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QSAR models for predicting the activity of non-peptide luteinizing hormone-releasing hormone (LHRH) antagonists derived from erythromycin A using quantum chemical properties

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第一作者： Fernandez M

作者： Fernandez M ^[1] ; Caballero J

作者单位： Univ Matanzas, Mol Modeling Grp, Ctr Biotechnol Studies, Matanzas 44740, Cuba ^[1]

关键词 QSAR analysis Bayesian-regularized Genetic Neural Network quantum chemical descriptors macrolide LHRH antagonists QUANTITATIVE STRUCTURE-ACTIVITY REGULARIZED NEURAL-NETWORKS GNRH RECEPTOR ANTAGONISTS DESCRIPTORS INHIBITION REGRESSION Q(2)

发布时间 2013-11-20

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Journal of molecular modeling

2007年13卷4期

465-476页

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Journal of molecular modeling

2007年13卷4期

465-476页

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QSAR models for predicting the activity of non-peptide luteinizing hormone-releasing hormone (LHRH) antagonists derived from erythromycin A using quantum chemical properties

Journal of molecular modeling

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Journal of molecular modeling

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QSAR models for predicting the activity of non-peptide luteinizing hormone-releasing hormone (LHRH) antagonists derived from erythromycin A using quantum chemical properties

Journal of molecular modeling

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同项目论文

Journal of molecular modeling

相关期刊

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