SAR and QSAR in Environmental Research, Volume 30, Issue 3 (2019)

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SAR and QSAR in Environmental Research, Volume 30, Issue 3 (2019)

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Articles

Article
Development of prediction model for fructose- 1,6- bisphosphatase inhibitors using the Monte Carlo method
Manisha, S. Chauhan, P. Kumar & A. Kumar
Pages: 145-159
Published online: 19 Feb 2019
AbstractforDevelopment of prediction model for fructose- 1,6- bisphosphatase inhibitors using the Monte Carlo method | Full Text | References | PDF (1.7 MB) | EPUB | Supplemental
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Article
Molecular modelling studies on adamantane-based Ebola virus GP-1 inhibitors using docking, pharmacophore and 3D-QSAR
S.N. Mali & H.K. Chaudhari
Pages: 161-180
Published online: 20 Feb 2019
AbstractforMolecular modelling studies on adamantane-based Ebola virus GP-1 inhibitors using docking, pharmacophore and 3D-QSAR | Full Text | References | PDF (2.5 MB) | EPUB | Supplemental
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Article
An ensemble method for multi-type Gram-negative bacterial secreted protein prediction by integrating different PSSM-based features
L. Kong & L. Zhang
Pages: 181-194
Published online: 11 Feb 2019
AbstractforAn ensemble method for multi-type Gram-negative bacterial secreted protein prediction by integrating different PSSM-based features | Full Text | References | PDF (1.3 MB) | EPUB | Supplemental
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Article
Structural and molecular modelling studies of antimelanogenic piper-amide TRPM1 antagonists
J.-Y. Lee, H. Cho, E. Hwang, S.Y. Kim & S. Kim
Pages: 195-207
Published online: 18 Feb 2019
AbstractforStructural and molecular modelling studies of antimelanogenic piper-amide TRPM1 antagonists | Full Text | References | PDF (1.7 MB) | EPUB | Supplemental
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Article
Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine
S. Zhang, T. Zhang & C. Liu
Pages: 209-228
Published online: 26 Feb 2019
AbstractforPrediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine | Full Text | References | PDF (2.2 MB) | EPUB | Supplemental
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