Bultinck Patrick, Carbó-Dorca Ramon, Van Alsenoy Christian
Department of Inorganic and Physical Chemistry, Ghent University, Krijgslaan 281 (S-3), B-9000 Gent, Belgium.
J Chem Inf Comput Sci. 2003 Jul-Aug;43(4):1208-17. doi: 10.1021/ci034060a.
The calculation of molecular quantum similarity measures using the molecular electron density requires the electron density and molecular alignment between two molecules. To obtain meaningful quantum similarity matrices, the electron density should be calculated efficiently and accurately and the alignment should be internally consistent. The internal consistency of the alignment for a series of molecules is investigated through distance geometry concepts. The calculation of the quantum similarity matrix requires the calculation of a quadratic number of similarity integrals, and a scheme to obtain these efficiently is developed. Both the alignment procedure and the ASA method for approximate molecular electron densities are tested for a set of steroid molecules.
使用分子电子密度计算分子量子相似性度量需要两个分子之间的电子密度和分子排列。为了获得有意义的量子相似性矩阵,电子密度应高效且准确地计算,并且排列应内在一致。通过距离几何概念研究了一系列分子排列的内在一致性。量子相似性矩阵的计算需要计算二次数量的相似性积分,并开发了一种有效获得这些积分的方案。针对一组甾体分子测试了排列程序和用于近似分子电子密度的ASA方法。