Enzyme discovery and design for sweet advances in glycobiotechnology

Abstract

Aptamers are mainly selected by in vitro selection using random nucleic acid libraries. These aptamers have often shown insufficient affinity for biomedical applications. We improved DNA aptamer binding affinity for vascular endothelial growth factor (VEGF) through in silico maturation (ISM) and aptamer multimerization. ISM is one of a number of evolutionary approaches and aptamer multimerization is one of several semi-rational strategies to improve function. We first reselected VEGF-binding aptamers using a partially randomized DNA library and identified two aptamers with higher binding ability than that of a known aptamer. We conducted ISM using the re-selected aptamers to optimize the key loop sequences created by a three-way junction structure. After five ISM rounds, we identified aptamer 2G19 [dissociation constant (Kd), 52 nM] as a local optimum of the defined search space. We characterized the aptamer and found that a specific stem-loop structure was involved in aptamer VEGF recognition. To further improve its affinity for VEGF, we multimerized 2G19 or its stem-loop structure. The designed SL5-trivalent aptamer (Kd, 0.37 nM) with three binding motifs significantly increased binding affinity, representing a 500-fold improvement from systematic evolution of ligands by exponential enrichment-selected aptamers.