ISSN 1062-936X (Print); ISSN 1029-046X (Online)
Publisher: Taylor and Francis Ltd
A modified uncorrelated linear discriminant analysis model coupled with recursive feature elimination for the prediction of bioactivity pp. 1-26(26) Authors: Chen, X.; Liang, Y. Z.; Yuan, D. L.; Xu, Q. S.
Prediction of chemical carcinogenicity by machine learning approaches pp. 27-75(49) Authors: Tan, N. X.; Rao, H. B.; Li, Z. R.; Li, X. Y.
Quantitative structure-property relationship modelling of the degradability rate constant of alkenes by OH radicals in atmosphere pp. 77-90(14) Authors: Fatemi, M. H.; Baher, E.
Modelling the depuration rates of polychlorinated biphenyls in Oncorhynchus mykiss with quantum chemical descriptors pp. 91-101(11) Authors: Wang, L.; Liu, X. H.; Wu, D.; Xu, M. Z.; Sun, T.; Cui, B. S.; Yang, Z. F.
Identification of potential influenza virus endonuclease inhibitors through virtual screening based on the 3D-QSAR model pp. 103-118(16) Authors: Kim, J.; Lee, C.; Chong, Y.
Predicting the vapour pressure of chemicals from structure: a comparison of graph theoretic versus quantum chemical descriptors pp. 119-132(14) Authors: Basak, S. C.; Mills, D.
QSAR study of selective I1-imidazoline receptor ligands pp. 133-144(12) Authors: Nikolic, K.; Filipic, S.; Agbaba, D.
Comparative PBT screening using (Q)SAR tools within REACH legislation pp. 145-157(13) Authors: Zachary, M.; Greenway, G. M.
Strategic selection of chemicals for testing. Part I. Functionalities and performance of basic selection methods pp. 159-183(25) Authors: Aladjov, H.; Todorov, M.; Schmieder, P.; Serafimova, R.; Mekenyan, O.; Veith, G.
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