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构效关系:P-糖蛋白底物与抑制剂的分析

Structure-activity relationship: analyses of p-glycoprotein substrates and inhibitors.

作者信息

Wang R B, Kuo C L, Lien L L, Lien E J

机构信息

School of Pharmacy, Shandong University, Jinan, People's Republic of China.

出版信息

J Clin Pharm Ther. 2003 Jun;28(3):203-28. doi: 10.1046/j.1365-2710.2003.00487.x.

Abstract

OBJECTIVE

A large number of structurally and functionally diverse compounds act as substrates or modulators of p-glycoprotein (p-gp). Some of them possess multiple drug resistance (MDR)-reversing activity, but only a small number of them have entered clinical study. In order to uncover the factors which exert a significant impact on the interaction between substrates/modulators and p-gp, we have performed structure-activity relationship (SAR) analyses, including molecular modelling, two-dimensional (2D) and three-dimensional (3D) parameter-frame-setting analysis, quantitative structure activity relationship (QSAR) analysis among substrates/modulators, as well as clinically promising MDR-reversing agents.

METHODS

The physicochemical parameters C log P, CMR and all regression equations were derived by using C log P version 4.0 and the latest CQSAR software, respectively. Molecular modelling and all other parameter calculations were performed by using HyperChem version 5.0 program, after geometry optimization and energy minimization using the AM1 semiempirical method.

RESULTS

SAR analyses indicate that MDR reversal activity is correlated with the lipophilicity (C log P), molecular weight (log Mw), longest chain (Nlc) of the molecule and the energy of the highest occupied orbital (Ehomo). In addition, the presence of a basic tertiary nitrogen atom in the structure is also an important contributor to p-gp inhibitory activity. Some separation in space is achieved for different subsets of p-gp substrates and inhibitors using Nlc, C log P and Ehomo as three independent parameters in the 3D-parameter-frame setting.

CONCLUSION

A highly effective p-gp modulator candidate should possess a log P value of 2.92 or higher, 18-atom-long or longer molecular axis, and a high Ehomo value, as well as at least one tertiary basic nitrogen atom. The results obtained may be useful in explaining drug-p-gp interactions for different compounds, including drug interactions and the development of new MDR chemosensitizers.

摘要

目的

大量结构和功能各异的化合物可作为P-糖蛋白(p-gp)的底物或调节剂。其中一些具有多药耐药(MDR)逆转活性,但只有少数进入了临床研究。为了揭示对底物/调节剂与p-gp之间相互作用有重大影响的因素,我们进行了构效关系(SAR)分析,包括分子建模、二维(2D)和三维(3D)参数框架设定分析、底物/调节剂之间的定量构效关系(QSAR)分析,以及具有临床前景的MDR逆转剂分析。

方法

分别使用C log P版本4.0和最新的CQSAR软件得出理化参数C log P、CMR和所有回归方程。在使用AM1半经验方法进行几何优化和能量最小化后,使用HyperChem版本5.0程序进行分子建模和所有其他参数计算。

结果

SAR分析表明,MDR逆转活性与分子的亲脂性(C log P)、分子量(log Mw)、最长链(Nlc)以及最高占据轨道能量(Ehomo)相关。此外,结构中存在碱性叔氮原子也是p-gp抑制活性的重要贡献因素。在3D参数框架设定中,使用Nlc、C log P和Ehomo作为三个独立参数,对p-gp底物和抑制剂的不同子集实现了一定程度的空间分离。

结论

高效的p-gp调节剂候选物应具有2.92或更高的log P值、18个原子或更长的分子轴、较高的Ehomo值,以及至少一个叔碱性氮原子。所得结果可能有助于解释不同化合物的药物-p-gp相互作用,包括药物相互作用和新型MDR化学增敏剂的开发。

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