Studies on the QSPR between Charged Partial Surface Area and lgP of organic compounds using genetic algorithm and neural network

Authors
Citation
M. Guo et al., Studies on the QSPR between Charged Partial Surface Area and lgP of organic compounds using genetic algorithm and neural network, CHEM J CH U, 21(1), 2000, pp. 41-44
Citations number
11
Categorie Soggetti
Chemistry
Journal title
CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE
ISSN journal
02510790 → ACNP
Volume
21
Issue
1
Year of publication
2000
Pages
41 - 44
Database
ISI
SICI code
0251-0790(200001)21:1<41:SOTQBC>2.0.ZU;2-T
Abstract
The original calculation methods of Charged Partial Surface Area(CPSA) are very complex because of considering many factors of environment the calcula tion about the contribution in surface area of atom to molecular in these m ethods are solvent accessible area; In this paper, we improved the algorith m of CPSA and calculated the "nickel" surface area of atom, using molecular mechanics and the CPSA of compounds by quantum chemistry, The satisfactory result of correlation analyze between lgP and improved CPSA of alcohol dem onstrates that our algorithm is simple and effective both genetic algorithm and neural network are well used in this research.