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2000年至2022年口服药物的物理化学性质分析

An analysis of the physicochemical properties of oral drugs from 2000 to 2022.

作者信息

Pirie Rachael, Stanway-Gordon Harriet A, Stewart Hannah L, Wilson Kirsty L, Patton Summer, Tyerman Jack, Cole Daniel J, Fowler Katherine, Waring Michael J

机构信息

Chemistry, School of Natural and Environmental Sciences, Newcastle University Bedson Building Newcastle upon Tyne NE1 7RU UK.

Cancer Research Horizons Newcastle Drug Discovery Unit, Chemistry, School of Natural and Environmental Sciences, Newcastle University Bedson Building Newcastle upon Tyne NE1 7RU UK

出版信息

RSC Med Chem. 2024 Jul 22;15(9):3125-3132. doi: 10.1039/d4md00160e. eCollection 2024 Sep 19.

Abstract

Calculable physicochemical descriptors are a useful guide to assist compound design in medicinal chemistry. It is well established that controlling size, lipophilicity, hydrogen bonding, flexibility and shape, guided by descriptors that approximate to these properties, can greatly increase the chances of successful drug discovery. Many therapeutic targets and new modalities are incompatible with the optimal ranges of these properties and thus there is much interest in approaches to find oral drug candidates outside of this space. These considerations have been a focus for a while and hence we analysed the physicochemical properties of oral drugs approved by the FDA from 2000 to 2022 to assess if such concepts had influenced the output of the drug-discovery community. Our findings show that it is possible to find drug molecules that lie outside of the optimal descriptor ranges and that large molecules in particular (molecular weight >500 Da) can be oral drugs. The analysis suggests that this is more likely if lipophilicity, hydrogen bonding and flexibility are controlled. Crude physicochemical descriptors are useful in that regard but more accurate and robust means of understanding substructural classes, shape and conformation are likely to be required to improve the chances of success in this space.

摘要

可计算的物理化学描述符是辅助药物化学中化合物设计的有用指南。众所周知,以近似这些性质的描述符为指导,控制分子大小、亲脂性、氢键、柔性和形状,能够大大增加药物发现成功的几率。许多治疗靶点和新的药物形式与这些性质的最佳范围不兼容,因此人们对在这个范围之外寻找口服药物候选物的方法非常感兴趣。这些考量已经成为关注焦点有一段时间了,因此我们分析了2000年至2022年美国食品药品监督管理局(FDA)批准的口服药物的物理化学性质,以评估这些概念是否影响了药物发现领域的成果。我们的研究结果表明,有可能找到处于最佳描述符范围之外的药物分子,特别是大分子(分子量>500 Da)可以成为口服药物。分析表明,如果亲脂性、氢键和柔性得到控制,这种情况更有可能发生。粗略的物理化学描述符在这方面是有用的,但可能需要更准确、更可靠的方法来理解亚结构类别、形状和构象,以提高在这个领域取得成功的几率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0231/11411612/a40ec15b49d7/d4md00160e-f1.jpg

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