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Bayesian methods for the conformational classification of eight-membered rings

机译:八元环构象分类的贝叶斯方法

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摘要

Two methods for the classification of eight-membered rings based on a Bayesian analysis are presented. The two methods share the same probabilistic model for the measurement of torsion angles, but while the first method uses the canonical forms of cyclooctane and, given an empirical sequence of eight torsion angles, yields the probability that the associated structure corresponds to each of the ten canonical conformations, the second method does not assume previous knowledge of existing conformations and yields a clustering classification of a data set, allowing new conformations to be detected. Both methods have been tested using the conformational classification of Csp(3) eight-membered rings described in the literature. The methods have also been employed to classify the solid-state conformation in Csp(3) eight-membered rings using data retrieved from an updated version of the Cambridge Structural Database (CSD).
机译:提出了两种基于贝叶斯分析的八元环分类方法。两种方法具有相同的概率模型来测量扭转角,但是第一种方法使用环辛烷值的规范形式,并且在给出八个扭转角的经验序列的情况下,得出关联结构分别对应于十个中的每一个的概率规范的构象,第二种方法不假定现有构象的先前知识,而是产生数据集的聚类分类,从而可以检测到新的构象。两种方法都已经使用文献中描述的Csp(3)八元环的构象分类进行了测试。该方法还已用于使用从剑桥结构数据库(CSD)的更新版本中检索的数据对Csp(3)八元环中的固态构象进行分类。

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