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Дата выпуска 2009
ISBN 978-0-85404-160-2
Формат application.pdf
Издатель Royal Society of Chemistry
Название Chapter 11. Rule Discovery
Тип other
DOI 10.1039/9781847559807-00110
Print ISSN 2041-3181
Журнал Knowledge-based Expert Systems in Chemistry: Not Counting on Computers
Первая страница 110
Последняя страница 118
Библиографическая ссылка C. Hansch, T. Fujita, A Method for the Correlation of Biological Activity and Chemical Structure, J. Am. Chem. Soc., 1964, 86, 1616, 1626
Библиографическая ссылка T. Fujita, J. Isawa, C. Hansch, A New Substituent Constant, Ï , Derived from Partition Coefficient, J. Am. Chem. Soc., 1964, 86, 5175, 5180
Библиографическая ссылка L. H. Hall, B. Mohney, L. B. Kier, The Electrotopological State: Structure Information at the Atomic Level for Molecular Graphs, J. Am. Chem. Soc., 1991, 31, 76, 82
Библиографическая ссылка M. J. Kamlet, J.-L. M. Abboud, M. H. Abraham, R. W. Taft, Linear Solvation Energy Relationships. 23. A Comprehensive Collection of the Solvatochromic Parameters, Ï *, α, and β, and Some Methods for Simplifying the Generalised Solvatochromic Equation, J. Org. Chem., 1983, 48, 2877, 2887
Библиографическая ссылка K. Enslein, P. N. Craig, Carcinogenesis: a Predictive Structure-Activity Model, J. Toxicol. Environ. Health, 1982, 10, 521, 530
Библиографическая ссылка K. Enslein, V. K. Gombar, B. W. Blake, Use of SAR in Computer-Assisted Prediction of Carcinogenicity and Mutagenicity of Chemicals by the TOPKAT Program, Mutation Res., 1994, 305, 47, 62
Библиографическая ссылка G. Klopman, Artificial Intelligence Approach to Structure-Activity Studies: Computer Automated Structure Evaluation of Biological Activity of Organic Molecules, J. Am. Chem. Soc., 1984, 106, 7315, 7321
Библиографическая ссылка G. Klopman, S. K. Chakravarti, H. Zhu, J. M. Ivanov, R. D. Saiakhov, ESP: a Method to Predict Toxicity and Pharmacological Properties of Chemicals Using Multiple MCASE Databases, J. Chem. Inf. Comput. Sci., 2004, 44, 704, 715
Библиографическая ссылка P. N. Judson, Rule Induction for Systems Predicting Biological Activity, J. Chem. Inf. Comput. Sci., 1994, 34, 148, 53
Библиографическая ссылка R. E. Carhart, D. H. Smith, R. Venkataraghavan, Atom Pairs as Molecular Features in Structure-Activity Studies: Definition and Applications, J. Chem. Inf. Comput. Sci., 1985, 25, 64, 73
Библиографическая ссылка R. Kühne, R. -U. Ebert, G. Schüürmann, Estimation of Compartmental Half-Lives of Organic Compoundsâ Structural Similarity vs. EPI-Suite, QSAR Comb. Sci., 2007, 26, 542, 549
Библиографическая ссылка J. R. Quinlan, Induction of Decision Trees, Machine Learning, 1986, 1, 81, 106
Библиографическая ссылка R. D. King, A. Srinivasan, Prediction of Rodent Carcinogenicity Bioassays from Molecular Structure Using Inductive Logic Programming, Environ. Health, Perspect., 1996, 104, 1031, 1040
Библиографическая ссылка M. Vracko, V. Bandelj, P. Barbieri, E. Benfenati, Q. Chaudhry, M. Cronin, J. Devillers, A. Gallegos, G. Gini, P. Gramatica, C. Helma, D. Neagu, T. Netzeva, M. Pavan, G. Patlevicz, M. Randic, I. Tsakovska, A. Worth, Validation of Counter Propagation Neural Network Models for Predictive Toxicology According to the OECD Principles. A Case Study, SAR QSAR Environ. Res., 2006, 17, 265, 284
Библиографическая ссылка F. V. Buontempo, X. Z. Wang, M. Mwense, N. Horan, A. Young, D. Osborn, Genetic Programming for the Induction of Decision Trees to Model Ecotoxicity Data, J. Chem. Inf. Model., 2005, 45, 904, 912
Библиографическая ссылка C. Helma, T. Cramer, S. Cramer, L. De Raedt, Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds, J. Chem. Inf. Comput. Sci., 2004, 44, 1402, 1411

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