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Micromachines
Special Issues
Nucleic-Acid-Based Intelligent Systems
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Nucleic-Acid-Based Intelligent Systems

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 2025

Special Issue Editor

Dr. Chao Zhang

E-Mail Website
Guest Editor
School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
Interests: nucleic-acid-based intelligent systems in biomedical applications

Special Issue Information

Dear Colleagues,

Artificially intelligent molecular systems play an important role in numerous applications. Nucleic acids are potential materials for building artificially intelligent molecular systems because of their nanoscale size, ease of chemical synthesis, predictable base-pairing behavior, and the ability to regulate biological macromolecules in a significant way. In recent decades, many nucleic-acid-based intelligent systems have been constructed, including Boolean logic gates, molecular circuits, or artificial neural networks. They have been used to address a variety of challenges, including biomedical applications. For example, these logic systems can act as processors to precisely control nanodevices in vitro, monitor biochemical reactions in situ, and intelligently regulate gene expression in vivo. Accordingly, this Special Issue seeks to showcase research papers and review articles that focus on the study of artificial intelligence systems based on nucleic acid molecules and their applications in different fields.

We look forward to receiving your submissions!

Dr. Chao Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nucleic acid nanotechnology
  • artificial intelligence
  • molecular systems
  • nucleic acid-based applications

Published Papers (1 paper)

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Research

10 pages, 3112 KiB  
Article
Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis
by Xiaonan Liu, Jiaxing Zhang and Kai Hua
Micromachines 2023, 14(3), 647; https://doi.org/10.3390/mi14030647 - 12 Mar 2023
Viewed by 1631
Abstract
Non-small cell lung cancer (NSCLC) is a major cause of cancer-related deaths around the world. Targeting the sensitized epidermal growth factor receptor (EGFR) caused by gene mutation through the tyrosine kinase inhibitor is an effective therapeutic strategy for NSCLC. Hence, the [...] Read more.
Non-small cell lung cancer (NSCLC) is a major cause of cancer-related deaths around the world. Targeting the sensitized epidermal growth factor receptor (EGFR) caused by gene mutation through the tyrosine kinase inhibitor is an effective therapeutic strategy for NSCLC. Hence, the individualized therapeutic strategy has highlighted the demand for a simple, fast, and intelligent strategy for the genetic decoding of EGFR to cater to the popularization of precision medicine. In this research, a one-pot assay for EGFR identification is established by combining a loop-mediated isothermal amplification and amplification refractory mutation system. By optimizing the component and condition of the nucleic acid amplification system, a sensitive and specific distinguishability is achieved for tracing target variant (60 copies, 0.1%) identification under a strong interferential background within 40 min. Moreover, complex operation and time-consuming data processing, as well as the aerosol contamination, are avoided owing to the whole process for intelligent genetic decoding being performed in a sealed tube. As a demonstration, L858R, the primary point mutation for the sensitization of EGFR, has been accurately decoded using this assay with highly heterogeneous cancerous tissue. In addition, this method can be easily extended for other genetic information decoding using a tailor-made primer set. Thus, we propose that this straightforward strategy may serve as a promising tool for NSCLC diagnosis in clinical practice. Full article
(This article belongs to the Special Issue Nucleic-Acid-Based Intelligent Systems)
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