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Network predicts drug side effects

机译:网络预测药物副作用

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Using a new mathematical approach, scientists have predicted drug side effects that typically aren't discovered until thousands of people have taken a medication. The technique is especially good at foreseeing side effects that show up after days or months of taking a drug, suggesting that a similar approach could help make drugs safer before they come to market and may even save lives. Researchers started with a 2005 catalog of existing medications and their known side effects, such as heart attacks or sleeping problems. After linking drugs and their side effects into a network, the researchers instructed a computer to predict likely new connections between drugs and side effects. The program was able to predict 42 percent of the drug-side effect relationships that were later found in patients, the researchers report in the Dec. 21 Science Translational Medicine.
机译:科学家使用一种新的数学方法预测了通常在成千上万的人服用药物后才发现的药物副作用。该技术尤其擅长预见在服药几天或几个月后出现的副作用,这表明类似的方法可以帮助使药物在投放市场之前更安全,甚至可以挽救生命。研究人员从2005年开始列出现有药物及其已知副作用(例如心脏病发作或睡眠问题)的目录。将药物及其副作用链接到网络中后,研究人员指示计算机预测药物与副作用之间可能存在的新联系。研究人员在12月21日的《科学转化医学》杂志上报告说,该程序能够预测后来在患者中发现的42%的药物副作用。

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  • 来源
    《Science news》 |2012年第2期|p.12|共1页
  • 作者

    Rachel Ehrenberg;

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