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通过计算机辅助评估差异细胞毒性数据鉴定作用于微管蛋白水平的新型抗有丝分裂剂。

Identification of novel antimitotic agents acting at the tubulin level by computer-assisted evaluation of differential cytotoxicity data.

作者信息

Paull K D, Lin C M, Malspeis L, Hamel E

机构信息

Information Technology Branch, National Cancer Institute, NIH, Bethesda, Maryland 20892.

出版信息

Cancer Res. 1992 Jul 15;52(14):3892-900.

PMID:1617665
Abstract

Data generated in the new National Cancer Institute drug evaluation program, which are based on inhibition of cell growth in 60 human tumor cell lines, were probed with nine known antimitotic agents using the COMPARE algorithm. Cytotoxicity data were available on approximately 7000 compounds at the time of the analysis, and, based on the criteria used, 82 compounds were selected as positive by the computer search. Nine were the probe compounds themselves, and 41 were analogues of known antimitotic agents. Among the remaining 32 compounds there were 19 distinct chemical species. Agents in ten of these groups (containing 20 compounds) were effective inhibitors of in vitro tubulin polymerization and caused the mitotic arrest of cells grown in culture. Two compounds were related natural products binding in the Vinca domain of tubulin, and the others were synthetic agents which interfered with colchicine binding. The remaining 12 agents (one natural product, the remainder synthetic) fell into several groups: two compounds were weak inhibitors of tubulin polymerization, inhibited colchicine binding, and caused mitotic arrest; one compound weakly inhibited tubulin polymerization but did not cause an increase in the number of cells arrested in mitosis; two compounds caused mitotic arrest at micromolar concentrations, but thus far no in vitro interaction with tubulin has been observed; the remainder neither inhibited tubulin polymerization nor caused a rise in the number of cultured cells arrested in mitosis. Tubulin-dependent GTP hydrolysis was stimulated or inhibited by all agents which inhibited tubulin polymerization with the exception of one compound. The analysis of differential cytotoxicity data thus appears to have great promise for the identification of new antimitotic agents with antineoplastic potential.

摘要

新的美国国立癌症研究所药物评估项目所产生的数据基于对60种人类肿瘤细胞系中细胞生长的抑制作用,使用COMPARE算法用9种已知的抗有丝分裂剂进行了探测。在分析时可获得约7000种化合物的细胞毒性数据,根据所使用的标准,计算机搜索选出82种化合物为阳性。其中9种是探测化合物本身,41种是已知抗有丝分裂剂的类似物。在其余32种化合物中有19种不同的化学物质。这些组中的10组(包含20种化合物)中的药物是体外微管蛋白聚合的有效抑制剂,并导致培养的细胞有丝分裂停滞。两种化合物是在微管蛋白的长春花结构域结合的相关天然产物,其他是干扰秋水仙碱结合的合成药物。其余12种药物(一种天然产物,其余为合成药物)分为几组:两种化合物是微管蛋白聚合的弱抑制剂,抑制秋水仙碱结合并导致有丝分裂停滞;一种化合物微弱抑制微管蛋白聚合,但未导致有丝分裂停滞的细胞数量增加;两种化合物在微摩尔浓度下导致有丝分裂停滞,但迄今为止未观察到与微管蛋白的体外相互作用;其余药物既不抑制微管蛋白聚合,也不导致培养的有丝分裂停滞细胞数量增加。除一种化合物外,所有抑制微管蛋白聚合的药物均刺激或抑制了微管蛋白依赖性GTP水解。因此,差异细胞毒性数据分析对于鉴定具有抗肿瘤潜力的新型抗有丝分裂剂似乎很有前景。

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