Prediction of Biopharmaceutical Drug Disposition Classification System (BDDCS) by Structural Parameters

Prediction of Biopharmaceutical Drug Disposition Classification System (BDDCS) by Structural Parameters


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دانشگاه علوم پزشکی تبریز
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نویسندگان: یگانه گلفر , علی شایان فر

کلمات کلیدی: Abraham solvation parameters, BDDCS, logP, Metabolism, Prediction, Solubility

نشریه: 18341 , 2 , 22 , 2019

اطلاعات کلی مقاله
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نویسنده ثبت کننده مقاله علی شایان فر
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه دانشکده داروسازی
کد مقاله 67628
عنوان فارسی مقاله Prediction of Biopharmaceutical Drug Disposition Classification System (BDDCS) by Structural Parameters
عنوان لاتین مقاله Prediction of Biopharmaceutical Drug Disposition Classification System (BDDCS) by Structural Parameters
ناشر 2
آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ خیر
عنوان نشریه (خارج از لیست فوق)
نوع مقاله Original Article
نحوه ایندکس شدن مقاله ایندکس شده سطح یک – ISI - Web of Science
آدرس لینک مقاله/ همایش در شبکه اینترنت

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Modeling of physicochemical and pharmacokinetic properties is important for the prediction and mechanism characterization in drug discovery and development. Biopharmaceutics Drug Disposition Classification System (BDDCS) is a four-class system based on solubility and metabolism. This system is employed to delineate the role of transporters in pharmacokinetics and their interaction with metabolizing enzymes. It further anticipates drug disposition and potential drug-drug interactions in the liver and intestine. According to BDDCS, drugs are classified into four groups in terms of the extent of metabolism and solubility (high and low). In this study, structural parameters of drugs were used to develop classification-based models for the prediction of BDDCS class. Reported BDDCS data of drugs were collected from the literature, and structural descriptors (Abraham solvation parameters and octanol–water partition coefficient (log P)) were calculated by ACD/Labs software. Data were divided into training and test sets. Classification-based models were then used to predict the class of each drug in BDDCS system using structural parameters and the validity of the established models was evaluated by an external test set. The results of this study showed that log P and Abraham solvation parameters are able to predict the class of solubility and metabolism in BDDCS system with good accuracy. Based on the developed methods for prediction solubility and metabolism class, BDDCS could be predicted in the correct with an acceptable accuracy. Structural properties of drugs, i.e. logP and Abraham solvation parameters (polarizability, hydrogen bonding acidity and basicity), are capable of estimating the class of solubility and metabolism with an acceptable accuracy.

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نویسنده نفر چندم مقاله
یگانه گلفراول
علی شایان فردوم

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JPPS2019.pdf1398/04/091155561دانلود