کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1396277 1501183 2010 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classification of drugs according to their milk/plasma concentration ratio
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آلی
پیش نمایش صفحه اول مقاله
Classification of drugs according to their milk/plasma concentration ratio
چکیده انگلیسی

The classification of drugs was done according to their milk/plasma concentration ratio (M/P) by using counter propagation artificial neural network (CP-ANN). The features of each drug were encoded by linear free energy relationship (LFER) parameters. These descriptors were used as inputs for developing linear discriminant analysis, quadratic discriminant analysis, least square support vector machine and CP-ANN models to distinguish the potential risk of 154 drugs as high risk (with M/P > 1) and low risk (with M/P < 1) for lactating women. The accuracy of classification for training, internal and external test sets was 100.00%, 100.00% and 90.00%, respectively for CP-ANN model, as the best model. The obtained results revealed the applicability of CP-ANN in classification of drugs based on their M/P values, using LFER parameters.

The classification of drugs according to their milk/plasma concentration ratio by using counter propagation artificial neural network and LFER parameters.Figure optionsDownload as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Medicinal Chemistry - Volume 45, Issue 11, November 2010, Pages 5051–5055
نویسندگان
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