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首页> 外文期刊>Acta Pharmacologica Sinica >Optimization of antisense drug design against conservative local motif in simulant secondary structures of HER-2 mRNA and QSAR analysis
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Optimization of antisense drug design against conservative local motif in simulant secondary structures of HER-2 mRNA and QSAR analysis

机译:针对HER-2 mRNA模拟二级结构中保守局部基序的反义药物设计的优化和QSAR分析

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AIM: To study the role of mRNA secondary structure stability in antisense drug design and obtain better antisense candidates against neu/HER-2/erbB-2 mRNA than previous report. METHODS: Program RNAstructure was utilized to simulate the secondary structures of HER-2 mRNA. Then 21 antisense phosphorothioate oligodeoxynucleotides (S-ODN) targeting different parts of secondary structural motif were designed. HA4 was set as positive control. Mean 50 % inhibitory effects (IC_(50)) of S-ODN on proliferations of SK-BR-3 breast cancer cells were evaluated. The expression of target mRNA was detected by RT-PCR. The multiple regression and quantitative structure-activity relationship (QSAR) analysis was preformed by SPSS software. RESULTS: One optimal and two suboptimal secondary structures of target mRNA were obtained. Nine out of 11 S-ODN against completely conservative local motif (LM) (conservative among all simulant secondary structures) got lower or similar IC_(50) values compared with HA4. On the other hand, 2 out of 3 S-ODN against relatively conservative LM (conservative between any two simulant secondary structures) got lower or similar IC_(50) values compared with HA4. Only 2 out of 5 S-ODN targeting variable LM (variable among different predicted secondary structures) had acceptable activities. Average IC_(50) of S-ODN against completely conservative LM was significantly lower than that of S-ODN against diverse LM. QSAR analysis suggested that stability, base number of bulge loops, and target free energies ΔG_T~° were statistically significant. In the multiple regression, R was 0.967, P=0.005. CONCLUSION: Antisense drug design against conservative LM was helpful for improving the positive rate. Several S-ODN candidates better than positive control were screened.
机译:目的:研究mRNA二级结构稳定性在反义药物设计中的作用,并获得比先前报道更好的针对neu / HER-2 / erbB-2 mRNA的反义候选物。方法:利用程序RNA结构模拟HER-2 mRNA的二级结构。然后设计了针对二级结构基序不同部分的21个反义硫代磷酸酯寡聚脱氧核苷酸(S-ODN)。将HA4设置为阳性对照。评估了S-ODN对SK-BR-3乳腺癌细胞增殖的平均50%抑制作用(IC_(50))。通过RT-PCR检测靶mRNA的表达。用SPSS软件进行多元回归和定量构效关系(QSAR)分析。结果:获得了目标mRNA的一种最佳和两种次优二级结构。与HA4相比,针对完全保守的局部基序(LM)(在所有模拟二级结构中都是保守的)的11个S-ODN中有9个的IC_(50)值较低或相似。另一方面,与HA4相比,相对保守的LM(任意两个模拟二级结构之间的保守性)的3 S-ODN中有2个具有较低或相似的IC_(50)值。 5个S-ODN靶向变量LM(在不同的预测二级结构之间可变)中只有2个具有可接受的活性。 S-ODN对完全保守的LM的平均IC_(50)显着低于S-ODN对各种LM的平均IC_(50)。 QSAR分析表明,稳定性,凸起环的基数和目标自由能ΔG_T〜°具有统计学意义。在多元回归中,R为0.967,P = 0.005。结论:针对保守性LM的反义药物设计有助于提高阳性率。筛选了几种优于阳性对照的S-ODN候选物。

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