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首页> 外文期刊>The American journal of Chinese medicine >Computer automated prediction of potential therapeutic and toxicity protein targets of bioactive compounds from Chinese medicinal plants.
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Computer automated prediction of potential therapeutic and toxicity protein targets of bioactive compounds from Chinese medicinal plants.

机译:计算机自动预测中药中生物活性化合物的潜在治疗和毒性蛋白质靶标。

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摘要

Understanding the molecular mechanism and pharmacology of bioactive compounds from Chinese medicinal plants (CMP) is important in facilitating scientific evaluation of novel therapeutic approaches in traditional Chinese medicine. It is also of significance in new drug development based on the mechanism of Chinese medicine. A key step towards this task is the determination of the therapeutic and toxicity protein targets of CMP compounds. In this work, newly developed computer software INVDOCK is used for automated identification of potential therapeutic and toxicity targets of several bioactive compounds isolated from Chinese medicinal plants. This software searches a protein database to find proteins to which a CMP compound can bind or weakly bind. INVDOCK results on three CMP compounds (allicin, catechin and camptotecin) show that 60% of computer-identified potential therapeutic protein targets and 27% of computer-identified potential toxicity targets have been implicated or confirmed by experiments. This software may potentially be used as a relatively fast-speed and low-cost tool for facilitating the study of molecular mechanism and pharmacology of bioactive compounds from Chinese medicinal plants and natural products from other sources.
机译:了解中草药生物活性化合物的分子机理和药理作用对促进科学评估中药新疗法的方法具有重要意义。它对基于中药机理的新药开发也具有重要意义。这项任务的关键步骤是确定CMP化合物的治疗和毒性蛋白靶标。在这项工作中,新开发的计算机软件INVDOCK用于自动识别从中草药中分离出的几种生物活性化合物的潜在治疗和毒性目标。该软件搜索蛋白质数据库以查找CMP化合物可以结合或弱结合的蛋白质。对三种CMP化合物(allicin,儿茶素和喜树碱)的INVDOCK结果表明,已通过实验牵涉或证实了60%的计算机识别的潜在治疗性蛋白质靶标和27%的计算机识别的潜在毒性靶标。该软件有可能被用作相对较快且低成本的工具,以促进对中草药生物活性化合物和其他来源天然产物的分子机理和药理学的研究。

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