volume 57 issue 7 pages 2832-2842

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

Publication typeJournal Article
Publication date2013-10-29
scimago Q1
wos Q1
SJR1.801
CiteScore11.5
Impact factor6.8
ISSN00222623, 15204804
PubMed ID:  24102067
Drug Discovery
Molecular Medicine
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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GOST Copy
Ilardi E. A., Vitaku E., Njardarson J. T. Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery // Journal of Medicinal Chemistry. 2013. Vol. 57. No. 7. pp. 2832-2842.
GOST all authors (up to 50) Copy
Ilardi E. A., Vitaku E., Njardarson J. T. Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery // Journal of Medicinal Chemistry. 2013. Vol. 57. No. 7. pp. 2832-2842.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1021/jm401375q
UR - https://doi.org/10.1021/jm401375q
TI - Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery
T2 - Journal of Medicinal Chemistry
AU - Ilardi, Elizabeth A
AU - Vitaku, Edon
AU - Njardarson, J. T.
PY - 2013
DA - 2013/10/29
PB - American Chemical Society (ACS)
SP - 2832-2842
IS - 7
VL - 57
PMID - 24102067
SN - 0022-2623
SN - 1520-4804
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2013_Ilardi,
author = {Elizabeth A Ilardi and Edon Vitaku and J. T. Njardarson},
title = {Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery},
journal = {Journal of Medicinal Chemistry},
year = {2013},
volume = {57},
publisher = {American Chemical Society (ACS)},
month = {oct},
url = {https://doi.org/10.1021/jm401375q},
number = {7},
pages = {2832--2842},
doi = {10.1021/jm401375q}
}
MLA
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MLA Copy
Ilardi, Elizabeth A., et al. “Data-Mining for Sulfur and Fluorine: An Evaluation of Pharmaceuticals To Reveal Opportunities for Drug Design and Discovery.” Journal of Medicinal Chemistry, vol. 57, no. 7, Oct. 2013, pp. 2832-2842. https://doi.org/10.1021/jm401375q.