Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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P1476

Integrating computational methods to predict mutagenicity of aromatic azo compounds.

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P2093

Alberto Manganaro

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Domenico Gadaleta

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Guido Sello

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Masamitsu Honma

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Nicola Porta

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Serena Manganelli

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P2860

QSAR modeling: where have you been? Where are you going to?

Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

Comparison of the predicted and observed secondary structure of T4 phage lysozyme

Recent advances in azo dye degrading enzyme research.

An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts.

In vitro cell transformation assays for an integrated, alternative assessment of carcinogenicity: a data-based analysis.

Evaluation of docking performance: comparative data on docking algorithms.

The contribution of azo dyes to the mutagenic activity of the Cristais River.

Computational methods in developing quantitative structure-activity relationships (QSAR): a review.

Genotoxic hazards of azo pigments and other colorants related to 1-phenylazo-2-hydroxynaphthalene.

P304

239-257

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P31

scholarly article

P356

10.1080/10590501.2017.1391521

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P433

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P478

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P50

Eleni Vrontaki

Emilio Benfenati

P577

2017-10-13T00:00:00Z

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P698

29027864

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