Klopman G, Frierson M R, Rosenkranz H S
Department of Chemistry, Case Western Reserve University, Cleveland, OH 44106.
Mutat Res. 1990 Jan;228(1):1-50. doi: 10.1016/0027-5107(90)90013-t.
The CASE structure-activity methodology has been applied to a Gene-Tox derived Salmonella mutagenicity data base consisting of 808 chemicals. Based upon qualitative structural features, CASE identified 29 activating and 3 inactivating structural determinants which correctly predicted the probability of carcinogenicity of 93.7% of the known mutagens and non-mutagens in the data base (sensitivity = 0.998, and specificity = 0.704). Additionally, based upon a qualitative structure-activity analysis, CASE's performance was even better, leading to a sensitivity of 0.981 and a specificity of 1.000. Using the structural determinants identified in this data base, CASE gave excellent predictions of the mutagenicity of chemicals not included in the data base. The identified biophores and biophobes can also be used to investigate the structural basis of the mutagenicity of various chemical classes.
CASE结构活性方法已应用于一个由808种化学物质组成的基因毒性衍生沙门氏菌致突变性数据库。基于定性结构特征,CASE识别出29个激活结构决定因素和3个失活结构决定因素,这些因素正确预测了数据库中93.7%已知诱变剂和非诱变剂的致癌可能性(敏感性=0.998,特异性=0.704)。此外,基于定性结构活性分析,CASE的表现甚至更好,敏感性达到0.981,特异性达到1.000。利用该数据库中识别出的结构决定因素,CASE对数据库中未包含的化学物质的致突变性给出了出色的预测。所识别出的亲生物基团和疏生物基团也可用于研究各类化学物质致突变性的结构基础。