Propelling DNA Computing with Materials’ Power: Recent Advancements in Innovative DNA Logic Computing Systems and Smart Bio‐Applications

Abstract: DNA computing is recognized as one of the most outstanding candidates of next‐generation molecular computers that perform Boolean logic using DNAs as basic elements. Benefiting from DNAs’ inherent merits of low‐cost, easy‐synthesis, excellent biocompatibility, and high programmability, DNA computing has evoked substantial interests and gained burgeoning advancements in recent decades, and also exhibited amazing magic in smart bio‐applications. In this review, recent achievements of DNA logic computing systems using multifarious materials as building blocks are summarized. Initially, the operating principles and functions of different logic devices (common logic gates, advanced arithmetic and non‐arithmetic logic devices, versatile logic library, etc.) are elaborated. Afterward, state‐of‐the‐art DNA computing systems based on diverse “toolbox” materials, including typical functional DNA motifs (aptamer, metal‐ion dependent DNAzyme, G‐quadruplex, i‐motif, triplex, etc.), DNA tool‐enzymes, non‐DNA biomaterials (natural enzyme, protein, antibody), nanomaterials (AuNPs, magnetic beads, graphene oxide, polydopamine nanoparticles, carbon nanotubes, DNA‐templated nanoclusters, upconversion nanoparticles, quantum dots, etc.) or polymers, 2D/3D DNA nanostructures (circular/interlocked DNA, DNA tetrahedron/polyhedron, DNA origami, etc.) are reviewed. The smart bio‐applications of DNA computing to the fields of intelligent analysis/diagnosis, cell imaging/therapy, amongst others, are further outlined. More importantly, current “Achilles’ heels” and challenges are discussed, and future promising directions of this field are also recommended.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Propelling DNA Computing with Materials’ Power: Recent Advancements in Innovative DNA Logic Computing Systems and Smart Bio‐Applications ; volume:7 ; number:24 ; year:2020 ; extent:25
Advanced science ; 7, Heft 24 (2020) (gesamt 25)

Urheber
Fan, Daoqing
Wang, Juan
Wang, Erkang
Dong, Shaojun

DOI
10.1002/advs.202001766
URN
urn:nbn:de:101:1-2022062311272463908406
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:26 MESZ

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Beteiligte

  • Fan, Daoqing
  • Wang, Juan
  • Wang, Erkang
  • Dong, Shaojun

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