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.
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On the use of in silico tools for prioritising toxicity testing of the low-volume industrial chemicals in REACHAn ensemble model of QSAR tools for regulatory risk assessmentAlternative (non-animal) methods for cosmetics testing: current status and future prospects-2010.Genetic toxicology in the 21st century: reflections and future directions.Comparative evaluation of 11 in silico models for the prediction of small molecule mutagenicity: role of steric hindrance and electron-withdrawing groups.A structural feature-based computational approach for toxicology predictions.Regulatory use of computational toxicology tools and databases at the United States Food and Drug Administration's Office of Food Additive Safety.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.Identification, control strategies, and analytical approaches for the determination of potential genotoxic impurities in pharmaceuticals: a comprehensive review.Predicting in vivo safety characteristics using physiochemical properties and in vitro assays.Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds.QSAR models for P450 (2D6) substrate activity.Computational science in drug metabolism and toxicology.Comparison of criteria used to access carcinogenicity in CPANN QSAR models versus the knowledge-based expert system Toxtree.Computational toxicology: an overview of the sources of data and of modelling methods
P2860
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P2860
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.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
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2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
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name
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@en
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@nl
type
label
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@en
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@nl
prefLabel
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@en
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@nl
P2093
P2860
P1476
Combined Use of MC4PC, MDL-QSA ...... cal Carcinogenesis in Rodents.
@en
P2093
Carol A Marchant
Chihae Yang
Edwin J Matthews
Joseph F Contrera
Naomi L Kruhlak
R Daniel Benz
P2860
P304
P356
10.1080/15376510701857379
P577
2008-01-01T00:00:00Z