Issue 3, 2016

A RET-supported logic gate combinatorial library to enable modeling and implementation of intelligent logic functions

Abstract

Boolean logic gates integrate multiple digital inputs into a digital output. Among these, logic gates based on nucleic acids have attracted a great deal of attention due to the prospect of controlling living systems in the way we control electronic computers. Herein, by employing Thioflavin T (ThT) as a signal transducer, we integrated multiple components based on RET (a type of proto-oncogene) into a logic gate combinatorial library, including basic logic gates (NOR, INHIBIT, IMPLICATION), a single three-input NOR gate, and combinatorial gates (INHIBIT–OR, NOT–AND–NOR). In this library, gates were connected in series where the output of the previous gate was the input for the next gate. Subsequently, by taking advantage of the library, some intelligent logic functions were realized. Expectedly, a biocomputing keypad-lock security system was designed by sequential logic operations. Moreover, a parity checker which can identify even numbers and odd numbers from natural numbers was established successfully. This work helps elucidate the design rules by which simple logic can be harnessed to produce diverse and complex calculations by rewiring communication between different gates. Together, our system may serve as a promising proof of principle that demonstrates increased computational complexity by linking multiple logic gates together.

Graphical abstract: A RET-supported logic gate combinatorial library to enable modeling and implementation of intelligent logic functions

Supplementary files

Article information

Article type
Edge Article
Submitted
21 Sep 2015
Accepted
17 Nov 2015
First published
23 Nov 2015
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY-NC license

Chem. Sci., 2016,7, 1853-1861

Author version available

A RET-supported logic gate combinatorial library to enable modeling and implementation of intelligent logic functions

R. Gao, S. Shi, Y. Zhu, H. Huang and T. Yao, Chem. Sci., 2016, 7, 1853 DOI: 10.1039/C5SC03570H

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