Hierarchically Imprinted Polymer For Peptide Tag Recognition Based On An Oriented Surface Epitope Approach

ACS APPLIED MATERIALS & INTERFACES(2020)

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摘要
FLAG tag (DYKDDDDK) is a short peptide commonly used for the purification of recombinant proteins. The high price of the affinity columns and their limited reusability are a shortcoming for their widespread use in biotechnology applications. Molecularly imprinted polymers (MIPs) can circumvent some of the limitations of bioaffinity columns for such applications, including long-term stability, reusability, and cost. We report herein the synthesis of MIPs selective to the FLAG tag by hierarchical imprinting. Using the epitope imprinting approach, a 5-amino acid peptide DYKDC was selected as a template and was covalently immobilized on the surface of microporous silica beads, previously functionalized with different aminosilanes, namely, 3-(2-aminoethylamino)propyldimethoxymethylsilane, AEAPMS, and N-(2-aminoethyl)-2,2,4-trimethyl-1-aza-2-silacyclopentane, AETAZS. We investigated the effect of the type of silane on the production of homogeneous silane-grafted layers with the highest extent of silanol condensation as possible using Si-29 CP/MAS NMR. We observed that the right orientation of the imprinted cavities can substantially improve analyte recoveries from the MIP. After template and silica removal, the DYKDC-MIPs were used as sorbents for solid-phase extraction (molecularly imprinted solid-phase extraction) of the FLAG peptide, showing that the polymer prepared with AETAZS-bound silica beads contained binding sites more selective to the tag (RMIP-AZA = 87.4% vs RNIP-AZA = 4.1%, n = 3, RSD = 4.2%) than those prepared using AEAPMS (RMIP-DM = 73.4% vs RNIP-DM = 23.2%, n = 3, RSD = 4.0%) as a functionalization agent. An extensive computational molecular modeling study was also conducted, shedding some light on the interaction mechanism between the FLAG peptide and the imprinted template in the binding cavities.
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关键词
epitope imprinting, FLAG tag, hierarchically imprinted polymer, silane grafting, computational modeling
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