DNA Computing for Combinational Logic
Chuan Zhang (1, 2, 3), Lulu Ge (1, 2, 3), Yuchen Zhuang (1, and 2, 3), Ziyuan Shen (1, 2, 3), Zhiwei Zhong (1, 2, 3),, Zaichen Zhang (2, 3), Xiaohu You (2) ((1) Lab of Efficient Architectures, for Digital-communication, Signal-processing (LEADS), (2) National Mobile

TL;DR
This paper reviews the development of DNA-based combinational logic, highlighting its potential as an alternative to silicon in molecular computing and discussing recent advances from both analog and digital perspectives.
Contribution
It provides a comprehensive overview of DNA computing techniques for combinational logic, summarizing recent research and inspiring future innovations in molecular computing.
Findings
Summarizes state-of-the-art DNA logic synthesis methods
Highlights progress in analog and digital DNA logic circuits
Discusses potential for DNA computing as silicon alternative
Abstract
With the progressive scale-down of semiconductor's feature size, people are looking forward to More Moore and More than Moore. In order to offer a possible alternative implementation process, people are trying to figure out a feasible transfer from silicon to molecular computing. Such transfer lies on bio-based modules programming with computer-like logic, aiming at realizing the Turing machine. To accomplish this, the DNA-based combinational logic is inevitably the first step we have taken care of. This timely overview paper introduces combinational logic synthesized in DNA computing from both analog and digital perspectives separately. State-of-the-art research progress is summarized for interested readers to quick understand DNA computing, initiate discussion on existing techniques and inspire innovation solutions. We hope this paper can pave the way for the future DNA computing…
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Taxonomy
TopicsAdvanced biosensing and bioanalysis techniques · DNA and Biological Computing · Modular Robots and Swarm Intelligence
