Du Qi-Shi, Huang Ri-Bo, Wei Yu-Tuo, Du Li-Qin, Chou Kuo-Chen
Guangxi University, Guangxi Key Laboratory of Subtropical Bioresource Conservation and Utilization, Nanning, Guangxi, 530004, China.
J Comput Chem. 2008 Jan 30;29(2):211-9. doi: 10.1002/jcc.20776.
A new drug design method, the multiple field three-dimensional quantitative structure-activity relationship (MF-3D-QSAR), is proposed. It is a combination and development of classical 2D-QSAR and traditional 3D-QSAR. In addition to the electrostatic and van der Waals potentials, more potential fields (such as lipophilic potential, hydrogen bonding potential, and nonthermodynamic factors) are integrated in the MF-3D-QSAR. Meanwhile, a principal component analysis (PCA) and iterative double least square (IDLS) technique is developed for predicting the bioactivity of query drug candidates. As an example, the MF-3D-QSAR is applied to the design of neuraminidase inhibitor and to prove its predictive power, and some useful findings are obtained for developing drugs against influenza virus.
提出了一种新的药物设计方法——多场三维定量构效关系(MF-3D-QSAR)。它是经典二维定量构效关系(2D-QSAR)和传统三维定量构效关系(3D-QSAR)的结合与发展。除了静电势和范德华势之外,MF-3D-QSAR还整合了更多的势场(如亲脂势、氢键势和非热力学因素)。同时,开发了主成分分析(PCA)和迭代双最小二乘法(IDLS)技术来预测候选药物的生物活性。作为一个例子,MF-3D-QSAR被应用于神经氨酸酶抑制剂的设计,以证明其预测能力,并获得了一些针对开发抗流感病毒药物的有用发现。