In silico screening of chemicals for bacterial mutagenicity using electrotopological E-state indices and MDL QSAR software.
about
Toxicological and clinical computational analysis and the US FDA/CDER.Toxicity data informatics: supporting a new paradigm for toxicity prediction.Understanding genetic toxicity through data mining: the process of building knowledge by integrating multiple genetic toxicity databases.Fungal bis-Naphthopyrones as Inhibitors of Botulinum Neurotoxin Serotype A.Comparison of in silico models for prediction of mutagenicity.Genetic toxicology in the 21st century: reflections and future directions.In silico approaches to explore toxicity end points: issues and concerns for estimating human health effects.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.(Q)SAR modeling and safety assessment in regulatory review.Role of in silico genotoxicity tools in the regulatory assessment of pharmaceutical impurities.In Silico Screening of Chemicals for Genetic Toxicity Using MDL-QSAR, Nonparametric Discriminant Analysis, E-State, Connectivity, and Molecular Property Descriptors.Integrated in silico approaches for the prediction of Ames test mutagenicity.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
Q33271454-E6B7710D-6B6F-4A9B-849C-0894761FB07CQ33519655-93A868F3-B762-4078-804A-CAECB36D6D01Q33519661-C30391F6-3C40-41C7-8363-9F4037E9B794Q33630487-18C1A498-A6E4-42FA-83F4-C1F2BAC14847Q34638248-1E6A9860-B7CA-4D47-8778-0CD6CE17CBC9Q35177174-FB5A8D22-4E31-4C40-8158-C542EF694CF9Q36725230-A05C5F9D-E3BD-497C-89E1-1193D8803784Q37674610-ED39453A-1091-438D-881F-DFFAEFFEFBEEQ37758770-C4BC7989-0CC6-4B2B-83C1-6D962676835BQ37976993-1FBF953A-E34A-4154-B252-975A256C2FF4Q37988599-888D57CD-FF40-4786-AA7E-E2F39DD83A02Q50065378-18B2C9B1-1E78-4DFF-ADDF-708C3CEE72D3Q51330280-3E70A043-4E42-4519-A328-1D4D7B2DF0C9Q51721642-F11945E7-F800-4F8D-A217-57E2841FBD85
P2860
In silico screening of chemicals for bacterial mutagenicity using electrotopological E-state indices and MDL QSAR software.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
In silico screening of chemica ...... indices and MDL QSAR software.
@en
In silico screening of chemica ...... indices and MDL QSAR software.
@nl
type
label
In silico screening of chemica ...... indices and MDL QSAR software.
@en
In silico screening of chemica ...... indices and MDL QSAR software.
@nl
prefLabel
In silico screening of chemica ...... indices and MDL QSAR software.
@en
In silico screening of chemica ...... indices and MDL QSAR software.
@nl
P2093
P1476
In silico screening of chemica ...... indices and MDL QSAR software.
@en
P2093
Edwin J Matthews
Joseph F Contrera
Naomi L Kruhlak
R Daniel Benz
P304
P356
10.1016/J.YRTPH.2005.09.001
P407
P577
2005-10-19T00:00:00Z