Waters M D, Stack H F, Rabinowitz J R, Garrett N E
Genetic Toxicology Division, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Mutat Res. 1988 May-Aug;205(1-4):119-38. doi: 10.1016/0165-1218(88)90015-8.
Computer-generated genetic activity profiles and pairwise matching procedures may aid in the selection of the most appropriate short-term bioassays to be used in test batteries for the evaluation of the genotoxicity of a given chemical or group of chemicals. Selection of test batteries would be based on a quantitative comparative assessment of the past performance of similar tests applied to other chemicals of the same structural group. The information potentially available for test-battery selection through the use of this pattern-recognition technique is considerably greater than the qualitative results obtained from individual short-term tests. Application of the method should further our understanding of the relationships between chemical properties and genotoxic responses obtained in short-term bioassays and also may contribute to our knowledge of the mechanisms of complex processes such as carcinogenesis. This approach to battery selection should be augmented by careful consideration of established principles of genetic toxicity testing; that is, a chemical should be evaluated in a battery of tests representing the full range of relevant genetic endpoints.
计算机生成的遗传活性图谱和成对匹配程序，可能有助于选择最合适的短期生物测定方法，用于测试组合中评估特定化学物质或一组化学物质的遗传毒性。测试组合的选择将基于对应用于同一结构组其他化学物质的类似测试过去表现的定量比较评估。通过使用这种模式识别技术，潜在可用于测试组合选择的信息，远多于从单个短期测试获得的定性结果。该方法的应用应能增进我们对化学性质与短期生物测定中获得的遗传毒性反应之间关系的理解，也可能有助于我们了解诸如致癌作用等复杂过程的机制。这种测试组合选择方法，应通过仔细考虑遗传毒性测试的既定原则加以补充；也就是说，一种化学物质应在代表所有相关遗传终点的一系列测试中进行评估。
