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难溶性可电离药物的药物聚集:罂粟碱和前列腺素F2α的分子动力学模拟

Drug Aggregation of Sparingly-Soluble Ionizable Drugs: Molecular Dynamics Simulations of Papaverine and Prostaglandin F2α.

作者信息

Skrdla Peter J, Coscia Benjamin J, Gavartin Jacob, Browning Andrea, Shelley John

出版信息

Mol Pharm. 2023 Oct 2;20(10):5135-5147. doi: 10.1021/acs.molpharmaceut.3c00429. Epub 2023 Sep 6.

Abstract

Aggregation in aqueous solution can have important implications on both the exposure of a drug and its pharmaceutical manufacturability. However, the drug aggregates formed can be very small and, thus, difficult to interrogate experimentally. On the other hand, at higher supersaturations where larger aggregates are supported, the chemical system is inherently metastable and therefore likewise challenging to study from an experimental standpoint. Understanding aggregation behavior is further complicated in the case of ionizable drugs where, unlike neutral compounds, there can be uncertainty in the kinds of drug molecules (i.e., charged, neutral, or both) that become incorporated into various clusters, particularly at pH values near the p. In this paper, we apply physics-based all-atom molecular dynamics (MD) simulations to study aggregation in the weakly basic drug papaverine and in the weakly acidic drug prostaglandin F2α. We employ tools to construct simulation workflows and comprehensive cluster analysis protocols to elucidate the size distributions and dynamics of the drug aggregates formed at both an experimentally relevant concentration and at high supersaturation. We build on a previously published treatment [Solubility of sparingly soluble ionizable drugs. 2007, 59, 568-590, DOI: 10.1016/j.addr.2007.05.008] to translate the predicted aggregate distributions of each ionized drug into corresponding pH-solubility curves that can be compared directly to experiment. Our findings show that the assumption of a single predominant (charged) aggregate can be misleading in interpreting experimental pH-solubility curves, as it does not adequately reflect the rich diversity revealed in our simulations. Beyond not accounting for the distribution of ionized drug-containing clusters actually observed in solution, for both drugs we find evidence that neutral drug molecules can also participate in the aggregation phenomena. Notably, we observe that many drug molecules remain as free monomers in solution even under simulated conditions designed to mimic those where there is significant deviation of the experimental pH-solubility curve from the Henderson-Hasselbalch (H-H) equation, often taken to be a clear signpost of drug aggregation.

摘要

药物在水溶液中的聚集对药物的暴露及其药物可制造性都可能产生重要影响。然而,形成的药物聚集体可能非常小,因此很难通过实验进行研究。另一方面,在支持形成较大聚集体的更高过饱和度下,化学体系本质上是亚稳态的,因此从实验角度研究同样具有挑战性。对于可电离药物而言,理解其聚集行为会更加复杂,因为与中性化合物不同,对于纳入各种聚集体的药物分子种类(即带电、中性或两者皆有)可能存在不确定性,特别是在接近pKa的pH值下。在本文中,我们应用基于物理的全原子分子动力学(MD)模拟来研究弱碱性药物罂粟碱和弱酸性药物前列腺素F2α中的聚集现象。我们使用工具构建模拟工作流程和全面的聚类分析协议,以阐明在实验相关浓度和高过饱和度下形成的药物聚集体的尺寸分布和动力学。我们基于先前发表的研究[难溶性可电离药物的溶解度。2007年,59,568 - 590,DOI: 10.1016/j.addr.2007.05.008],将每种离子化药物的预测聚集体分布转化为相应的pH - 溶解度曲线,以便能直接与实验进行比较。我们的研究结果表明,在解释实验pH - 溶解度曲线时,假设单一主要(带电)聚集体可能会产生误导,因为它没有充分反映我们模拟中揭示的丰富多样性。除了没有考虑溶液中实际观察到的含离子化药物聚集体的分布外,对于这两种药物,我们都发现有证据表明中性药物分子也可以参与聚集现象。值得注意的是,我们观察到即使在模拟条件下,旨在模拟实验pH - 溶解度曲线与亨德森 - 哈塞尔巴尔赫(H - H)方程有显著偏差的情况,许多药物分子仍以游离单体形式存在于溶液中,而H - H方程常被视为药物聚集的明确标志。

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