(Q43721165)

26 November 2017

title

Lazy structure-activity relationships (lazar) for the prediction of rodent carcinogenicity and Salmonella mutagenicity (English)

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26 November 2017

1

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26 November 2017

publication date

24 May 2006

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26 November 2017

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26 November 2017

volume

10

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26 November 2017

issue

2

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26 November 2017

page(s)

147-158

1 reference

https://scigraph.springernature.com/pub.10.1007/s11030-005-9001-5

26 November 2017

exact match

0 references

cites work

Chemical Similarity Searching

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS11030-005-9001-5

Predicting chemical carcinogenesis in rodents: the state of the art in light of a comparative exercise.

21 January 2018

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Crossref

https://api.crossref.org/works/10.1007%2FS11030-005-9001-5

The second National Toxicology Program comparative exercise on the prediction of rodent carcinogenicity: definitive results.

21 January 2018

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS11030-005-9001-5

Structure-activity relationship studies of chemical mutagens and carcinogens: mechanistic investigations and prediction approaches

21 January 2018

1 reference

12 December 2020

Derivation and validation of toxicophores for mutagenicity prediction

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12 December 2020

"In silico" design of potential anti-HIV actives using fragment descriptors.

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12 December 2020

Data quality in predictive toxicology: reproducibility of rodent carcinogenicity experiments

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12 December 2020

Enhancement of the chemical semantic web through the use of InChI identifiers

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12 December 2020

The Problem of Overfitting

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12 December 2020

QSAR prediction of rodent carcinogenicity for a set of chemicals currently bioassayed by the US National Toxicology Program

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12 December 2020

Data mining and knowledge discovery in predictive toxicology

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12 December 2020

Putting the Predictive Toxicology Challenge into perspective: reflections on the results.

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12 December 2020

Statistical evaluation of the Predictive Toxicology Challenge 2000-2001.

1 reference

12 December 2020

Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds

1 reference

12 December 2020

10.1007/S11030-005-9001-5

Identifiers

DOI

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26 November 2017

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