Works matching IS 18681743 AND DT 2012 AND VI 31 AND IP 3/4
Results: 11
Multiple Kernel Learning for Drug Discovery.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 313, doi. 10.1002/minf.201100146
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- Article
QSAR Prediction of Passive Permeability in the LLC-PK1 Cell Line: Trends in Molecular Properties and Cross-Prediction of Caco-2 Permeabilities.
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- Molecular Informatics, 2012, v. 31, n. 3/4, p. 231, doi. 10.1002/minf.201100157
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- Article
Generative Topographic Mapping (GTM): Universal Tool for Data Visualization, Structure-Activity Modeling and Dataset Comparison.
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- Molecular Informatics, 2012, v. 31, n. 3/4, p. 301, doi. 10.1002/minf.201100163
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- Publication type:
- Article
Consensus Computational Ligand-Based Design for the Identification of Novel Modulators of Human Estrogen Receptor Alpha.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 246, doi. 10.1002/minf.201100127
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- Publication type:
- Article
Molecular Dynamics Simulations of G Protein-Coupled Receptors.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 222, doi. 10.1002/minf.201100138
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- Publication type:
- Article
Towards a Realistic Representation in Surface-Based Pseudoreceptor Modeling: a PDB-Wide Analysis of Binding Pockets.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 259, doi. 10.1002/minf.201100166
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- Article
Graphical Abstract: Mol. Inf. 3-4/2012.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 195, doi. 10.1002/minf.201290006
- Publication type:
- Article
Deorphanization of Malonyl CoA:ACP Transacylase Drug Target in Plasmodium falciparum (PfFabD) Using Bacterial Antagonists: A 'Piggyback' Approach for Antimalarial Drug Discovery.
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- Molecular Informatics, 2012, v. 31, n. 3/4, p. 281, doi. 10.1002/minf.201100051
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- Article
Existing and Developing Approaches for QSAR Analysis of Mixtures.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 202, doi. 10.1002/minf.201100129
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- Article
Cover Picture: (Mol. Inf. 3-4/2012).
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 193, doi. 10.1002/minf.201290005
- Publication type:
- Article
QSPR Prediction of Lipophilicity for Organic Compounds Using Random Forest Technique on the Basis of Simplex Representation of Molecular Structure.
- Published in:
- Molecular Informatics, 2012, v. 31, n. 3/4, p. 273, doi. 10.1002/minf.201100102
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- Article