DSEP: A Tool Implementing Novel Method to Predict Side Effects of Drugs.
Drug side effects, or adverse drug reactions, have become a focus of public health concern. Anticipating side effects before the drugs are granted marketing authorization for clinical use can help reduce health threats. An increasing need for methods and tools that facilitate side-effect prediction still remains. Here, we present DSEP, which is a tool that is able to analyze chemistry files to predict side effects of drugs that are under development and have not been included into any database. Meanwhile, DSEP provides three computational methods, one of which is a novel method proposed by us. The method can obtain higher AUC(0.8927) and AUPR(0.4143) scores than previous work. The advantage characteristic and method made DSEP a useful tool to predict potential side effects for a given drug or compound. We use DSEP to conduct uncharacterized drugs' side-effect prediction and confirm interesting results.
1 Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University , Shanghai, China .
Shu-Yuan
SY
Niu
1 Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University , Shanghai, China .
Ming-Yuan
MY
Xin
1 Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University , Shanghai, China .
Jian
J
Luo
1 Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University , Shanghai, China .
Ming-Yao
MY
Liu
2 Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University , Shanghai, China .
Zhen-Ran
ZR
Jiang
D064420:Drug-Related Side Effects and Adverse Reactions / Q000517:prevention & control*; D012984:Software
chemical substructures; drug side effect; neural network