USING a database of molecular interactions may help to prevent drugs' side effects by predicting how they will interact with the body's receptors. It might even suggest new target diseases for existing drugs. Most drugs work by... [read full story]
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Scientists at the University of North Carolina at Chapel Hill School of Medicine and the University of California, San Francisco have developed and experimentally tested a technique to predict new target diseases for existing...
Scientists at the University of North Carolina at Chapel Hill School of Medicine and the University of California, San Francisco have developed and experimentally tested a technique to predict new target diseases for existing...
Scientists at the University of North Carolina at Chapel Hill School of Medicine and the University of California, San Francisco have developed and experimentally tested a technique to predict new target diseases for existing...
Scientists at the University of North Carolina at Chapel Hill School of Medicine and the University of California, San Francisco have developed and experimentally tested a technique to predict new target diseases for existing...
Scientists at the University of North Carolina at Chapel Hill School of Medicine and the University of California, San Francisco, have developed and experimentally tested a technique to predict new target diseases for existing...
Scientists have developed and experimentally tested a technique to predict new target diseases for existing drugs. The researchers developed a computational method that compares how similar the structures of all known drugs are...
Scientists at the University of North Carolina at Chapel Hill School of Medicine and the University of California, San Francisco have developed and experimentally tested a technique to predict new target diseases for existing...
USING a database of molecular interactions may help to prevent drugs' side effects by predicting how they will interact with the body's receptors. It might even suggest new target diseases for existing drugs.
The authors also discovered a target for the hallucinogenic compound (DMT). Shoichet and Roth ran DMT through their predictive algorithm and found that the psychedelic drug binds much more strongly to serotonin receptors,...
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