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首页> 外文期刊>Journal of Medicinal Chemistry >Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery Miniperspective
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Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery Miniperspective

机译：硫和氟的数据挖掘：对药物的评估，以揭示药物设计和发现前景的机会

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摘要

Among carbon, hydrogen, oxygen, and nitrogen, sulfur and fluorine are both leading constituents of the pharmaceuticals that comprise our medicinal history. In efforts to stimulate the minds of both the general public and expert scientist, statistics were collected from the trends associated with therapeutics spanning 12 disease categories (a total of 1969 drugs) from our new graphical montage compilation: disease focused pharmaceuticals posters. Each poster is a vibrant display of a collection of pharmaceuticals (including structural image, Food and Drug Administration (FDA) approval date, international nonproprietary name (INN), initial market name, and a color-coded subclass of function) organized chronologically and classified according to an association with a particular clinical indication. Specifically, the evolution and structural diversity of sulfur and the popular integration of fluorine into drugs introduced over the past 50 years are evaluated. The presented qualitative conclusions in this article aim to promote innovative insights into drug development.
机译：碳，氢，氧和氮，硫和氟都是构成我们药物史的药物的主要成分。为了激发公众和专家科学家的思想，从我们新的图形蒙太奇编辑：以疾病为重点的药物海报中，收集了与跨越12种疾病类别（共1969种药物）的治疗相关趋势的统计数据。每张海报都生动地展示了按时间顺序分类的一系列药品（包括结构图像，食品和药物管理局（FDA）批准日期，国际非专利名称（INN），初始市场名称以及颜色编码的功能子类别）。根据与特定临床适应症的关联。具体来说，评估了硫在过去50年中的演化和结构多样性以及氟在药物中的普遍掺入情况。本文中提出的定性结论旨在促进对药物开发的创新见解。

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