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| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C1510438 | lld:lifeskim |
| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C0887819 | lld:lifeskim |
| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C1524063 | lld:lifeskim |
| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C0439858 | lld:lifeskim |
| pubmed-article:18414635 | lifeskim:mentions | umls-concept:C0443131 | lld:lifeskim |
| pubmed-article:18414635 | pubmed:issue | 4 | lld:pubmed |
| pubmed-article:18414635 | pubmed:dateCreated | 2008-4-16 | lld:pubmed |
| pubmed-article:18414635 | pubmed:abstractText | To develop efficient approaches for rapid evaluation of chemical toxicity and human health risk of environmental compounds, the National Toxicology Program (NTP) in collaboration with the National Center for Chemical Genomics has initiated a project on high-throughput screening (HTS) of environmental chemicals. The first HTS results for a set of 1,408 compounds tested for their effects on cell viability in six different cell lines have recently become available via PubChem. | lld:pubmed |
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| pubmed-article:18414635 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18414635 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18414635 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:18414635 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18414635 | pubmed:month | Apr | lld:pubmed |
| pubmed-article:18414635 | pubmed:issn | 0091-6765 | lld:pubmed |
| pubmed-article:18414635 | pubmed:author | pubmed-author:ZhuHaoH | lld:pubmed |
| pubmed-article:18414635 | pubmed:author | pubmed-author:RusynIvanI | lld:pubmed |
| pubmed-article:18414635 | pubmed:author | pubmed-author:TropshaAlexan... | lld:pubmed |
| pubmed-article:18414635 | pubmed:author | pubmed-author:RichardAnnA | lld:pubmed |
| pubmed-article:18414635 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:18414635 | pubmed:volume | 116 | lld:pubmed |
| pubmed-article:18414635 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18414635 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18414635 | pubmed:pagination | 506-13 | lld:pubmed |
| pubmed-article:18414635 | pubmed:dateRevised | 2010-9-22 | lld:pubmed |
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| pubmed-article:18414635 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:18414635 | pubmed:articleTitle | Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicity. | lld:pubmed |
| pubmed-article:18414635 | pubmed:affiliation | Carolina Environmental Bioinformatics Research Center, University of North Carolina, Chapel Hill, NC 27599-7360, USA. | lld:pubmed |
| pubmed-article:18414635 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18414635 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:18414635 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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