Song Menghua, Li Gan, Zhang Qi, Liu Jianping, Huang Qiang
State Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Multiscale Research Institute of Complex Systems, Fudan University, Shanghai 201203, China.
Comput Struct Biotechnol J. 2020 Nov 10;18:3425-3433. doi: 10.1016/j.csbj.2020.10.041. eCollection 2020.
Ligand-binding aptamers obtained by SELEX (Systematic Evolution of Ligands by EXponential enrichment) often have low affinity or/and specificity, and post-SELEX optimization is usually needed. Due to experimental difficulty in determining three-dimensional (3D) structures of aptamer-ligand complexes, there are few structure-guided methods for rational post-SELEX optimization. Here, we employed a de novo optimization approach to engineer high-affinity variants for a G-quadruplex (GQ) aptamer (GO18-T-d) that specifically binds to marine toxin gonyautoxin 1/4 (GTX1/4). First, temperature-dependent modeling was carried out to predict the atomic structure of GO18-T-d. Then, to identify key bases for the optimization, spontaneous binding simulations were performed to reveal the complex structure of GO18-T-d with GTX1/4. Finally, binding energy analysis was conducted to evaluate the designed variants for high affinity. We predicted that GO18-T-d has the typical parallel GQ topology, consistent with circular dichroism (CD) measurements. Our simulations showed that the 5'-end of GO18-T-d hinders the GTX1/4 movement toward the binding pocket, leading to a designed variant that removes the first 5 nucleotides at the 5'-end. Microscale thermophoresis (MST) experiments verified that the binding affinity of the engineered aptamer increases by ~20 folds. Thus, this study not only provides a high-affinity variant of GO18-T-d, but also suggests that our computational approach is useful for the structure-guided optimization of GQ aptamers.
通过指数富集配体系统进化技术(SELEX)获得的配体结合适体通常具有低亲和力或/和特异性,通常需要进行SELEX后优化。由于确定适体-配体复合物三维(3D)结构存在实验困难,用于合理的SELEX后优化的结构导向方法很少。在这里,我们采用了一种从头优化方法来设计一种高亲和力变体,用于一种特异性结合海洋毒素石房蛤毒素1/4(GTX1/4)的G-四链体(GQ)适体(GO18-T-d)。首先,进行了温度依赖性建模以预测GO18-T-d的原子结构。然后,为了确定优化的关键碱基,进行了自发结合模拟以揭示GO18-T-d与GTX1/4的复合物结构。最后,进行结合能分析以评估设计的高亲和力变体。我们预测GO18-T-d具有典型的平行GQ拓扑结构,与圆二色性(CD)测量结果一致。我们的模拟表明,GO18-T-d的5'端阻碍了GTX1/4向结合口袋的移动,从而导致设计出一种去除5'端前5个核苷酸的变体。微量热泳动(MST)实验证实,工程化适体的结合亲和力提高了约20倍。因此,本研究不仅提供了GO18-T-d的高亲和力变体,还表明我们的计算方法可用于GQ适体的结构导向优化。