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Characterising Enzymes for Information Processing: Towards an Artificial Experimenter

机译:表征信息处理的酶:走向人工实验

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The information processing capabilities of many proteins are currently unexplored. The complexities and high dimensional parameter spaces make their investigation impractical. Difficulties arise as limited resources prevent intensive experimentation to identify repeatable behaviours. To assist in this exploration, computational techniques can be applied to efficiently search the space and automatically generate probable response behaviours. Here an artificial experimenter is discussed that aims to mimic the abilities of a successful human experimenter, using multiple hypotheses to cope with the small number of observations practicable. Coupling this approach with a lab-on-chip platform currently in development, we seek to create an autonomous experimentation machine capable of enzyme characterisation, which can be used as a tool for developing enzymatic computing.
机译:许多蛋白质的信息处理能力目前是未开发的。复杂性和高维参数空间使其调查不切实际。由于有限的资源,难以防止密集实验来识别可重复行为。为了帮助在该探索中,可以应用计算技术以有效地搜索空间并自动生成可能的响应行为。在这里,讨论了人工实验者,旨在模仿成功人体实验者的能力,使用多个假设来应对少量观察。耦合目前在开发的芯片上平台的这种方法,我们寻求创建一种能够进行酶表征的自主实验机,可用作开发酶计算的工具。

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