Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysis
- 1 September 1990
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Medicinal Chemistry
- Vol. 33 (9) , 2583-2590
- https://doi.org/10.1021/jm00171a037
Abstract
An application of the neural network to quantitative structure-activity relationship (QSAR) analysis has been studied. The new method was compared with the linear multiregression analysis in various ways. It was found that the neural network can be a potential tool in the routine work of QSAR analysis. The mathematical relationship of operation between the neural network and the multiregression analysis was described. It was shown that the neural network can exceed the level of the linear multiregression analysis.This publication has 5 references indexed in Scilit:
- Quantitative structure-activity relationships in 2,5-bis(1-aziridinyl)-p-benzoquinone derivatives against leukemia L-1210Journal of Medicinal Chemistry, 1979
- Potential central nervous system antitumor agents. Aziridinylbenzoquinones. 2Journal of Medicinal Chemistry, 1976
- Generation of Descriptors from Molecular StructuresJournal of Chemical Information and Computer Sciences, 1976
- The Correlation of Biological Activity of Plant Growth Regulators and Chloromycetin Derivatives with Hammett Constants and Partition CoefficientsJournal of the American Chemical Society, 1963
- THE PSYCHOSEDATIVE PROPERTIES OF METHAMINODIAZEPOXIDE1960