Suchergebnisse

Can the Monte Carlo method predict the toxicity of binary mixtures?

In: Environmental science and pollution research: ESPR, Band 28, Heft 29, S. 39493-39500

ISSN: 1614-7499

Use of the index of ideality of correlation to improve models of eco-toxicity

In: Environmental science and pollution research: ESPR, Band 25, Heft 31, S. 31771-31775

ISSN: 1614-7499

Use of Quasi-Smiles to Build Models Based on Quantitative Results from Experiments with Nanomaterials

In: CHEM97756

CORAL and Nano-QFAR: Quantitative feature – Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co 3 O 4 , and TiO 2 )

In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 139, S. 404-407

ISSN: 1090-2414

Odor threshold prediction by means of the Monte Carlo method

In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 133, S. 390-394

ISSN: 1090-2414

Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions

In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 112, S. 39-45

ISSN: 1090-2414

QSAR as a random event: a case of NOAEL

In: Environmental science and pollution research: ESPR, Band 22, Heft 11, S. 8264-8271

ISSN: 1614-7499

The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides

In: Environmental science and pollution research: ESPR, Band 27, Heft 12, S. 13339-13347

ISSN: 1614-7499

Developing innovative in silico models with EFSA's OpenFoodTox database

In: EFSA supporting publications, Band 14, Heft 7

ISSN: 2397-8325

Optimal descriptor as a translator of eclectic information into the prediction of membrane damage: The case of a group of ZnO and TiO2 nanoparticles

In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 108, S. 203-209

ISSN: 1090-2414

Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides

In: Environmental science and pollution research: ESPR, Band 22, Heft 1, S. 745-757

ISSN: 1614-7499

Nano-QSAR: Model of mutagenicity of fullerene as a mathematical function of different conditions

In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 124, S. 32-36

ISSN: 1090-2414

Zebrafish AC modelling: (Q)SAR models to predict developmental toxicity in zebrafish embryo

In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 202, S. 110936

ISSN: 1090-2414

How Chemoinformatic Modeling Can Be Used to Explore Aquatic Toxicity of Fullerene Derivatives Using Human Proteins

In: STOTEN-D-22-25868

Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0

In: EFSA supporting publications, Band 21, Heft 1

ISSN: 2397-8325