首页> 外文会议>2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining >Identifying the cold and hot properties of medicinal herbs based on the associated target proteins by pattern recognition technology
【24h】

Identifying the cold and hot properties of medicinal herbs based on the associated target proteins by pattern recognition technology

机译:通过模式识别技术基于相关靶蛋白识别药材的冷热特性

获取原文
获取原文并翻译 | 示例

摘要

This study is aiming to develop a novel pattern recognition approach for identifying the cold and hot properties of Chinese medicinal herbs. All associated target proteins in the herbs with different properties were obtained from PubChem and other public databases, and the pattern recognition algorithms were used to analyze the proteins coupled with pathway analysis with IPA software. A small-scale data was adopted to test the reliability and feasibility of the algorithms.
机译:这项研究旨在开发一种新颖的模式识别方法,以识别中草药的冷热特性。从PubChem和其他公共数据库中获得了具有不同特性的草药中所有相关的目标蛋白质,并使用模式识别算法对蛋白质进行了分析,并使用IPA软件进行了路径分析。通过小规模数据验证了算法的可靠性和可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号