Quantitative structure-carcinogenicity relationship for detecting structural alerts in nitroso compounds: species, rat; sex, female; route of administration, gavage.
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Towards interoperable and reproducible QSAR analyses: Exchange of datasetsChemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents.A ligand-based approach for the in silico discovery of multi-target inhibitors for proteins associated with HIV infection.Topological structural alerts modulations of mammalian cell mutagenicity for halogenated derivatives.Quantitative structure-activity relationship modelling of the carcinogenic risk of nitroso compounds using regression analysis and the TOPS-MODE approach.
P2860
Quantitative structure-carcinogenicity relationship for detecting structural alerts in nitroso compounds: species, rat; sex, female; route of administration, gavage.
description
2008 nî lūn-bûn
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2008年の論文
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年學術文章
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name
Quantitative structure-carcino ...... ute of administration, gavage.
@en
Quantitative structure-carcino ...... ute of administration, gavage.
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type
label
Quantitative structure-carcino ...... ute of administration, gavage.
@en
Quantitative structure-carcino ...... ute of administration, gavage.
@nl
prefLabel
Quantitative structure-carcino ...... ute of administration, gavage.
@en
Quantitative structure-carcino ...... ute of administration, gavage.
@nl
P50
P356
P1476
Quantitative structure-carcino ...... oute of administration, gavage
@en
P2093
Maykel Pérez González
P304
P356
10.1021/TX700336N
P577
2008-02-23T00:00:00Z