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On the energy of bifurcated hydrogen bonds for protein structure prediction

机译:关于分叉氢键能量的蛋白质结构预测

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Although hydrogen bonds are known to form cooperative networks, most protein structure prediction methods still model individual hydrogen bonds independently for computational efficiency. We are developing ways to identify and score networks of bonds, but need to determine the energies from such networks. In this paper we perform quantum calculations to compare energy profiles of individual hydrogen bonds to those of the simplest dependent interaction, bifurcated hydrogen bonds. When there are two lone pairs available for an acceptor to bond with two donors, then there is very little difference between the energies of two independent bonds and a bifurcated bond, but for one donor to bond to two acceptors is much harder. These results suggest that lone pair positions may be a better basis for hydrogen bond parameterization than atom positions.
机译:尽管已知氢键可形成协作网络,但大多数蛋白质结构预测方法仍为计算效率独立地对单个氢键进行建模。我们正在开发识别和评分债券网络的方法,但需要确定此类网络的能量。在本文中,我们进行了量子计算,以将单个氢键的能量分布与最简单的依赖相互作用,分叉的氢键的能量分布进行比较。当有两个孤对供一个受体与两个供体键合时,两个独立键的能量和一个分叉的键之间的能量差异就很小,但是一个供体与两个受体键合的难度要大得多。这些结果表明,孤对位置可能是氢键参数化比原子位置更好的基础。

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