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Adaptive DNA computing algorithm by using PCR and restriction enzyme

机译:PCR和限制酶的自适应DNA计算算法

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In this paper, we introduce a new adaptive DNA computing algorithm by using Polymerase Chain Reaction (PCR). The adaptive algorithm is designed based on Adleman-Lipton (1995) paradigm of DNA computing. However, unlike the Adleman-Lipton architecture, a cutting operation has been introduced to the algorithm and the mechanism in which the molecules used by computation were feedback to the next cycle was devised. Moreover, amplification by PCR is performed in the molecule used by feedback and a concentration difference arises in the base sequence can be used again. By doing this, the molecules which serve as a solution candidate can be narrowed down and the optimal solution can be detected easily. From the application point of view, a simulation has been carried out on the shortest path problem and the validity of the proposed adaptive algorithm is stated from the results of the simulation. Finally, we go on to propose applying adaptive algorithm to the chemistry experiment which used the actual DNA molecules for solving a universal problem.
机译:在本文中,我们通过使用聚合酶链反应(PCR)引入新的自适应DNA计算算法。自适应算法基于Adleman-Lipton(1995)的DNA计算范例设计。然而,与Adleman-Lipton架构不同,已经引入了算法的切割操作和所用的机制,其中计算的分子反馈到下一个循环。此外,通过反馈使用的分子中通过PCR进行扩增,并且可以再次使用碱基序列中产生的浓度差异。通过这样做,可以缩小用作溶液候选物的分子,并且可以容易地检测最佳溶液。从应用的角度来看,已经在最短路径问题上进行了模拟,并且从模拟结果中阐述了所提出的自适应算法的有效性。最后,我们继续提出将自适应算法应用于使用实际DNA分子来解决普遍问题的化学实验。

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