The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.

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The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.

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2016 nî lūn-bûn

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2016年の論文

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年学术文章

@zh-my

2016年学术文章

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2016年學術文章

@yue

2016年學術文章

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2016年學術文章

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name

The Consultancy Activity on In ...... of Pharmaceutical Impurities.

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The Consultancy Activity on In ...... of Pharmaceutical Impurities.

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type

Item

label

The Consultancy Activity on In ...... of Pharmaceutical Impurities.

@en

The Consultancy Activity on In ...... of Pharmaceutical Impurities.

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prefLabel

The Consultancy Activity on In ...... of Pharmaceutical Impurities.

@en

The Consultancy Activity on In ...... of Pharmaceutical Impurities.

@nl

P1476

The Consultancy Activity on In ...... of Pharmaceutical Impurities.

@en

P2093

Arianna Bassan

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Chihae Yang

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Elena Fioravanzo

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Lorenza Broccardo

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Manuela Pavan

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Simona Kovarich

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P2860

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

In silico methods to predict drug toxicity.

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

(Q)SAR assessments of potentially mutagenic impurities: a regulatory perspective on the utility of expert knowledge and data submission.

An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: II. Identification of genotoxicants, reprotoxicants, and carcinogens using in silico methods.

An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: I. Identification of carcinogens using surrogate endpoints.

Role of in silico genotoxicity tools in the regulatory assessment of pharmaceutical impurities.

Latest advances in computational genotoxicity prediction.

Use of in silico systems and expert knowledge for structure-based assessment of potentially mutagenic impurities.

Novel technologies and an overall strategy to allow hazard assessment and risk prediction of chemicals, cosmetics, and drugs with animal-free methods.

P304

511-529

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P31

scholarly article

P356

10.1007/978-1-4939-3609-0_21

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P407

English

P478

1425

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P577

2016-01-01T00:00:00Z

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P698

27311479

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