张强

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:计算机科学与技术学院院长

其他任职:计算机学院院长

性别:男

毕业院校:西安电子科技大学

学位:博士

所在单位:计算机科学与技术学院

学科:计算机应用技术

联系方式:E-Mail: zhangq@dlut.edu.cn

电子邮箱:zhangq@dlut.edu.cn

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A molecular device: A DNA molecular lock driven by the nicking enzymes

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论文类型:期刊论文

发表时间:2021-03-05

发表刊物:COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL

卷号:18

页面范围:2107-2116

ISSN号:2001-0370

关键字:DNA; Information Security; Molecular Lock; Nicking Enzyme

摘要:As people are placing more and more importance on information security, how to realize the protection of information has become a hotspot of current research. As a security device, DNA molecular locks have great potential to realize information protection at the molecular level. However, building a highly secure molecular lock is still a serious challenge. Therefore, taking advantage of the DNA strand displacement and enzyme control technology, we constructed a molecular lock with a self-destructive mechanism. This molecular lock is mainly composed of logic circuits and takes nicking enzymes as inputs. To build this molecular lock, we first constructed a series of cascade circuits, including a YES-YES cascade circuit and a YES-AND cascade circuit. Then, an Inhibit logic gate was constructed to explore the inhibitory properties between different combinations of two nicking enzymes. Finally, using the characteristics of mutual inhibition between several enzymes, a DNA molecular lock driven by three nicking enzymes was constructed. In this molecular device, only the correct sequence of nicking enzymes can be input to ensure the normal operation of the molecular lock. Once the wrong password is entered, the device will be destroyed and cannot be recovered, which effectively prevents intruders from cracking the lock through exhaustive methods. The molecular lock has the function of simulating an electronic keyboard, which can realize the protection of information at the molecular level, and provides a new implementation method for building more advanced and complex molecular devices. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.