基于免疫识别过程的逻辑网络。

Logic networks based on immunorecognition processes.

作者信息

Strack Guinevere, Chinnapareddy Soujanya, Volkov Dmytro, Halámek Jan, Pita Marcos, Sokolov Igor, Katz Evgeny

机构信息

Department of Chemistry and Biomolecular Science, Department of Physics, and Nanoengineering and Biotechnology Laboratories Center (NABLAB), Clarkson University, Potsdam, New York 13699, USA.

出版信息

J Phys Chem B. 2009 Sep 3;113(35):12154-9. doi: 10.1021/jp905620c.

DOI:10.1021/jp905620c

PMID:19663516

Abstract

The biochemical system logically processing biochemical signals using immune-specific and biocatalytic reactions was designed, and the generated output signals were analyzed by AFM and optical means. Different patterns of immune signals resulted in the formation of various interfacial structures followed by biocatalytic reactions activated by the next set of biochemical inputs. The developed approach to multisignal biosensing allows qualitative evaluation of the biochemical information in terms of YES-NO, providing the base for novel molecular-level logic analysis of complex patterns of biochemical signals. Application of AFM to read out the structures generated on the interface could potentially lead to substantial miniaturization of the immune logic systems.

摘要

设计了利用免疫特异性和生物催化反应对生物化学信号进行逻辑处理的生化系统，并通过原子力显微镜（AFM）和光学手段对产生的输出信号进行分析。不同模式的免疫信号导致形成各种界面结构，随后由下一组生化输入激活生物催化反应。所开发的多信号生物传感方法能够以“是-否”的方式对生化信息进行定性评估，为复杂生化信号模式的新型分子水平逻辑分析奠定了基础。应用原子力显微镜读取界面上产生的结构可能会使免疫逻辑系统大幅小型化。