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BioMed Research International
Volume 2013 (2013), Article ID 701317, 13 pages
http://dx.doi.org/10.1155/2013/701317
Research Article

iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking

1Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333046, China
2Information School, ZheJiang Textile & Fashion College, NingBo 315211, China
3Gordon Life Science Institute, Belmont, MA 02478, USA
4Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia

Received 7 August 2013; Accepted 17 September 2013

Academic Editor: Tatsuya Akutsu

Copyright © 2013 Jian-Liang Min et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [13 citations]

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  • Avijit Podder, Nidhi Jatana, and N. Latha, “Human Dopamine Receptors Interaction Network (DRIN): A systems biology perspective on topology, stability and functionality of the network,” Journal of Theoretical Biology, vol. 357, pp. 169–183, 2014. View at Publisher · View at Google Scholar
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  • Yue-Nong Fan, Xuan Xiao, Jian-Liang Min, and Kuo-Chen Chou, “iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking,” International Journal of Molecular Sciences, vol. 15, no. 3, pp. 4915–4937, 2014. View at Publisher · View at Google Scholar
  • Shao-Wu Zhang, Li-Yang Hao, and Ting-He Zhang, “Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine,” International Journal of Molecular Sciences, vol. 15, no. 2, pp. 3220–3233, 2014. View at Publisher · View at Google Scholar
  • Wang-Ren Qiu, Xuan Xiao, and Kuo-Chen Chou, “iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components,” International Journal of Molecular Sciences, vol. 15, no. 2, pp. 1746–1766, 2014. View at Publisher · View at Google Scholar
  • Hui Ding, En-Ze Deng, Lu-Feng Yuan, Li Liu, Hao Lin, Wei Chen, and Kuo-Chen Chou, “iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels,” BioMed Research International, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar