QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS FOR TOXICITY OF PHENOLS USING REGRESSION-ANALYSIS AND COMPUTATIONAL NEURAL NETWORKS
| Data(s) |
1994
|
|---|---|
| Resumo |
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 |
| Identificador | |
| Idioma(s) |
英语 |
| Fonte |
XU L;BALL JW;DIXON SL;JURS PC.QUANTITATIVE STRUCTURE-ACTIVITY-RELATIONSHIPS FOR TOXICITY OF PHENOLS USING REGRESSION-ANALYSIS AND COMPUTATIONAL NEURAL NETWORKS,ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY,1994,13(5):841-851 |
| Palavras-Chave | #SECONDARY STRUCTURE PREDICTION #PHARMACEUTICAL PROBLEMS #CHEMICAL-SHIFTS #CHEMISTRY |
| Tipo |
期刊论文 |
