相似性(几何)
化学相似性
主成分分析
分子描述符
化学空间
污染物
欧几里德距离
数据挖掘
结构相似性
数量结构-活动关系
计算机科学
化学
药物发现
人工智能
机器学习
图像(数学)
生物化学
有机化学
作者
Patrik L. Andersson,Jerker Fick,Stefan Rännar
摘要
A structural similarity tool was developed and aimed to search for environmentally persistent drugs. The basis for the tool was a selection of so-called anchor molecules and a multidimensional chemical map of drugs. The map was constructed using principal component analysis covering 899 drugs described by 67 diverse calculated chemical descriptors. The anchor molecules (diclofenac, trimethoprim, and carbamazepine) were selected to represent drugs of known environmental concern. In addition 12 chemicals listed by the Stockholm Convention on persistent organic pollutants were used representing typical environmental pollutants. Chemical similarity was quantified by measuring relative Euclidean distances in the five-dimensional chemical map, and more than 100 nearest neighbors (kNNs) were found within a relative distance of less than 10% from each drug anchor. The developed chemical similarity approach not only identified persistent or semipersistent drugs but also a large number of potentially persistent drugs lacking environmental fate data.
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