This integrated approach employing stability calculations for the identification of stabile epitopes is expected to have a major impact on the future development of high affinity protein capturing binders.show moreshow less

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Metadaten
Author details:Zeynep AltintasORCiD, Aref Takiden, Tillmann Utesch, Maria A. Mroginski, Bianca Schmid, Frieder W. SchellerORCiDGND, Roderich D. SüssmuthORCiDGND
DOI:https://doi.org/10.1002/adfm.201807332
ISSN:1616-301X
ISSN:1616-3028
Title of parent work (English):Advanced functional materials
Publisher:Wiley-VCH
Place of publishing:Weinheim
Publication type:Article
Language:English
Date of first publication:2019/01/25
Publication year:2019
Release date:2021/03/04
Tag:artificial protein binders; cancer markers; computationally simulated epitopes; molecular imprinting; protein recognition
Volume:29
Issue:15
Number of pages:11
Funding institution:European CommissionEuropean Commission Joint Research Centre [10041380]; Marie Curie ActionsEuropean Union (EU); Technical University of Berlin [60320037-12]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Peer review:Referiert
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