Stochastic computing with biomolecular automata
Stochastic computing with biomolecular automata
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DOI：
10.1073/pnas.0400731101
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发表时间：
2004-07-06
影响因子：
11.1
通讯作者：
Shapiro, E
中科院分区：
文献类型：
--
作者：
Adar, R;Benenson, Y;Shapiro, E
随机计算有着广泛的应用，但电子计算机实现其基本步骤，随机选择之间的替代计算路径，在一个繁琐的方式。生物分子计算机使用不同的计算范式，因此提供了新颖的设计。我们构建了一个随机分子自动机，其中随机选择是通过替代生化途径之间的竞争来实现的，选择概率由软件分子编码的替代品的相对摩尔浓度来编程。可编程和自主的随机分子自动机已被证明可以在体外直接分析疾病相关的分子指标，并可能具有提供原位医学诊断和治疗的潜力。
Stochastic computing has a broad range of applications, yet electronic computers realize its basic step, stochastic choice between alternative computation paths, in a cumbersome way. Biomolecular computers use a different computational paradigm and hence afford novel designs. We constructed a stochastic molecular automaton in which stochastic choice is realized by means of competition between alternative biochemical pathways, and choice probabilities are programmed by the relative molar concentrations of the software molecules coding for the alternatives. Programmable and autonomous stochastic molecular automata have been shown to perform direct analysis of disease-related molecular indicators in vitro and may have the potential to provide in situ medical diagnosis and cure.