Greco G, Novellino E, Pellecchia M, Silipo C, Vittoria A
Dipartimento di Chimica Farmaceutica e Tossicologica, Università degli Studi di Napoli, Italy.
J Comput Aided Mol Des. 1994 Apr;8(2):97-112. doi: 10.1007/BF00119861.
An example of a CoMFA study is described with the aim to discuss one of the major problems of this 3D QSAR method: lack of variable selection. It is shown that the use of nonrelevant energy parameters might produce CoMFA contour maps which poorly reflect the actual nature of the binding site and are in part statistical artefacts. The data set employed in our analysis comprises triazine inhibitors of dihydrofolate reductase (DHFR), isolated from chicken liver, which have already been the object of a QSAR study by other authors. Since three-dimensional structures of triazine-DHFR complexes are known, it was possible not only to reduce ambiguities in the superimposition of the ligands, but also to compare the resulting CoMFA contour maps with the enzyme active site.
描述了一个比较分子场分析(CoMFA)研究的例子,目的是讨论这种三维定量构效关系(3D QSAR)方法的一个主要问题:缺乏变量选择。结果表明,使用不相关的能量参数可能会产生CoMFA等值线图,这些图不能很好地反映结合位点的实际性质,部分是统计假象。我们分析中使用的数据集包含从鸡肝中分离出的二氢叶酸还原酶(DHFR)的三嗪抑制剂,其他作者已经将其作为定量构效关系研究的对象。由于三嗪-DHFR复合物的三维结构是已知的,因此不仅可以减少配体叠加中的模糊性,还可以将所得的CoMFA等值线图与酶活性位点进行比较。