DNA附着在表面的融化机制。

IF 1.3 4区 数学 Q1 MATHEMATICS International Journal of Numerical Analysis and Modeling Pub Date : 2009-03-08
Khawla Qamhieh, Ka-Yiu Wong, Gillian C Lynch, B Montgomery Pettitt
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引用次数: 0

摘要

固定在芯片或纳米颗粒上的DNA融化的细节决定了许多分析和合成生物技术设备的灵敏度和操作特性。然而,人们对均匀溶液和芯片上的DNA融化方式的差异知之甚少。我们使用分子动力学模拟来探索DNA在芯片上融化的可能途径。选择模拟条件以确保熔化在亚微秒时间尺度内发生。温度设置为400 K, NaCl浓度设置为0.1 m,我们发现在溶液情况下,对于低聚双链核酸,两端熔化的概率大致相等,对称性较小。在制备好的二氧化硅表面上,我们发现熔化主要是由远离表面的末端磨损引起的。在此温度下,非特异性表面吸附阻碍了链的分离。在高温下,融化的DNA被吸引到甚至未带电的有机涂层表面,显示出表面污染。虽然杂化不是熔化的简单反向,但该模拟对杂化动力学具有启示意义。
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THE MELTING MECHANISM OF DNA TETHERED TO A SURFACE.

The details of melting of DNA immobilized on a chip or nanoparticle determines the sensitivity and operating characteristics of many analytical and synthetic biotechnological devices. Yet, little is known about the differences in how the DNA melting occurs between a homogeneous solution and that on a chip. We used molecular dynamics simulations to explore possible pathways for DNA melting on a chip. Simulation conditions were chosen to ensure that melting occurred in a submicrosecond timescale. The temperature was set to 400 K and the NaCl concentration was set to 0.1 M. We found less symmetry than in the solution case where for oligomeric double-stranded nucleic acids both ends melted with roughly equal probability. On a prepared silica surface we found melting is dominated by fraying from the end away from the surface. Strand separation was hindered by nonspecific surface adsorption at this temperature. At elevated temperatures the melted DNA was attracted to even uncharged organically coated surfaces demonstrating surface fouling. While hybridization is not the simple reverse of melting, this simulation has implications for the kinetics of hybridization.

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来源期刊
CiteScore
2.10
自引率
9.10%
发文量
1
审稿时长
6-12 weeks
期刊介绍: The journal is directed to the broad spectrum of researchers in numerical methods throughout science and engineering, and publishes high quality original papers in all fields of numerical analysis and mathematical modeling including: numerical differential equations, scientific computing, linear algebra, control, optimization, and related areas of engineering and scientific applications. The journal welcomes the contribution of original developments of numerical methods, mathematical analysis leading to better understanding of the existing algorithms, and applications of numerical techniques to real engineering and scientific problems. Rigorous studies of the convergence of algorithms, their accuracy and stability, and their computational complexity are appropriate for this journal. Papers addressing new numerical algorithms and techniques, demonstrating the potential of some novel ideas, describing experiments involving new models and simulations for practical problems are also suitable topics for the journal. The journal welcomes survey articles which summarize state of art knowledge and present open problems of particular numerical techniques and mathematical models.
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