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On the computation of protein backbones by usingartificial backbones of hydrogens

机译:利用氢的人工主链计算蛋白质主链

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NMR experiments provide information from which some of the distancesbetween pairs of hydrogen atoms of a protein molecule can be estimated. Such distances canbe exploited in order to identify the three-dimensional conformation of the molecule: thisproblem is known in the literature as the Molecular Distance Geometry Problem (MDGP). Inthis paper, we show how an artificial backbone of hydrogens can be defined which allows thereformulation of the MDGP as a combinatorial problem. This is done with the aim of solvingthe problem by the Branch and Prune (BP) algorithm, which is able to solve it efficiently.Moreover, we show how the real backbone of a protein conformation can be computed byusing the coordinates of the hydrogens found by the BP algorithm. Formal proofs of thepresented results are provided, as well as computational experiences on a set of instanceswhose size ranges from 60 to 6000 atoms.
机译:NMR实验提供的信息可用来估算蛋白质分子氢原子对之间的一些距离。可以利用这样的距离来确定分子的三维构象:这个问题在文献中被称为分子距离几何问题(MDGP)。在本文中,我们展示了如何定义氢的人工主链,从而使MDGP的组合形式成为问题。这样做的目的是通过能够有效解决问题的Branch and Prune(BP)算法解决问题。此外,我们展示了如何通过使用由氢原子找到的氢的坐标来计算蛋白质构象的真正骨架。 BP算法。提供了所呈现结果的形式证明,以及一组大小范围为60到6000个原子的实例的计算经验。

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