Boudreau R J, Efange S M
Department of Radiology, University of Minnesota, Minneapolis.
Invest Radiol. 1992 Aug;27(8):653-8. doi: 10.1097/00004424-199208000-00017.
The ultimate goal of a QSAR analysis is prediction, which depends on the elaboration of the most appropriate set of molecular descriptors. As such, molecular description is the nucleus of QSAR and in the absence of exhaustive molecular description, rational drug design may be greatly impeded. As previously discussed, computational methods such as quantum mechanics and molecular mechanics provide molecular description at a fundamental level which then enhances the descriptive capability and predictive power of a QSAR analysis. In recognition of these capabilities, semi-empirical molecular orbital methods and molecular mechanics now have been incorporated into or interphased with QSAR programs. Such integrated packages are being successfully used in computer-aided molecular modeling. Computer-aided molecular modeling can provide the three-dimensional structure of a molecule, its chemical and physical characteristics, comparisons of structures of different molecules, and visualization of complexes formed between them. From the foregoing, predictions may be made about how related new molecules may function. Thus, the combination of quantum and/or molecular mechanics and QSAR provides a formidable weapon in the chemist's armamentarium. The molecular modeling approaches are certainly more practical to use than physicochemical methods. They also provide electronic and thermodynamic data that are not available from x-ray crystallographic data. Of course, these techniques are not confined to radiopharmaceutical development and they also could aid in the development of contrast agents for radiography or magnetic resonance imaging. We believe that as computational resources and capabilities increase over the next decade, computer-aided drug design will become a standard procedure in all drug development laboratories.
定量构效关系(QSAR)分析的最终目标是预测,这取决于精心挑选最合适的一组分子描述符。因此,分子描述是QSAR的核心,若缺乏详尽的分子描述,合理药物设计可能会受到极大阻碍。如前所述,量子力学和分子力学等计算方法能在基础层面提供分子描述,进而增强QSAR分析的描述能力和预测能力。鉴于这些能力,半经验分子轨道方法和分子力学现已被纳入QSAR程序或与之相结合。此类集成软件包正成功应用于计算机辅助分子建模。计算机辅助分子建模能够提供分子的三维结构、其化学和物理特性、不同分子结构的比较,以及它们之间形成的复合物的可视化。基于上述内容,可以对相关新分子的功能进行预测。因此,量子力学和/或分子力学与QSAR的结合为化学家提供了一件强大的武器。分子建模方法肯定比物理化学方法更实用。它们还能提供X射线晶体学数据无法获得的电子和热力学数据。当然,这些技术并不局限于放射性药物研发,它们也有助于开发用于放射成像或磁共振成像的造影剂。我们相信,在未来十年随着计算资源和能力的提升,计算机辅助药物设计将成为所有药物研发实验室的标准程序。