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应用人工神经网络研究2-羟基-〔1H〕-异吲哚二酮衍生物构效关系 被引量:2

Studies on Structure Activity Relationship of 2-Hydroxy-1-H- isoindolediones by Artificial Neural Network
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摘要 以人工神经网络误差反传算法对2羟基〔1H〕异吲哚二酮衍生物构效关系进行了探讨,获得了精密的拟合和准确的预测,拟合结果优于多元线性回归.该方法可作为一种有效的定量构效关系研究工具. In this paper,the structure activity relationship of 2 hydroxy 1 H isoindolediones was calculated by the backpropagation model.The result showed it possessed high calculated accuracy and predicted ability,the performance of the artificial Neural Netword was better than that of MLR.Therefore the model might be used as an effective assistant technique for the probe of SAR of drugs.
出处 《沈阳药科大学学报》 CAS CSCD 1998年第4期257-259,共3页 Journal of Shenyang Pharmaceutical University
关键词 人工神经网络 构效关系 异吲哚二酮 抗癌药 artificial neural network structure activity relationship 2 hydroxy 1 H isoindolediones
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  • 1Carcy I. Chan. Eric J Lien, Zoltan A Todes. Synthesis, biological evaluation and quantitative structureactivity relationship analysis of 2-hydroxy-1-H-kisoindolediones as new eytostatic agents. J Meal Chem, 1987, 30:509-514. 被引量:1
  • 2Qian N, Sejnowshi Tj. Prediction the secondary structure of globular proteins using neural network medels.J Mol Bid, 1988,202(4):865-884. 被引量:1
  • 3Holley I.H, Karplus M. Protein secondary structure prrediction with a neural network. Proc Natl Acad Sol USA, 1989,86(1):152-156. 被引量:1
  • 4Aoyama T, Suzuki Y Ichikawa H. Neural networks applied to structure-activity relationship analysis. J Med Chem, 1990, 33(3):905-908. 被引量:1
  • 5Aoyama T, Suzuke Y, Ichikawa H. Neur M networks applied to quantitative structure-activity relationships. J Med Chem, 1990,33(9):2583-2590. 被引量:1
  • 6Aoyama T, Suzuki Y, Ichikawa H. Neural networks applied to pharmaceutical problem. 1. Method and application to decision making. Chem Pharm Bull, 1989, 37(9):2558-2560. 被引量:1
  • 7Aoyama T, Ichikawa H. Basic operation characteristics of neural networks when applied to structure-activity studies. Chem Pharm Bull, 1991, 39(2):358-266. 被引量:1
  • 8Aoyama T, Ichikawa H. Obtaining the correlation indies between drug activity and structural parameters using a neural network. Chem Pharm Bull, 1991,39(2):371-378. 被引量:1
  • 9谢前,孙红梅,周家驹.人工神经网络方法研究含硫芳香衍生物毒性与结构的关系[J].计算机与应用化学,1996,13(1):20-24. 被引量:11
  • 10陆文聪,方建慧,丁益民,阎立诚,陈念贻.3-甲基芬太尼衍生物构效关系的自组织人工神经网络研究[J].中国药物化学杂志,1996,6(1):31-37. 被引量:5

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