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19篇 您的检索式:作者名="PANAYE"
    题名 作者 年代 出处 被引量
1Spontaneous premature ovarian failure: Management challenges显示文摘Emmanuel Kalu Nick Panay 2008Gynecological Endocrinology2008,,5:2
2基于分子对接的苯丙素甙(PPGs)类化合物的虚拟筛选和合理设计显示文摘采用虚拟化合物生成法对抗肿瘤的苯丙素甙 (PPGs)类化合物进行了配体受体对接研究 .以三种不同的骨架结构为基础分别生成了五十个虚拟苯丙素甙 (PPGs)类化合物 ,并将它们与端粒DNA受体进行分子对接 ,分析已知结构的对接结果 ,通过虚拟筛选的方法得到了一批与受体相互作用能较高并且复合物能量较低的新的有潜力的活性化合物 .该方法可以弥补分子对接研究中 ,只能计算药物与受体的相互作用 ,无法有效设计新化合物的不足 .陈海峰 高坤 范波涛 袁身刚 贾忠建 郑荣梁 PANAYE A DOUCET J.P 2002化学学报2002,60,10:2
3IMS Updated Recommendations on postmenopausal hormone therapy显示文摘Issued on behalf of the Board of the International Menopause Society by Amos Pines David W. Sturdee Martin H. Birkh?user Hermann P. G. Schneider Marco Gambacciani Nick Panay 2007Climacteric2007,,3:2
4Topological approach of ^13CNMR spectral simulation: application to Fuzzy substructures 显示文摘Panaye A Doucet J P Fan B T 1993J Chem Inf Comput Sci1993,33,:1
5TLR9 transcription- al regulation in response to double-stranded DNA viruses显示文摘Zannetti C Parroche P Panaye M 2014J Immunol2014,193,7:1
6Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression显示文摘YAO Xiaojun PANAYE A DOUCET J P 2004J Chem Inf Comput Sci2004,44,4:1
7Spontaneous premature ovarian failure:management challenges显示文摘Kalu E Panay N 0,,5:1
8Comparative classification study of toxicity mechanisms using support vector machines and radial basis function neural networks 显示文摘YAO X J PANAYE A DOUCET J P 2005Analytica Chimica Acta2005,535,12:1
9Comparative study of QSAR/ QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression显示文摘Yao X Panaye A Doucet J P 2004Journal of Chemical Information and Computer Sciences2004,44,:1
10Multi-stage real options:the case of information technology infrastructure and international bank expansion 显示文摘Panay Trigeorgis 1998The Quarterly Review of Economics and Finance1998,38,:1
11Comparative study of QSAR/QSPR correlations using support vector machines,radial basis function neural networks,and multiple linear regression显示文摘Yao X J Panaye A Doucet J E Zhang R S Chen H F Liu M C Hu Z D Fan B T 0,,:1
12Compara-tive study of QSPR/QSAR correlations using support vector maehines,radial basis function neural net-works,and multiple linear regression显示文摘YAO X J PANAYE A DOUCET J P 0,,04:1
13Correlation between Molecular Structures and Relative Electrophoretic Mobility in Capillary Electrophoresis:Alkylpyridines显示文摘The quantitative relationship between relative electrophoretic mobility in capillary electrophoresis for a series of 31 closely related alkylpyridines and their molecular structures was studied by using CODESSA. According to the t test on the results, we found that the three most important descriptors affecting the mobility are the relative number of rings ( NR ), Min e n attraction for a C—N bond ( MEN ) and average complementary information index (ACIC) . With these structure descriptors a good three parameter linear model was developed to correlate the mobility of these compounds with their structures. This model can not only correctly predict the migration behavior of these compounds, but also find the structural factors which are responsible for the migration behavior of these compounds, thus can help to explain the separation mechanism of these compounds. The method used in this work can also be extended to the mobility structure relationship research of other compounds.姚小军 范波涛 DOUCET J.P. PANAYE A. 刘满仓 张瑞生 胡之德 2003Chinese Journal of Chemistry2003,21,10:1
14Contribution to Structural Elucidation: Behaviours of Substructures Partially Defined from 2D NMR显示文摘Structural elucidation (automatic determination of the structure of a molecule from its spectra) is frequently hampered by combinatorial explosion when trying to assemble the identified substructures. We devised a new method which can avoid this pitfall by a systematic examination of allowed 13 C chemical shifts ranges for all substructures chemically possible and combined with a progressive pruning thanks to neighbouring relationships appearing from 2D NMR. This method is explained by a detailed example.EPOUHE Celine 范波涛 袁身刚 PANAYE A. DOUCET J.P. 2003Chinese Journal of Chemistry2003,21,10:1
15Updated practical recommendations for hormone replacement therapy in the peri-and postmenopause显示文摘Birkhauser MH Panay N Archer DF 0,,02:1
16Premature ovarian failure显示文摘MACLARAN K PANAY N 0,,01:1
17Topological Approach of 13C NMR Spectral Simulation:Application to Fuzzy Substructures显示文摘Panaye A Doucet J P Fan B T 1993J Chem Inf Comput Sci1993,33,:1
183D-QSAR Study on Apicidin Inhibit Histone Deacetylase显示文摘For Histone Deacetylase (HDAC) Inhibitor, four 3D-QSAR models for four types of different activities,were constructed. The cross-validated q 2 value of CoMFA Model 1 is 0.624 and the noncross-validated r 2 value is 0.939. The cross-validated q 2 value of Model 2 for training set is 0.652 and the noncross-validated r 2 value is 0.963. The cross-validated q 2 value for Model 3 is 0.713,with noncross-validated r 2 value 0.947. The cross-validated q 2 value for Model 4 is 0.566 with noncross-validated r 2 value 0.959. Their predicted abilities were validated by different test sets which did not include in training set. Then the relationship between substituents and activities was analyzed by using these models and the main influence elements in different positions (positions 8 and 14) were found. The polar donor electron group of position 8 could increase the activity of inhibition of HDAC,because it could form chelation with the catalytic Zn. Suitable bulk and positive groups at position 14 are favorable to anti-HDAC activity. These models could well interpret the relationship between inhibition activity and apicidin structure affording us important information for structure-based drug design.陈海峰 康九红 李强 曾宝珊 姚小军 范波涛 袁身刚 Panay A. Doucet J.P. 2003Chinese Journal of Chemistry2003,21,12:0
19Virtual Screening and Structure Generation Applied to Drug Design显示文摘FAN B.T. A. PANAYE J-P. DOUCET 2004合成化学2004,12,z1:0
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