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一种基于DNA的有限域算术新模型。

A new DNA-based model for finite field arithmetic.

作者信息

Jirón Iván, Soto Susana, Marín Sabrina, Acosta Mauricio, Soto Ismael

机构信息

Departamento de Matemáticas, Universidad Católica del Norte, Antofagasta, Chile.

Centro de biotecnología "Profesor Alberto Ruiz", Universidad Católica del Norte, Antofagasta, Chile.

出版信息

Heliyon. 2019 Dec 11;5(12):e02901. doi: 10.1016/j.heliyon.2019.e02901. eCollection 2019 Dec.

Abstract

A Galois field with a prime number and is a mathematical structure widely used in Cryptography and Error Correcting Codes Theory. In this paper, we propose a novel DNA-based model for arithmetic over . Our model has three main advantages over other previously described models. First, it has a flexible implementation in the laboratory that allows the realization arithmetic calculations in parallel for , while the tile assembly and the sticker models are limited to . Second, the proposed model is less prone to error, because it is grounded on conventional Polymerase Chain Reaction (PCR) amplification and gel electrophoresis techniques. Hence, the problems associated to models such as tile-assembly and stickers, that arise when using more complex molecular techniques, such as hybridization and denaturation, are avoided. Third, it is simple to implement and requires 50 ng/μL per DNA double fragment used to develop the calculations, since the only feature of interest is the size of the DNA double strand fragments. The efficiency of our model has execution times of order and , for the addition and multiplication over , respectively. Furthermore, this paper provides one of the few experimental evidences of arithmetic calculations for molecular computing and validates the technical applicability of the proposed model to perform arithmetic operations over .

摘要

具有素数的伽罗瓦域是一种在密码学和纠错码理论中广泛使用的数学结构。在本文中,我们提出了一种新颖的基于DNA的用于GF(p)上算术运算的模型。与先前描述的其他模型相比,我们的模型具有三个主要优点。首先,它在实验室中有灵活的实现方式,允许对GF(p)并行实现算术计算,而瓦片组装模型和贴纸模型仅限于GF(2)。其次,所提出的模型不易出错,因为它基于传统的聚合酶链反应(PCR)扩增和凝胶电泳技术。因此,避免了在使用更复杂的分子技术(如杂交和变性)时出现的与瓦片组装和贴纸等模型相关的问题。第三,它易于实现,并且用于进行计算的每个DNA双链片段需要50 ng/μL,因为唯一感兴趣的特征是DNA双链片段的大小。我们模型的效率对于GF(p)上的加法和乘法运算,执行时间分别为O(p)和O(p²)量级。此外,本文提供了为数不多的分子计算算术运算的实验证据之一,并验证了所提出模型在GF(p)上执行算术运算的技术适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecab/6926258/76692914f00f/gr2.jpg

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