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CASE(计算机自动化结构评估方法)能正确预测硝化环戊稠合多环芳烃对沙门氏菌的低致突变性。

CASE, the computer-automated structure evaluation method, correctly predicts the low mutagenicity for Salmonella of nitrated cyclopenta-fused polycyclic aromatic hydrocarbons.

作者信息

Rosenkranz H S, Klopman G

机构信息

Department of Environmental Health Sciences, Case Western Reserve University, Cleveland, OH 44106.

出版信息

Mutat Res. 1988 May;199(1):95-101. doi: 10.1016/0027-5107(88)90234-5.

Abstract

Recently Goldring et al. [Mutation Res., 187 (1987) 67-77] reported the synthesis and purification of a series of nitro-substituted cyclopenta-fused polycyclic aromatic hydrocarbons. On the basis of expected charge distributions, these chemicals were predicted to be potent mutagens and, yet, contrary to expectation, they were found to be only weakly mutagenic for Salmonella. In their discussion, the authors suggest that application of CASE, an artificial intelligence system recently developed in these laboratories, would also not predict the low mutagenicity of this group of chemicals. In the present report, it is shown that CASE, in fact, correctly predicts the low mutagenicity of nitro-substituted cyclopenta-fused polycyclic aromatic hydrocarbons.

摘要

最近,戈德林等人[《突变研究》,187(1987)67 - 77]报道了一系列硝基取代的环戊稠合多环芳烃的合成与纯化。基于预期的电荷分布,预计这些化学物质具有很强的致突变性,然而,与预期相反,发现它们对沙门氏菌的致突变性很弱。在讨论中,作者表明,应用最近在这些实验室开发的人工智能系统CASE,也无法预测这类化学物质的低致突变性。在本报告中,结果表明,CASE实际上正确地预测了硝基取代的环戊稠合多环芳烃的低致突变性。

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