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使用 MM-GBSA 对肽核酸结合焓进行建模。

Modeling Peptide Nucleic Acid Binding Enthalpies Using MM-GBSA.

机构信息

University of the West of England, BristolBS16 1QY, U.K.

GKN Aerospace, BristolBS34 6FB, U.K.

出版信息

J Phys Chem B. 2022 Nov 24;126(46):9528-9538. doi: 10.1021/acs.jpcb.2c05547. Epub 2022 Nov 14.

Abstract

The binding enthalpies of peptide nucleic acid (PNA) homoduplexes were predicted using a molecular mechanics generalized Born surface area approach. Using the nucleic acid nearest-neighbor model, these were decomposed into sequence parameters which could replicate the enthalpies from thermal melting experiments with a mean error of 8.7%. These results present the first systematic computational investigation into the relationship between sequence and binding energy for PNA homoduplexes and identified a stabilizing helix initiation enthalpy not observed for nucleic acids with phosphoribose backbones.

摘要

使用分子力学广义 Born 表面积方法预测肽核酸 (PNA) 同源双链体的结合焓。使用核酸最近邻模型,将这些结合焓分解为序列参数,这些序列参数可以复制热融实验中的焓值,平均误差为 8.7%。这些结果首次系统地研究了 PNA 同源双链体的序列与结合能之间的关系,并确定了一种稳定螺旋起始焓,这在具有磷酸核糖骨架的核酸中没有观察到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/854b/9706560/6d1fabe23776/jp2c05547_0002.jpg

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