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Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery: Miniperspective

Ilardi, Elizabeth A., Vitaku, Edon, Njardarson, Jon T.·2014·Journal of Medicinal Chemistry

Abstract

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.

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Metadata

Authors
Ilardi, E. A., Vitaku, E., & Njardarson, J. T.
Venue
Journal of Medicinal Chemistry
Published
2013-10-29
Volume
57
Issue
7
Pages
2832-2842
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2395303858
Cited by
1,604
References
0
FWCI
42.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery: Miniperspective. https://app.cochat.ai/papers/10.1021/jm401375q
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Ilardi, E. A., Vitaku, E., & Njardarson, J. T. (2014). Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery: Miniperspective. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm401375q

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.