摘要翻译:
生物化学计算的最新进展,即利用主要是酶反应的级联实现计算门(如AND、OR等)的信息处理,以及将这些门联网和将所得系统耦合到智能/响应电极以进行输出读出方面的进展,为生物传感开辟了新的机会。在这里,我们综述了现有的有利的研究成果,以及未来发展一种新的数字操作生物传感器范式的想法和研究途径,该范式通过由生物分子反应组成的布尔逻辑网络对多个生化信号进行逻辑处理,产生最终的输出信号为YES/NO响应。与普通的单个或并行传感设备相比,这样的系统可以导致高保真的生物传感。
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英文标题:
《Towards Biosensing Strategies Based on Biochemical Logic Systems》
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作者:
Vladimir Privman, Evgeny Katz, Joseph Wang
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最新提交年份:
2009
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分类信息:
一级分类:Physics 物理学
二级分类:Biological Physics 生物物理学
分类描述:Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象(量子生物物理)、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
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一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要:
Recent advances in biochemical computing, i.e., information processing with cascades of primarily enzymatic reactions realizing computing gates, such as AND, OR, etc., as well as progress in networking these gates and coupling of the resulting systems to smart/responsive electrodes for output readout, have opened new biosensing opportunities. Here we survey existing enabling research results, as well as ideas and research avenues for future development of a new paradigm of digitally operating biosensors logically processing multiple biochemical signals through Boolean logic networks composed of biomolecular reactions, yielding the final output signals as YES/NO responses. Such systems can lead to high-fidelity biosensing compared to common single or parallel sensing devices.
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PDF链接:
https://arxiv.org/pdf/0909.1583