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The pKa Distribution of Drugs: Application to Drug Discovery

机译:药物的pKa分布:在药物发现中的应用

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The acid-base dissociation constant (pKa) of a drug is a key physicochemical parameter influencing many biopharmaceutical characteristics. While this has been well established, the overall proportion of non-ionizable and ionisable compounds for drug-like substances is not well known. Even less well known is the overall distribution of acid and base pKa values. The current study has reviewed the literature with regard to both the proportion of ionizable substances and pKa distributions. Further to this a set of 582 drugs with associated pKa data was thoroughly examined to provide a representative set of observations. This was further enhanced by delineating the compounds into CNS and non-CNS drugs to investigate where differences exist. Interestingly, the distribution of pKa values for single acids differed remarkably between CNS and non-CNS substances with only one CNS compound having an acid pKa below 6.1. The distribution of basic substances in the CNS set also showed a marked cut off with no compounds having a pKa above 10.5.The pKa distributions of drugs are infl uenced by two main drivers. The fi rst is related to the nature and frequency of occurrence of the functional groups that are commonly observed in pharmaceuticals and the typical range of pKa values they span. The other factor concerns the biological targets these compounds are designed to hit. For example, many CNS targets are based on seven transmembrane G protein-coupled receptors (7TM GPCR) which have a key aspartic acid residue known to interact with most ligands. As a consequence, amines are mostly present in the ligands that target 7TM GPCR’s and this influences the pKa profi le of drugs containing basic groups. For larger screening collections of compounds, synthetic chemistry and the working practices of the chemists themselves can influence the proportion of ionizable compounds and consequent pKa distributions. The findings from this study expand on current wisdom in pKa research and have implications for discovery research with regard to the composition of corporate databases and collections of screening compounds. Rough guidelines have been suggested for the profile of compound collections and will evolve as this research area is expanded.
机译:药物的酸碱解离常数(pKa)是影响许多生物药物特性的关键物理化学参数。尽管已经很好地确定了这一点,但对于药物样物质而言,不可电离和可电离的化合物的总体比例尚不清楚。酸和碱pKa值的总体分布还鲜为人知。当前的研究回顾了有关可电离物质的比例和pKa分布的文献。除此之外,还彻底检查了582种具有相关pKa数据的药物,以提供一组有代表性的观察结果。通过将化合物划定为CNS和非CNS药物以研究存在差异的地方,这一点得到了进一步增强。有趣的是,单一酸的pKa值分布在CNS和非CNS物质之间显着不同,只有一种CNS化合物的酸pKa低于6.1。 CNS组中基本物质的分布也显示出明显的截止值,没有pKa高于10.5的化合物。药物的pKa分布受两个主要驱动因素的影响。首先,与药物中常见的官能团的发生性质和频率以及它们所跨越的pKa值的典型范围有关。另一个因素涉及这些化合物旨在达到的生物学目标。例如,许多CNS靶标均基于七个跨膜G蛋白偶联受体(7TM GPCR),它们具有关键的天冬氨酸残基,已知与大多数配体相互作用。结果,胺主要存在于靶向7TM GPCR的配体中,这会影响含有碱性基团的药物的pKa特性。对于化合物的更大筛选收集,合成化学和化学家本身的工作实践会影响可电离化合物的比例以及随之而来的pKa分布。这项研究的发现扩展了pKa研究的当前智慧,对有关公司数据库的组成和筛选化合物集合的发现研究具有启示意义。对于化合物集合的概况,已经提出了粗略的指导方针,随着该研究领域的扩大,该指导方针将不断发展。

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