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Monomer Control for Error Tolerance in DNA Self-Assembly

机译:DNA自组装的容错单体控制

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摘要

This paper proposes the control of monomer concentration as a novel improvement of the kinetic Tile Assembly Model (kTAM) to reduce the error rate in DNA self-assembly. Tolerance to errors in this process is very important for manufacturing scaffolds for highly dense ICs; the proposed technique significantly decreases error rates (i.e. it increases error tolerance) by controlling the concentration of the monomers (tiles) for a specific pattern to be assembled. By profiling, this feature is shown to be applicable to different tile sets. A stochastic analysis based on a new state model is presented. The analysis is extended to the cases of single, double and triple bondings. The kinetic trap model is modified to account for the different monomer concentrations. Different scenarios (such as dynamic and adaptive) for monomer control are proposed: in the dynamic (adaptive) control case, the concentration of each tile is assessed based on the current (average) demand during growth as found by profiling the pattern. Significant error rate reductions are found by evaluating the proposed schemes compared to a scheme with constant concentration. One of the significant advantages of the proposed schemes is that it doesn't entail an overhead such as increase in size and a slow growth, while still achieving a significant reduction in error rate. Simulation results are provided.
机译:本文提出了单体浓度的控制方法,作为对动力学平铺装配模型(kTAM)的一种新颖改进,以降低DNA自组装的错误率。对于制造高密度IC的支架,容忍此过程中的错误非常重要。所提出的技术通过控制要组装的特定图案的单体(砖)的浓度来显着降低错误率(即,增加了错误容忍度)。通过分析,此功能显示适用于不同的图块集。提出了一种基于新状态模型的随机分析方法。该分析扩展到单键,双键和三键的情况。修改了动力学陷阱模型,以说明不同的单体浓度。提出了用于单体控制的不同方案(例如动态和自适应):在动态(自适应)控制情况下,根据通过对模型进行轮廓分析发现的生长过程中的当前(平均)需求来评估每个砖的浓度。与具有恒定浓度的方案相比,通过评估提出的方案可以发现显着的错误率降低。所提出的方案的显着优点之一是,它不会带来诸如大小增加和缓慢增长之类的开销,同时仍然可以显着降低错误率。提供了仿真结果。

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