Xuncai Zhang, Ruili Fan, Yanfeng Wang, Guangzhao Cui
{"title":"3D DNA self-assembly for the maximum clique problem","authors":"Xuncai Zhang, Ruili Fan, Yanfeng Wang, Guangzhao Cui","doi":"10.1109/WCICA.2012.6357915","DOIUrl":null,"url":null,"abstract":"DNA self-assembly technology has brought some novel inspirations to the development of DNA computing. At present, there are many diversified computational models to solve various NP problems, some of which are very useful to solve complex NP problems. In this paper, we introduce how the 3D self-assembly model to solve the maximum clique problem, with the capacity of DNA molecules in massive parallel computation. In this model, the number of distinct tiles used in the computing is a constant - 15, computation time is θ(n2), and computation space is θ(n3). Our work makes a significant attempt to explore the computational power of 3D DNA self-assembly.","PeriodicalId":114901,"journal":{"name":"Proceedings of the 10th World Congress on Intelligent Control and Automation","volume":"24 67","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2012.6357915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
DNA self-assembly technology has brought some novel inspirations to the development of DNA computing. At present, there are many diversified computational models to solve various NP problems, some of which are very useful to solve complex NP problems. In this paper, we introduce how the 3D self-assembly model to solve the maximum clique problem, with the capacity of DNA molecules in massive parallel computation. In this model, the number of distinct tiles used in the computing is a constant - 15, computation time is θ(n2), and computation space is θ(n3). Our work makes a significant attempt to explore the computational power of 3D DNA self-assembly.