Integrated Approaches Toward High‐Affinity Artificial Protein Binders Obtained via Computationally Simulated Epitopes for Protein Recognition. (25th January 2019)

• Record Type: Journal Article
• Authors: Altintas, Zeynep; Takiden, Aref; Utesch, Tillmann; Mroginski, Maria A.; Schmid, Bianca; Scheller, Frieder W.; Süssmuth, Roderich D.
• Is Part Of: Advanced functional materials. Volume 29:Number 15(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-01-25
• Subjects: artificial protein binders -- cancer markers -- computationally simulated epitopes -- molecular imprinting -- protein recognition; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adfm.201807332
• Languages: English
• ISSNs: 1616-301X

Abstract

Abstract: 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 detection (LOD) = 0.5 ng mL −1 ) and affinity (dissociation constant ( K d ) = 5.3 × 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. Abstract : Combination of computational and experimental studies to develop high affinity artificial protein binders by targeting a cancer biomarker. Highly stable and least stable epitopes of neuron specific enolase are determined by molecular dynamic calculations, and they are used as templates for molecular imprinting. Molecular imprints created with stable epitopes are used as high affinity protein binders, while unsuitable epitope candidates are eliminated.