Artificial molecular communication network based on DNA nanostructures recognition
Abstract Artificial simulated communication networks inspired by molecular communication in organisms use biological and chemical molecules as information carriers to realize information transmission. However, the design of programmable, multiplexed and general simulation models remains challenging....
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55527-w |
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| _version_ | 1841559307699617792 |
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| author | Junke Wang Mo Xie Lilin Ouyang Jinggang Li Lianhui Wang Chunhai Fan Jie Chao |
| author_facet | Junke Wang Mo Xie Lilin Ouyang Jinggang Li Lianhui Wang Chunhai Fan Jie Chao |
| author_sort | Junke Wang |
| collection | DOAJ |
| description | Abstract Artificial simulated communication networks inspired by molecular communication in organisms use biological and chemical molecules as information carriers to realize information transmission. However, the design of programmable, multiplexed and general simulation models remains challenging. Here, we develop a DNA nanostructure recognition-based artificial molecular communication network (DR-AMCN), in which rectangular DNA origami nanostructures serve as nodes and their recognition as edges. After the implementation of DR-AMCN with various communication mechanisms including serial, parallel, orthogonal, and multiplexing, it is applied to construct various communication network topologies with bus, ring, star, tree, and hybrid structures. By the establishment of a node partition algorithm for path traversal based on DR-AMCN, the computational complexity of the seven-node Hamiltonian path problem is reduced with the final solution directly obtained through the rate-zonal centrifugation method, and scalability of this approach is also demonstrated. The developed DR-AMCN enhances our understanding of signal transduction mechanisms, dynamic processes, and regulatory networks in organisms, contributing to the solution of informatics and computational problems, as well as having potential in computer science, biomedical engineering, information technology and other related fields. |
| format | Article |
| id | doaj-art-ad3803e708604b4d9dd2838ea67e2b46 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-ad3803e708604b4d9dd2838ea67e2b462025-01-05T12:38:35ZengNature PortfolioNature Communications2041-17232025-01-0116111110.1038/s41467-024-55527-wArtificial molecular communication network based on DNA nanostructures recognitionJunke Wang0Mo Xie1Lilin Ouyang2Jinggang Li3Lianhui Wang4Chunhai Fan5Jie Chao6Key Laboratory for Organic Electronics and Information Displays (KLOEID), Nanjing University of Posts and TelecommunicationsKey Laboratory for Organic Electronics and Information Displays (KLOEID), Nanjing University of Posts and TelecommunicationsKey Laboratory for Organic Electronics and Information Displays (KLOEID), Nanjing University of Posts and TelecommunicationsKey Laboratory for Organic Electronics and Information Displays (KLOEID), Nanjing University of Posts and TelecommunicationsKey Laboratory for Organic Electronics and Information Displays (KLOEID), Nanjing University of Posts and TelecommunicationsSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong UniversityKey Laboratory for Organic Electronics and Information Displays (KLOEID), Nanjing University of Posts and TelecommunicationsAbstract Artificial simulated communication networks inspired by molecular communication in organisms use biological and chemical molecules as information carriers to realize information transmission. However, the design of programmable, multiplexed and general simulation models remains challenging. Here, we develop a DNA nanostructure recognition-based artificial molecular communication network (DR-AMCN), in which rectangular DNA origami nanostructures serve as nodes and their recognition as edges. After the implementation of DR-AMCN with various communication mechanisms including serial, parallel, orthogonal, and multiplexing, it is applied to construct various communication network topologies with bus, ring, star, tree, and hybrid structures. By the establishment of a node partition algorithm for path traversal based on DR-AMCN, the computational complexity of the seven-node Hamiltonian path problem is reduced with the final solution directly obtained through the rate-zonal centrifugation method, and scalability of this approach is also demonstrated. The developed DR-AMCN enhances our understanding of signal transduction mechanisms, dynamic processes, and regulatory networks in organisms, contributing to the solution of informatics and computational problems, as well as having potential in computer science, biomedical engineering, information technology and other related fields.https://doi.org/10.1038/s41467-024-55527-w |
| spellingShingle | Junke Wang Mo Xie Lilin Ouyang Jinggang Li Lianhui Wang Chunhai Fan Jie Chao Artificial molecular communication network based on DNA nanostructures recognition Nature Communications |
| title | Artificial molecular communication network based on DNA nanostructures recognition |
| title_full | Artificial molecular communication network based on DNA nanostructures recognition |
| title_fullStr | Artificial molecular communication network based on DNA nanostructures recognition |
| title_full_unstemmed | Artificial molecular communication network based on DNA nanostructures recognition |
| title_short | Artificial molecular communication network based on DNA nanostructures recognition |
| title_sort | artificial molecular communication network based on dna nanostructures recognition |
| url | https://doi.org/10.1038/s41467-024-55527-w |
| work_keys_str_mv | AT junkewang artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition AT moxie artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition AT lilinouyang artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition AT jinggangli artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition AT lianhuiwang artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition AT chunhaifan artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition AT jiechao artificialmolecularcommunicationnetworkbasedondnananostructuresrecognition |