QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS FOR TOXICITY OF PHENOLS USING REGRESSION-ANALYSIS AND COMPUTATIONAL NEURAL NETWORKS
文献类型:期刊论文
作者 | XU L ; BALL JW ; DIXON SL ; JURS PC |
刊名 | environmental toxicology and chemistry
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出版日期 | 1994 |
卷号 | 13期号:5页码:841-851 |
关键词 | SECONDARY STRUCTURE PREDICTION PHARMACEUTICAL PROBLEMS CHEMICAL-SHIFTS CHEMISTRY |
ISSN号 | 0730-7268 |
中文摘要 | quantitative structure-toxicity models were developed that directly link the molecular structures of a et of 50 alkylated and/or halogenated phenols with their polar narcosis toxicity, expressed as the negative logarithm of the igc50 (50% growth inhibitor |
收录类别 | SCI收录期刊论文 |
语种 | 英语 |
公开日期 | 2010-12-30 ; 2011-06-10 |
源URL | [http://ir.ciac.jl.cn/handle/322003/27739] ![]() |
专题 | 长春应用化学研究所_长春应用化学研究所知识产出_期刊论文 |
推荐引用方式 GB/T 7714 | XU L,BALL JW,DIXON SL,et al. QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS FOR TOXICITY OF PHENOLS USING REGRESSION-ANALYSIS AND COMPUTATIONAL NEURAL NETWORKS[J]. environmental toxicology and chemistry,1994,13(5):841-851. |
APA | XU L,BALL JW,DIXON SL,&JURS PC.(1994).QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS FOR TOXICITY OF PHENOLS USING REGRESSION-ANALYSIS AND COMPUTATIONAL NEURAL NETWORKS.environmental toxicology and chemistry,13(5),841-851. |
MLA | XU L,et al."QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS FOR TOXICITY OF PHENOLS USING REGRESSION-ANALYSIS AND COMPUTATIONAL NEURAL NETWORKS".environmental toxicology and chemistry 13.5(1994):841-851. |
入库方式: OAI收割
来源:长春应用化学研究所
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