Evolutionary Neural Networks in Quantitative Structure-Activity Relationships of Dihydrofolate Reductase Inhibitors
- 1 January 1996
- journal article
- research article
- Published by Wiley in Quantitative Structure-Activity Relationships
- Vol. 15 (4) , 296-301
- https://doi.org/10.1002/qsar.19960150404
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- A simple and effective method for removal of hidden units and weightsNeurocomputing, 1994
- A review of evolutionary artificial neural networksInternational Journal of Intelligent Systems, 1993
- Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitorsJournal of Medicinal Chemistry, 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
- PREDICTING THE FUTURE: A CONNECTIONIST APPROACHInternational Journal of Neural Systems, 1990
- Correlation analysis. Its application to the structure-activity relation of triazines inhibiting dihydrofolate reductaseJournal of the American Chemical Society, 1975
- p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical StructureJournal of the American Chemical Society, 1964