Data modelling with neural networks: Advantages and limitations
- 1 January 1997
- journal article
- Published by Springer Nature in Journal of Computer-Aided Molecular Design
- Vol. 11 (2) , 135-142
- https://doi.org/10.1023/a:1008074223811
Abstract
The origins and operation of artificial neural networks are briefly described and their early application to data modelling in drug design is reviewed. Four problems in the use of neural networks in...Keywords
This publication has 10 references indexed in Scilit:
- Neural Network Studies. 2. Variable SelectionJournal of Chemical Information and Computer Sciences, 1996
- HIV-1 Reverse Transcriptase Inhibitor Design Using Artificial Neural NetworksJournal of Medicinal Chemistry, 1994
- Statistics using neural networks: chance effectsJournal of Medicinal Chemistry, 1993
- Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitorsJournal of Medicinal Chemistry, 1991
- Novel method for the display of multivariate data using neural networksJournal of Molecular Graphics, 1991
- [30] Pattern recognition methods in rational drug designPublished by Elsevier ,1991
- Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysisJournal of Medicinal Chemistry, 1990
- Neural networks applied to structure-activity relationshipsJournal of Medicinal Chemistry, 1990
- Pattern recognition display methods for the analysis of computed molecular propertiesJournal of Computer-Aided Molecular Design, 1989
- Chance factors in studies of quantitative structure-activity relationshipsJournal of Medicinal Chemistry, 1979