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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

机译:全球批准和停产药物的熔点分布分析:提高药物设计和发现成功机会的研究

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摘要

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.
机译:熔点(MP)是一种易于获取的物理参数,在判断类药物性质方面具有相当大的潜力。然而,就我们所知,尚无有用的指南来理解MP和类药物特性之间的关系。为此,我们建立了全球认可的药物(3164种有机小分子药物)和停产药物(417种有机小分子药物)最大的MP数据库(实验值),然后从整个批准的数据库中提取了6个子数据库和2个已停产数据库中的子数据库。国会议员的分布统计数据和对获批药物的分析揭示了五个值得注意的观察结果;此外,MP分布统计和停药分析还进一步补充了这些标准。此外,比较不同类别的获批药物的分子量(MW)与MP和Clog ofP与MP分布的比较表明,大多数药物在最佳MP范围内的MWs和Clog P值分别不超过500和5 ,这意味着MP分配标准符合Lipinski的5条规则。

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