(Q51938549)

18 April 2018

title

Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study. (English)

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author

Pierluigi Barbieri

3

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Paola Gramatica

10

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Christoph Helma

11

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Daniel Neagu

13

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Grace Patlewicz

16

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Andrew Worth

19

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Ivanka Tsakovska

object named as

Tsakovska I

18

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Emilio Benfenati

4

object named as

Benfenati E

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Vracko M

1

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Bandelj V

2

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Chaudhry Q

5

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Cronin M

6

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Devillers J

7

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Gallegos A

8

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Gini G

9

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Mazzatorta P

12

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Netzeva T

14

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Pavan M

15

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Randić M

17

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publication date

1 June 2006

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SAR and QSAR in Environmental Research

published in

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volume

17

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issue

3

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page(s)

265-284

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Counterpropagation networks.

cites work

1 reference

https://api.crossref.org/works/10.1080%2F10659360600787650

Quantitative Structure-Activity Relationships in Carboquinones and Benzodiazepines Using Counter-Propagation Neural Networks

21 January 2018

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Use of structure descriptors to discriminate between modes of toxic action of phenols

21 January 2018

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Modeling toxicity by using supervised kohonen neural networks.

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360600787650

Application of a self-organizing map to quantitative structure-activity relationship analysis of carboquinone and benzodiazepine

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360600787650

Counter-propagation artificial neural network as a tool for the independent variable selection: structure-mutagenicity study on aromatic amines.

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360600787650

QSAR modeling with the electrotopological state indices: predicting the toxicity of organic chemicals

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360600787650

Using probabilistic neural networks to model the toxicity of chemicals to the fathead minnow (Pimephales promelas): a study based on 865 compounds

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360600787650

Prediction of the acute toxicity (96-h LC50) of organic compounds to the fathead minnow (Pimephales promelas) using a group contribution method

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360600787650

A general QSAR model for predicting the acute toxicity of pesticides to Oncorhynchus mykiss.

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360600787650

A general QSAR model for predicting the acute toxicity of pesticides to Lepomis macrochirus.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360600787650

Statistically validated QSARs, based on theoretical descriptors, for modeling aquatic toxicity of organic chemicals in Pimephales promelas (fathead minnow).

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360600787650

Classification of organic solvents and modelling of their physico-chemical properties by chemometric methods using different sets of molecular descriptors

21 January 2018

1 reference

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10.1080/10659360600787650

21 January 2018

Identifiers

DOI

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18 April 2018

PubMed ID

16815767

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18 April 2018