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Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery

The melting point (MP), an easily accessible physical parameter, has considerable potential for the judgment of drug‐like properties. However, to the best of our knowledge, there are no useful guidelines for understanding the relationship between the MP and drug‐like properties. To this end, we have...

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Autores principales: Mao, Fei, Kong, Qingya, Ni, Wei, Xu, Xiang, Ling, Dazheng, Lu, Zhengyu, Li, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981057/
https://www.ncbi.nlm.nih.gov/pubmed/27547646
http://dx.doi.org/10.1002/open.201600015
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author Mao, Fei
Kong, Qingya
Ni, Wei
Xu, Xiang
Ling, Dazheng
Lu, Zhengyu
Li, Jian
author_facet Mao, Fei
Kong, Qingya
Ni, Wei
Xu, Xiang
Ling, Dazheng
Lu, Zhengyu
Li, Jian
author_sort Mao, Fei
collection PubMed
description The melting point (MP), an easily accessible physical parameter, has considerable potential for the judgment of drug‐like properties. However, to the best of our knowledge, there are no useful guidelines for understanding the relationship between the MP and drug‐like properties. To this end, we have constructed the largest MP database (experimental value) of globally approved drugs (3164 organic small‐molecule drugs) and discontinued drugs (417 organic small‐molecule drugs) and subsequently extracted six subdatabases from the whole approved database and two subdatabases from the discontinued database. The MP distribution statistics and analysis of approved drugs reveal five noteworthy observations; moreover, the MP distribution statistics and analysis of discontinued drugs further supplement these criteria. In addition, the comparison of molecular weight (MW) versus MP and Clog P versus MP distributions of different classes of approved drugs indicated that the MWs and Clog P values of most drugs in the optimal MP range were not more than 500 and 5, respectively, implying the MP distribution criterion was in accordance with Lipinski's rule of five.
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spelling pubmed-49810572016-08-19 Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery Mao, Fei Kong, Qingya Ni, Wei Xu, Xiang Ling, Dazheng Lu, Zhengyu Li, Jian ChemistryOpen Full Papers The melting point (MP), an easily accessible physical parameter, has considerable potential for the judgment of drug‐like properties. However, to the best of our knowledge, there are no useful guidelines for understanding the relationship between the MP and drug‐like properties. To this end, we have constructed the largest MP database (experimental value) of globally approved drugs (3164 organic small‐molecule drugs) and discontinued drugs (417 organic small‐molecule drugs) and subsequently extracted six subdatabases from the whole approved database and two subdatabases from the discontinued database. The MP distribution statistics and analysis of approved drugs reveal five noteworthy observations; moreover, the MP distribution statistics and analysis of discontinued drugs further supplement these criteria. In addition, the comparison of molecular weight (MW) versus MP and Clog P versus MP distributions of different classes of approved drugs indicated that the MWs and Clog P values of most drugs in the optimal MP range were not more than 500 and 5, respectively, implying the MP distribution criterion was in accordance with Lipinski's rule of five. John Wiley and Sons Inc. 2016-03-21 /pmc/articles/PMC4981057/ /pubmed/27547646 http://dx.doi.org/10.1002/open.201600015 Text en © 2016 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Full Papers
Mao, Fei
Kong, Qingya
Ni, Wei
Xu, Xiang
Ling, Dazheng
Lu, Zhengyu
Li, Jian
Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery
title Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery
title_full Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery
title_fullStr Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery
title_full_unstemmed Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery
title_short Melting Point Distribution Analysis of Globally Approved and Discontinued Drugs: A Research for Improving the Chance of Success of Drug Design and Discovery
title_sort melting point distribution analysis of globally approved and discontinued drugs: a research for improving the chance of success of drug design and discovery
topic Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981057/
https://www.ncbi.nlm.nih.gov/pubmed/27547646
http://dx.doi.org/10.1002/open.201600015
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