{"title":"Quality and Cost Improved Renewable Time-Responsive DNA Logic Gates.","authors":"Mohammad Ataee Zolfaghari, Ali Jahanian","doi":"10.1109/TNB.2025.3569127","DOIUrl":null,"url":null,"abstract":"<p><p>DNA strands have been used recently as one of the ideal materials in molecular computation because of the fascinating properties of these molecules, like high parallelism and programmability. Several architectures are proposed in recent years for design DNA-based logic gates. These gates have improved through time in several properties like scalability, time responsiveness, output quality, and material utilization. However, as their fundamental limitations, these gates are considered to be disposable, and also, can impose high costs. The mentioned issues can decrease their practicality. Hence, in recent years, researchers have proposed several methods to address these limitations. However, the reported methods have some drawbacks, such as low restoration quality and degraded output concentration. Also, some of these gates use the dual-rail design that results in high complexity and cost. This paper introduces a design scheme to solve the disposability of a DNA-based gate with better gate-restoration and output quality compared to the addressed methods considerably. So that, in this work successful to restoration the gate up to the 90% than existing methods, and achieved the output quality about four-fold than the previous method. Moreover, it uses the single-rail method for representing the inputs and output signals that decrease the manufacturing cost of the system.</p>","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"PP ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on NanoBioscience","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1109/TNB.2025.3569127","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
DNA strands have been used recently as one of the ideal materials in molecular computation because of the fascinating properties of these molecules, like high parallelism and programmability. Several architectures are proposed in recent years for design DNA-based logic gates. These gates have improved through time in several properties like scalability, time responsiveness, output quality, and material utilization. However, as their fundamental limitations, these gates are considered to be disposable, and also, can impose high costs. The mentioned issues can decrease their practicality. Hence, in recent years, researchers have proposed several methods to address these limitations. However, the reported methods have some drawbacks, such as low restoration quality and degraded output concentration. Also, some of these gates use the dual-rail design that results in high complexity and cost. This paper introduces a design scheme to solve the disposability of a DNA-based gate with better gate-restoration and output quality compared to the addressed methods considerably. So that, in this work successful to restoration the gate up to the 90% than existing methods, and achieved the output quality about four-fold than the previous method. Moreover, it uses the single-rail method for representing the inputs and output signals that decrease the manufacturing cost of the system.
期刊介绍:
The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).