Jost Daniel, Everaers Ralf
Ecole Normale Superieure de Lyon.
Biophys J. 2009 Feb;96(3):1056-67. doi: 10.1529/biophysj.108.134031.
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.
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。