中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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