5 -羟色胺转运体配体的三维QSAR: CoMFA和CoMSIA研究

Julia Wellsow, H. Machulla, K. Kovar
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引用次数: 15

摘要

本研究的主要目的是对5 -羟色胺转运体配体的定量构效关系进行研究,以期为5 -羟色胺转运体开发潜在的新型和选择性PET放射性示踪剂。使用了19种选择性和非选择性血清素再摄取抑制剂的异质性数据集。血清素转运体和去甲肾上腺素转运体的亲和数据是可用的。作为我们3D QSAR研究的必要先决条件,使用GASP开发了化合物的合理排列。它是基于一个现有的药效团模型。除了广泛使用的CoMFA法外,还采用了较新的CoMSIA法。对血清素转运体(q 2 =0.538)和去甲肾上腺素转运体(q 2 =0.445)均建立了统计可靠的CoMFA模型,通过对血清素转运体(q 2 =0.674)应用区域聚焦进一步提高了内部可预测性。将这些模型与CoMSIA的血清素和去甲肾上腺素转运体模型进行比较,得出可比较的交叉验证相关系数(q2 =0.531和q2 =0.502)。确定了每种转运蛋白特有的某些结构特征,这些特征对高结合亲和力很重要。CoMFA和CoMSIA结果具有高度可比性。两种方法均用于阐明血清素转运体选择性的结构要求。所得到的CoMSIA图谱为铅的选择性优化提供了重要的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D QSAR of Serotonin Transporter Ligands: CoMFA and CoMSIA Studies
The main purpose of this study was the investigation of quantitative structure-activity relationships of serotonin transporter ligands with regard to the future development of potential new and selective PET radiotracers for the serotonin transporter. A heterogeneous data set of 19 selective and non-selective serotonin reuptake inhibitors was used. Affinity data for both the serotonin transporter and the norepinephrine transporter was available. As a necessary prerequisite for our 3D QSAR studies a reasonable alignment of the compounds was developed using GASP. It was based on an existing pharmacophore model. In addition to the widely used CoMFA method, the somewhat newer CoMSIA method was applied. Statistically reliable CoMFA models for both the serotonin transporter (q 2 =0.538) and the norepinephrine transporter (q 2 =0.445) were developed, further improving the internal predictability by applying region focusing for the serotonin transporter (q 2 =0.674). These models were compared with the CoMSIA models for the serotonin and the norepinephrine transporter that yielded comparable cross-validated correlation coefficients (q 2 =0.531 and q 2 =0.502, respectively). Certain structural features that are distinctive of each transporter and important for high binding affinity were identified. Highly comparable results were obtained for CoMFA and CoMSIA. Both methods were applied to elucidate structural requirements for serotonin transporter selectivity. The resulting CoMSIA map provides important information for lead optimization with respect to selectivity enhancement.
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