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Molecular Complexity Calculated by Fractal Dimension

机译:分形维数计算的分子复杂度

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摘要

Molecular complexity is an important characteristic of organic molecules for drug discovery. How to calculate molecular complexity has been discussed in the scientific literature for decades. It was known from early on that the numbers of substructures that can be cut out of a molecular graph are of importance for this task. However, it was never realized that the cut-out substructures show self-similarity to the parent structures. A successive removal of one bond and one atom returns a series of fragments with decreasing size. Such a series shows self-similarity similar to fractal objects. Here we used the number of distinct fragments to calculate the fractal dimension of the molecule. The fractal dimension of a molecule is a new matter constant that incorporates all features that are currently known to be important for describing molecular complexity. Furthermore, this is the first work that reveals the fractal nature of organic molecules.
机译:分子复杂性是有机分子用于药物发现的重要特征。数十年来,如何计算分子复杂性已在科学文献中讨论。从一开始就知道,可以从分子图中切出的亚结构的数目对于该任务很重要。但是,从未意识到切出的子结构与父结构显示出自相似性。连续去除一个键和一个原子会返回一系列尺寸减小的碎片。这样的序列显示出与分形对象相似的自相似性。在这里,我们使用不同片段的数量来计算分子的分形维数。分子的分形维数是一个新的物质常数,其中包含了目前已知对于描述分子复杂性很重要的所有特征。此外,这是揭示有机分子的分形性质的第一篇著作。

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