Feature Selection for Structure−Activity Correlation Using Binary Particle Swarms
- 1 February 2002
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Medicinal Chemistry
- Vol. 45 (5), 1098-1107
- https://doi.org/10.1021/jm0104668
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Toward an Optimal Procedure for Variable Selection and QSAR Model BuildingJournal of Chemical Information and Computer Sciences, 2001
- Nonlinear mapping of massive data sets by fuzzy clustering and neural networksJournal of Computational Chemistry, 2001
- Kolmogorov-Smirnov statistic and its application in library designJournal of Molecular Graphics and Modelling, 2000
- A Novel Method for Building Regression Tree Models for QSAR Based on Artificial Ant Colony SystemsJournal of Chemical Information and Computer Sciences, 2000
- Analysis of speciation and niching in the multi-niche crowding GATheoretical Computer Science, 1999
- GA Strategy for Variable Selection in QSAR Studies: GA-Based PLS Analysis of Calcium Channel AntagonistsJournal of Chemical Information and Computer Sciences, 1997
- Prediction of Receptor Properties and Binding Affinity of Ligands to Benzodiazepine/GABAA Receptors Using Artificial Neural NetworksJournal of Medicinal Chemistry, 1995
- Automated Descriptor Selection for Quantitative Structure-Activity Relationships Using Generalized Simulated AnnealingJournal of Chemical Information and Computer Sciences, 1995
- Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitorsJournal of Medicinal Chemistry, 1991
- Structure-activity relationships of antifilarial antimycin analogs: a multivariate pattern recognition studyJournal of Medicinal Chemistry, 1990