About MetaADEDB

Drug adverse events (abbreviated ADEs, also known as side effects of drugs) are an important resource of human phenotypic information, which is an expression that describes harm associated with the use of given medications at a normal dosage during normal use. In recent years, ADEs prediction have become a challenge of research in the pharmaceutical industry and public health. Every year, thousands of people were died due to serious ADEs. A comprehensive ADEs associated database, entitled MetaADEDB, which integrated CTD, SIDER and OFFSIDES provided the rich drug side effects sources for clinical ADEs prediction and personalized medicine. In addition, we developed the drug side effects based similarity inference (DSEBSI) method based on MetaADEDB for prediction of drug-target interaction and mode-of action of drugs. High predictive performance with the area under the receive operating characteristic curve of 0.9 were yielded via our method (Cheng et al, 2012, to be submitted).

Citing MetaADEDB

(1) Feixiong Cheng, Weihua Li, Xichuan Wang, Yadi Zhou, Zengrui Wu, Jie Shen and Yun Tang*. Adverse Drug Events: Database Construction and in Silico Prediction. J. Chem. Inf. Model., 2013, 53 (4), pp 744-752.

(2) Feixiong Cheng, Weihua Li, Zengrui Wu, Xichuan Wang, Chen Zhang, Jie Li, Guixia Liu and Yun Tang*. Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space. J. Chem. Inf. Model., 2013, 53 (4), pp 753-762.

Related References

(1) Feixiong Cheng, Chuang Liu, Jing Jiang, Weiqiang Lu, Weihua Li, Guixia Liu, Weixing Zhou, Jin Huang, and Yun Tang. Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference. PLoS Comput Biol, 2012 , 8(5): e1002503.

(2) Feixiong Cheng, Yadi Zhou, Jie Li, Weihua Li, Guixia Liu and Yun Tang. Prediction of Chemical-Protein Interactions: Multitarget-QSAR versus Computational Chemogenomic Methods. Mol BioSyst, 2012, 8: 2373-2384.

(3) Feixiong Cheng, Yadi Zhou, Weihua Li, Guixia Liu and Yun Tang. Prediction of Chemical-Protein Interactions with Weighted Network-Based Inference Method. PLoS One, 2012, 7(7): e41064.

Contact us

Feixiong Cheng, PhD Candidate

School of Pharmacy, East China University of Science and Technology.
Address: 130 Meilong Road, Shanghai 200237, China
Tel: +86-21-64251190
E-mail address: fxcheng1985@gmail.com

Prof. Yun Tang

Leader of LMMD, Professor and Vice Dean of School of Pharmacy, East China University of Science and Technology.
Address: 130 Meilong Road, Shanghai 200237, China
Tel: +86-21-64251052
E-mail address: ytang234@ecust.edu.cn

Please contact fxcheng@lmmd.org if you encounter any problems when browsing this site or you have suggestions.