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The bounded complexity of DNA computing.

机译:DNA计算的有限复杂性。

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This paper proposes a new approach to analyzing DNA-based algorithms in molecular computation. Such protocols are characterized abstractly by: encoding, tube operations and extraction. Implementation of these approaches involves encoding in a multiset of molecules that are assembled in a tube having a number of physical attributes. The physico-chemical state of a tube can be changed by a prescribed number of elementary operations. Based on realistic definitions of these elementary operations, we define complexity of a DNA-based algorithm using the physico-chemical property of each operation. We show that new algorithms for Hamiltonian path are about twice as efficient as Adleman's original one and that a recent algorithm for Max-Clique provides a similar increase in efficiency. Consequences of this approach to tube complexity and DNA computing are discussed.
机译:本文提出了一种新的方法来分析分子计算中基于DNA的算法。这种协议的抽象特征是:编码,电子管操作和提取。这些方法的实现涉及编码组装在具有许多物理属性的管中的多组分子。可以通过规定数量的基本操作来更改管的物理化学状态。基于这些基本操作的实际定义,我们使用每个操作的物理化学性质来定义基于DNA的算法的复杂性。我们证明,用于汉密尔顿路径的新算法的效率大约是阿德曼原始算法的两倍,并且针对麦克斯克利克(Max-Clique)的最新算法提供了类似的效率提升。讨论了这种方法对试管复杂性和DNA计算的后果。

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