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本文引用的文献

1
DNA-programmable nanoparticle crystallization.DNA可编程纳米颗粒结晶
Nature. 2008 Jan 31;451(7178):553-6. doi: 10.1038/nature06508.
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DNA-guided crystallization of colloidal nanoparticles.胶体纳米颗粒的DNA引导结晶
Nature. 2008 Jan 31;451(7178):549-52. doi: 10.1038/nature06560.
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Unified description of poly- and oligonucleotide DNA melting: nearest-neighbor, Poland-Sheraga, and lattice models.
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Apr;75(4 Pt 1):041918. doi: 10.1103/PhysRevE.75.041918. Epub 2007 Apr 27.
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Mismatches and bubbles in DNA.DNA中的错配和气泡
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DINAMelt web server for nucleic acid melting prediction.用于核酸熔解预测的DINAMelt网络服务器。
Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W577-81. doi: 10.1093/nar/gki591.
6
Generalized Poland-Scheraga model for DNA hybridization.用于DNA杂交的广义波兰-谢拉加模型。
Biopolymers. 2004 Dec 15;75(6):453-67. doi: 10.1002/bip.20140.
7
Prediction of hybridization and melting for double-stranded nucleic acids.双链核酸杂交与解链的预测
Biophys J. 2004 Jul;87(1):215-26. doi: 10.1529/biophysj.103.020743.
8
Bubble nucleation and cooperativity in DNA melting.DNA熔解中的气泡成核与协同性。
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9
Effects of sodium ions on DNA duplex oligomers: improved predictions of melting temperatures.钠离子对DNA双链寡聚物的影响:对解链温度的改进预测
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寡核苷酸和多核苷酸DNA解链的统一波兰-谢拉加模型:盐效应和预测能力。

A unified Poland-Scheraga model of oligo- and polynucleotide DNA melting: salt effects and predictive power.

作者信息

Jost Daniel, Everaers Ralf

机构信息

Ecole Normale Superieure de Lyon.

出版信息

Biophys J. 2009 Feb;96(3):1056-67. doi: 10.1529/biophysj.108.134031.

DOI:10.1529/biophysj.108.134031
PMID:18849409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2716684/
Abstract

Key biological and nano-technological processes require the partial or complete association and dissociation of complementary DNA strands. We present a variant of the Poland-Scheraga model for DNA melting where we introduce a local, sequence-dependent salt correction of the nearest-neighbor parameters. Furthermore, our formulation accounts for capping and interfacial energies of helical and coiled chain sections. We show that the model reproduces experimental data for melting temperatures over the full experimental range of strand length, strand concentration, and ionic strength of the solution. In particular, we reproduce a phenomenological relation by Frank-Kamenetskii for very long chains using a parameterization based on melting curves for short oligomers. However, we also show that the parameters of the Poland-Scheraga model are still not known with sufficient precision to quantitatively predict the fine structure of melting curves. This formulation of the Poland-Scheraga model opens the possibility to overcome this limitation by optimizing parameters with respect to an extended base of experimental data for short-, medium-, and long-chain melting. We argue that the often-discarded melting data for longer oligomers exhibiting non-two-state transitions could play a particularly important role.

摘要

关键的生物学和纳米技术过程需要互补DNA链的部分或完全缔合和解离。我们提出了一种用于DNA解链的波兰-谢拉加模型变体,其中我们引入了对最近邻参数的局部、序列依赖性盐校正。此外,我们的公式考虑了螺旋链段和卷曲链段的封端和界面能。我们表明,该模型在链长度、链浓度和溶液离子强度的整个实验范围内再现了解链温度的实验数据。特别是,我们使用基于短寡聚物解链曲线的参数化方法,再现了弗兰克-卡缅涅茨基对于非常长链的一个唯象关系。然而,我们也表明,波兰-谢拉加模型的参数仍未精确到足以定量预测解链曲线的精细结构。这种波兰-谢拉加模型的公式化通过针对短链、中链和长链解链的扩展实验数据基础优化参数,开启了克服这一限制的可能性。我们认为,对于表现出非二态转变的较长寡聚物,经常被丢弃的解链数据可能起着特别重要的作用。