沈阳航空航天大学学报2025，Vol.42Issue(1)：1-13,13.DOI:10.3969/j.issn.2095-1248.2025.01.001
基于DNA变构的智能分子信息处理研究进展
Research progress on intelligent molecular information processing based on DNA allostery
摘要
Abstract
Due to its powerful information storage and programming capabilities,DNA is regarded as the most promising new material for information storage and processing.There is an urgent need to develop novel DNA manipulation techniques and information processing strategies to achieve nanoscale information storage and processing in non-traditional media,thereby providing the tools for construc-ting a new generation of intelligent molecular information processing systems.Based on the basic mechanism of signal regulation and communication in organisms,relevant research in recent years from the perspective of DNA molecular allostery was summarized.Firstly,relevant research on DNA circuits was summarized,including DNA strand displacement technology and the application of protein enzymes.Secondly,the important research results of intelligent molecular information processing from two aspects of information processing and computing platform were analyzed and summarized,inclu-ding DNA neural networks,analog biochemical reaction systems with learning ability,and computing frameworks based on DNA origami.By sorting out these studies,the key problems faced in current intelligent molecular information processing research were analyzed and potential solutions were proposed.Finally,the future directions and applications of this field were summarized and prospected.It is believed that molecular information processing technology will bring more efficient and intelligent information processing methods to human society.关键词
DNA链置换/DNA电路/分子信息处理/DNA变构/DNA神经网络Key words
DNA strand displacement/DNA circuit/molecular information processing/DNA allostery/DNA neural network分类
计算机与自动化引用本文复制引用
郑学东,谭诗霖..基于DNA变构的智能分子信息处理研究进展[J].沈阳航空航天大学学报,2025,42(1):1-13,13.基金项目
国家自然科学基金(项目编号:61972266) （项目编号:61972266）
教育部先进设计与智能计算重点实验室重点开放课题(项目编号:ADIC2023ZD002) （项目编号:ADIC2023ZD002）
辽宁省自然科学基金(项目编号:2022-KF-12-14). （项目编号:2022-KF-12-14）
