Prediction of drug’s Anatomical Therapeutic Chemical (ATC) code by integrating drug-domain network
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- 作者：Fan-Shu Chen ; Zhen-Ran Jiang ; zrjiang@cs.ecnu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Drug classification ; ATC code ; Drug&ndash ; domain interaction ; SVM ; Cross-validation
- 刊名：Journal of Biomedical Informatics
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：58
- 期：Complete
- 页码：80-88
- 全文大小：2109 K
文摘
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Predicting ATC code of drugs can provide valuable clues for drug repositioning.
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We discover important biological similarity features related to drugs and ATC codes.
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We propose a dD-Hybrid method to predict the unlabeled drug ATC-code pairs.
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Our method integrates drug-domain interaction network.
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Our hypothesis is domain is connected with a group of drugs sharing the same ATC code.