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Published successful cases using our servers

The following studies used DRAR-CPI or the CPI methodology to make scientific discoveries in their own fields. Visit a list of our servers extending the same methodology of the chemical-protein interactome for drug development and discovery.

  1. [2016] A group of researchers identified the indication expansion opportunity for the CRFR1 antagonist in oncology and infectious disease, using DRAR-CPI.
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  2. [2016] Researchers implemented DRAR-CPI to identify potential targets for novel chalcone-based Magnaporthe oryzae inhibitor.
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  3. [2016] Researchers compared the differences in drug CPI profiles to identify off-targets.
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  4. [2015] Researchers used our servers to validate their discoveries from other platforms for the target of capsaicin.
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  5. [2015] Researchers in silico identified putative targets for a novel scaffold of thiazolidinone derivatives.
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  6. [2015] Scientists from Wuhan University utilized the CPI method to identify the binding targets of Plumbagin (PLB).
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  7. [2014] A group of researchers predicted potential target for a novel marine compound, Xyloketal B (XKB), using our CPI server.
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  8. [2014] A group of scholar identified Potential Target of Tanshinone IIA for Acute Promyelocytic Leukemia Revealed by using DRAR-CPI.
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  9. [2013] A group from China Southern Medical school used DRAR-CPI and network analysis to discover the potential antitumor mechanisms of phenothiazine drugs.
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  10. [2013] A group of scientists from the State University of New York found Sodium/Hydrogen Exchange Inhibitors might be useful for Attention deficit hyperactivity disorder (ADHD) via mining the CPI data.
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  11. [2012 Patent] Treating attention deficit hyperactivity disorder with NHE inhibitors.
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  12. [2011 Media report] Researchers Develop Web-Based Method to Predict Adverse Events; Suggest New Uses for Old Drugs
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