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首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >Radial Distribution Function descriptors for predicting affinity for vitamin D receptor.
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Radial Distribution Function descriptors for predicting affinity for vitamin D receptor.

机译:径向分布函数描述符,用于预测与维生素D受体的亲和力。

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摘要

The QSAR is an alternative method for the research of new and better Vitamin D analogues with affinity for the VDR receptor. This paper describes the results of applying the Radial Distribution Function (RDF descriptors) approach for predicting the VDR affinity of 38 vitamin D analogues. The model described 80% of the experimental variance, with a standard deviation of 0.35. Leave-one-out, bootstrapping and external set validation were carried out with the aim of evaluating the predictive power of the model. The values of their respective squared correlations coefficients were 0.72, 0.70 and 0.79. The RDF approach was compared with four other predictive models, but none of these could explain more than 71.0% of the variance with six variables in their respective models.
机译:QSAR是研究对VDR受体具有亲和力的新型更好的维生素D类似物的另一种方法。本文介绍了应用径向分布函数(RDF描述符)方法预测38种维生素D类似物的VDR亲和力的结果。该模型描述了80%的实验差异,标准偏差为0.35。为了评估模型的预测能力,进行了留一法,自举法和外部集验证。它们各自的平方相关系数的值是0.72、0.70和0.79。将RDF方法与其他四个预测模型进行了比较,但是没有一个模型可以在各自模型中使用六个变量解释超过71.0%的方差。

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