Qualitative consensus of QSAR ready biodegradability predictions

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Read-across of ready biodegradability based on the substrate specificity of N-alkyl polypropylene polyamine-degrading microorganisms.

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Q38798827-2F28F642-BAA0-49EA-9C9F-6F5A30819DDF

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Qualitative consensus of QSAR ready biodegradability predictions

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wetenschappelijk artikel

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наукова стаття, опублікована в грудні 2016

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Qualitative consensus of QSAR ready biodegradability predictions

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Qualitative consensus of QSAR ready biodegradability predictions

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Qualitative consensus of QSAR ready biodegradability predictions

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Qualitative consensus of QSAR ready biodegradability predictions

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Qualitative consensus of QSAR ready biodegradability predictions

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Qualitative consensus of QSAR ready biodegradability predictions

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Qualitative consensus of QSAR ready biodegradability predictions

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P2093

Fabrizio Biganzoli

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Viviana Consonni

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Probabilistic assessment of biodegradability based on metabolic pathways: CATABOL System

The Generation of a Unique Machine Description for Chemical Structures-A Technique Developed at Chemical Abstracts Service

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Data fusion methodologies for food and beverage authentication and quality assessment - a review.

Quantitative structure-activity relationship models for ready biodegradability of chemicals.

Development of a predictive model for biodegradability based on BIODEG, the evaluated biodegradation data base.

LeadScope: software for exploring large sets of screening data.

Data analysis and alternative modelling of MITI-I aerobic biodegradation.

A Bayesian approach to analyzing ecotoxicological data.

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1-24

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scholarly article

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10.1080/02772248.2016.1260133

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Roberto Todeschini

Davide Ballabio

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2016-12-02T00:00:00Z

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biodegradation

Qualitative consensus of QSAR ready biodegradability predictions

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P2860

P2860

Qualitative consensus of QSAR ready biodegradability predictions

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type

label

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P1433

P1476

P2093

P2860

P304

P31

P356

P50

P577

P921

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P50

P577

P921