Xiu Yu, Zhang Ni, Prabhakaran Pranesha, Jang Sungho, Yuan Qipeng, Breneman Curt M, Jung Gyoo Yeol, Vongsangnak Wanwipa, Koffas Mattheos A G
Beijing Key Laboratory of Bioactive Substances and Functional Food, Beijing Union University, Beijing, 100029, China.
Department of Chemical and Biological Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
Synth Syst Biotechnol. 2022 Aug 18;7(4):1148-1158. doi: 10.1016/j.synbio.2022.07.006. eCollection 2022 Dec.
A parallel screening of 27 different flavonoids and chalcones was conducted using 6 artificial naringenin-activated riboswitches (M1, M2, M3, O, L and H). A quantitative structure-property relationship approach was applied to understand the physicochemical properties of the flavonoid structures resulting in specificity differences relied on the fluorescence intensity of a green fluorescent protein reporter. Robust models of riboswitches M1, M2 and O that had good predictive power were constructed with descriptors selected for their high correlation. Increased electronegativity and hydrophilicity of the flavonoids structures were identified as two properties that increased binding affinity to RNA riboswitches. Hydroxyl groups at the C-3' and C-4' positions of the flavonoid molecule were strictly required for ligand-activation with riboswitches M1 and M2. Riboswitches O and L preferred multi-hydroxylated flavones as ligands. Substitutions on the A ring of the flavonoid molecule were not important in the molecular recognition process. -glycosylated derivatives were not recognized by any of the riboswitches, presumably due to steric hindrances. Despite the challenges of detecting RNA conformational change after ligand binding, the resulting models elucidate important physicochemical features in the ligands for conformational structural studies of artificial aptamer complexes and for design of ligands having higher binding specificity.
使用6种人工柚皮素激活的核糖开关(M1、M2、M3、O、L和H)对27种不同的黄酮类化合物和查耳酮进行了平行筛选。应用定量构效关系方法来了解黄酮类化合物结构的物理化学性质,其特异性差异取决于绿色荧光蛋白报告基因的荧光强度。利用相关性高的描述符构建了具有良好预测能力的核糖开关M1、M2和O的稳健模型。黄酮类化合物结构中电负性和亲水性的增加被确定为增加与RNA核糖开关结合亲和力的两个性质。黄酮类分子C-3'和C-4'位的羟基是核糖开关M1和M2激活配体所必需的。核糖开关O和L更喜欢多羟基化黄酮作为配体。黄酮类分子A环上的取代在分子识别过程中并不重要。β-糖基化衍生物未被任何核糖开关识别,可能是由于空间位阻。尽管在检测配体结合后RNA构象变化方面存在挑战,但所得模型阐明了配体中重要的物理化学特征,用于人工适配体复合物的构象结构研究以及设计具有更高结合特异性的配体。