Arbitrary Digital DNA Computing: A Programmable Molecular Perceptron Driven by Lambda Exonuclease for Lighting up Concatenated Circuits.

DNA circuits Lambda exonuclease hydrolysis characteristic molecular digital computation molecular perceptron

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
30 Apr 2024
Historique:
medline: 1 5 2024
pubmed: 1 5 2024
entrez: 30 4 2024
Statut: aheadofprint

Résumé

DNA circuits, as a type of biochemical system, have the capability to synchronize the perception of molecular information with a chemical reaction response and directly process the molecular characteristic information in biological activities, making them a crucial area in molecular digital computing and smart bioanalytical applications. Instead of cascading logic gates, the traditional research approach achieves multiple logic operations which limits the scalability of DNA circuits and increases the development costs. Based on the interface reaction mechanism of Lambda exonuclease, the molecular perceptron proposed in this study, with the need for only adjusting weight and bias parameters to alter the corresponding logic expressions, enhances the versatility of the molecular circuits. We also establish a mathematical model and an improved heuristic algorithm for solving weights and bias parameters for arbitrary logic operations. The simulation and FRET experiment results of a series of logic operations demonstrate the universality of molecular perceptron. We hope the proposed molecular perceptron can introduce a new design paradigm for molecular circuits, fostering innovation and development in biomedical research related to biosensing, targeted therapy, and nanomachines.

Identifiants

pubmed: 38688864
doi: 10.1021/acsami.4c03486
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Xun Zhang (X)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Xin Liu (X)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Xiaokang Zhang (X)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Shuang Cui (S)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Yao Yao (Y)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Bin Wang (B)

Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Dalian 116622, China.

Qiang Zhang (Q)

School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.

Classifications MeSH