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Microbial Biosensors

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Updated: May 7, 2026

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters

Published on: November 26, 2013

计算引导的转录因子生物传感器特异性工程用于酸检测.

Chester Pham¹, Peter J Stogios¹, Alexei Savchenko^1,2

¹Department of Chemical Engineering and Applied Chemistry, University of Toronto, Ontario, Canada.

Computational and structural biotechnology journal

|May 31, 2024

概括

我们通过计算改变TF特异性来为生物技术设计基于转录因子 (TF) 的生物传感器. 这种方法可以创建新的生物传感器,比如酸的生物传感器,具有增强的灵敏度.

关键词:

亚酸是亚酸的一种.生物传感器是一种生物传感器.停靠对接停靠对接分子动力学分子动力学粘菌酸是什么粘菌酸是什么蛋白质工程是一种蛋白质工程.

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Last Updated: May 7, 2026

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters

Published on: November 26, 2013

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High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy

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Published on: February 7, 2019

科学领域:

合成生物学合成生物学
生物技术是生物技术.
计算生物学计算生物学

背景情况:

基于转录因子 (TF) 的生物传感器是生物技术中宝贵的工具,将小分子检测与可测量的输出 (如光) 联系起来.
目前的TF生物传感器开发受限于特定于所需分子的TF的稀缺性,限制了新生物传感器的构建.

研究的目的:

为工程TF联体特异性提供计算工作流.
用分子对接来证明TF特异性的有针对性的改变.
开发一种用于酸生产的新型生物传感器.

主要方法:

采用基于计算的工作流程,利用分子对接来识别用于改变TF特异性的向氨基酸替代物.
设计了LysR家族TF,BenM,通过单个氨基酸变化,将特异性从cis,cis-酸转换为酸.
利用分子动力学模拟来分析连接体结合和氨基酸替代对BenM结构动力学的影响.

主要成果:

通过单个氨基酸替代,成功设计了BenM TF,通过单个氨基酸替代,专门结合酸.
设计的酸生物传感器在无细胞系统中表现出增强的连接体灵敏度.
分子动力学揭示了单个氨基酸的变化如何影响BenM的连接体结合机制和结构动力学.

结论:

这项研究展示了生物分子建模的首次应用,以改变BenM的特异性并了解突变诱导的动态变化.
计算方法为其他TF的工程特异性和分析其动态机制提供了一个强大的策略.
开发的酸生物传感器在识别和设计用于酸生产的酶方面具有潜在的应用.