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Mutated Artificial Genetic Circuit, and Method for Detection and Quantification of Phenolic Compounds Based on Communities of the Circuit and Machine Learning Algorithms

机译:基于电路和机器学习算法的社区检测和定量酚类化合物的检测和定量突变的人为遗传回路和酚类化合物的方法

摘要

The present invention relates to a method for detecting and quantifying phenolic compounds using a mutant redesign gene circuit, more specifically, the 52nd methionine (M) of wild-type dmpR is substituted with isoleucine (I) or cysteine (C), or additionally wild-type dmpR Mutant redesign using a modified dmpR protein in which glutamine (Q) at position 71 is substituted with alanine (A), glutamic acid at position 135 (E) with lysine (K), or lysine (K) at position 188 with arginine (R) By constructing the genetic circuit, there is an effect of accurately detecting and quantifying even a small amount of various phenolic compounds.
机译:本发明涉及使用突变重新设计基因回路检测和定量酚类化合物的方法,更具体地,野生型DMPR的52次蛋氨酸(M)被异亮氨酸(I)或半胱氨酸(C)取代,或另外野生 -Type DMPR突变体使用改性DMPR蛋白重新设计,其中位于135(e)的丙氨酸71的谷氨酰胺(Q),在188点的赖氨酸(k)或赖氨酸(k)的位置135(e)处被丙氨酸(a),或赖氨酸(k)取代 精氨酸(R)通过构建遗传回路,甚至少量各种酚类化合物的精确检测和定量效果。

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