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On the Definition of Artificial Backbones for the Discretizable Molecular Distance Geometry Problem

机译:关于离散分子距离几何问题的人工主干定义

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Finding the conformation of a molecule is one of the major challenges in chemistry and biology. Information obtained by NMR experiments can be used to provide estimates of some of the distances between the atoms forming the molecule. The conformation of the molecule can be found by solving the corresponding distance geometry-problem. In this work, we focus our attention on protein conformations. We show how an artificial backbone of atoma can be defined for exploiting data from NMR in order to reformulate the distance geometry problem as combinatorial. We formally prove that this artificial backbone can only contain hydrogen atoms, and we introduce a particular ordering for such hydrogens. Computational experiments on a set of artificially generated: instances are presented.
机译:寻找分子的构象是化学和生物学的主要挑战之一。通过NMR实验获得的信息可用于估算形成分子的原子之间的某些距离。分子的构象可以通过解决相应的距离几何问题来找到。在这项工作中,我们将注意力集中在蛋白质构象上。我们展示了如何定义原子的人工骨干来利用NMR数据,以重新组合距离几何问题。我们正式证明该人工主链只能包含氢原子,并且我们为此类氢引入了特定的顺序。介绍了一组人工生成的实例的计算实验。

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