In silico approaches to explore toxicity end points: issues and concerns for estimating human health effects.
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Challenges for computational structure-activity modelling for predicting chemical toxicity: future improvements?(Q)SAR modeling and safety assessment in regulatory review.Role of in silico genotoxicity tools in the regulatory assessment of pharmaceutical impurities.Assessment of hydroxylated metabolites of polychlorinated biphenyls as potential xenoestrogens: a QSAR comparative analysis∗.Predictivity and reliability of QSAR models: the case of mutagens and carcinogens.Combined Use of MC4PC, MDL-QSAR, BioEpisteme, Leadscope PDM, and Derek for Windows Software to Achieve High-Performance, High-Confidence, Mode of Action-Based Predictions of Chemical Carcinogenesis in Rodents.
P2860
In silico approaches to explore toxicity end points: issues and concerns for estimating human health effects.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
In silico approaches to explor ...... timating human health effects.
@ast
In silico approaches to explor ...... timating human health effects.
@en
type
label
In silico approaches to explor ...... timating human health effects.
@ast
In silico approaches to explor ...... timating human health effects.
@en
prefLabel
In silico approaches to explor ...... timating human health effects.
@ast
In silico approaches to explor ...... timating human health effects.
@en
P2860
P356
P1476
In silico approaches to explor ...... timating human health effects.
@en
P2093
Edwin J Matthews
Joseph F Contrera
P2860
P304
P356
10.1517/17425255.3.1.125
P407
P577
2007-02-01T00:00:00Z