换一批Prediction of the affinity of the newly synthesised azapirone derivatives for 5-HT1A receptors based on artificial neural network analysis of chromatographic retention data and calculation chemistry parameters.
第一作者：
Antoni,Nasal
第一单位：
Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdansk, Gen. J. Hallera 107, PL-80-416 Gdansk, Poland. antonasa@amg.gda.pl
作者：
医学主题词
氮杂化合物(Aza Compounds);丁螺环酮(Buspirone);化学现象(Chemical Phenomena);化学, 物理(Chemistry, Physical);色谱法(Chromatography);色谱法, 高压液相(Chromatography, High Pressure Liquid);试验预期值(Predictive Value of Tests);量化构效关系(Quantitative Structure-Activity Relationship);受体, 血清素, 5-HT1A(Receptor, Serotonin, 5-HT1A);血清素类药(Serotonin Agents);血清素受体激动剂(Serotonin Receptor Agonists);螺环化合物(Spiro Compounds)
DOI
10.2174/1386207043328742
PMID
15200379
发布时间
2019-12-10
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