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首页> 外文期刊>Network Daily News >New Cancer Findings Reported from Islamic Azad University (Theoretical Study of Octreotide Derivatives As Anti-cancer Drugs Using Qsar, Monte Carlo Method and Formation of Complexes)
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New Cancer Findings Reported from Islamic Azad University (Theoretical Study of Octreotide Derivatives As Anti-cancer Drugs Using Qsar, Monte Carlo Method and Formation of Complexes)

机译:伊斯兰阿扎德大学(Islamic Azad University)报道的新癌症发现(使用QSAR,蒙特卡洛法和复合物的形成,奥曲肽衍生物作为抗癌药物的理论研究)

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By a News Reporter-Staff News Editor at Network Daily News - New research on Cancer is the subject of a report. According to news reporting from Rasht, Iran, by NewsRx journalists, research stated, “QSAR investigations of a series of 25 Octreotide drugs were performed using multiple linear regression (MLR) and artificial neural network (ANN) as modelling tools and simulated annealing (SA) and genetic algorithm (GA) as optimization methods. The obtained results were compared with each other and with the results of MLR-MLR approach in terms of correlation coefficient (R-2) and root mean of square error (RMSE), from which the ANN-GA was found to be the best scheme.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 有关癌症的新研究是报告的主题。 伊朗新闻记者的新闻报道说,研究指出:“使用多个线性回归(MLR)和人工神经网络(ANN)作为建模工具和模拟退火,对一系列25种Octreotide药物进行了QSAR调查(SA )和遗传算法(GA)作为优化方法。 将所获得的结果彼此比较,并根据相关系数(R-2)和平方误差的根平均值(RMSE)的MLR-MLR方法的结果进行比较,从中发现ANN-GA是最佳方案。 。”

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