SAR and QSAR in Environmental Research, Volume 27, Issue 7 (2016)

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SAR and QSAR in Environmental Research, Volume 27, Issue 7 (2016)

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Learning Methods Applied in QSAR and QSPR

Articles

Article
Robust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm
V. Drgan, Š. Župerl, M. Vračko, F. Como & M. Novič
Pages: 501-519
Published online: 20 Jun 2016
AbstractforRobust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm | Full Text | References | PDF (1.6 MB) | Supplemental
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Article
Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches
E. Papa, J. P. Doucet, A. Sangion & A. Doucet-Panaye
Pages: 521-538
Published online: 22 Jun 2016
AbstractforInvestigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches | Full Text | References | PDF (1.4 MB) | Supplemental
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Article
Room-temperature and temperature-dependent QSRR modelling for predicting the nitrate radical reaction rate constants of organic chemicals using ensemble learning methods
S. Gupta, N. Basant, D. Mohan & K. P. Singh
Pages: 539-558
Published online: 07 Jul 2016
AbstractforRoom-temperature and temperature-dependent QSRR modelling for predicting the nitrate radical reaction rate constants of organic chemicals using ensemble learning methods | Full Text | References | PDF (1.9 MB) | Supplemental
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Article
Chemical and in vitro biological information to predict mouse liver toxicity using recursive random forests
X.-W. Zhu, Y.-J. Xin & Q.-H. Chen
Pages: 559-572
Published online: 29 Jun 2016
AbstractforChemical and in vitro biological information to predict mouse liver toxicity using recursive random forests | Full Text | References | PDF (1.3 MB) | Supplemental
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Article
Comparison of in silico tools for binding site prediction applied for structure-based design of autolysin inhibitors
T. Tibaut, J. Borišek, M. Novič & D. Turk
Pages: 573-587
Published online: 16 Aug 2016
AbstractforComparison of in silico tools for binding site prediction applied for structure-based design of autolysin inhibitors | Full Text | References | PDF (2.5 MB)
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Article
Investigation of the inhibitors of histone-lysine N-methyltransferase SETD2 for acute lymphoblastic leukaemia from traditional Chinese medicine
Y.-L. Chang, H.-Y. Chen, K.-B. Chen, K.-C. Chen, K.-L. Chang, P.-C. Chang, T.-T. Chang & Y.-C. Chen
Pages: 589-608
Published online: 24 May 2016
AbstractforInvestigation of the inhibitors of histone-lysine N-methyltransferase SETD2 for acute lymphoblastic leukaemia from traditional Chinese medicine | Full Text | References | PDF (11.2 MB)
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