...
首页> 外文期刊>Frontiers of computer science in China >CONET: a virtual human system-centered platform for drug discovery
【24h】

CONET: a virtual human system-centered platform for drug discovery

机译:CONET:以虚拟人系统为中心的药物发现平台

获取原文
获取原文并翻译 | 示例
           

摘要

One of the most promising approaches to overcome the current limits of new drug development is to utilize natural products with known empirical efficacy, i.e., reverse pharmacology [1,2]. Natural product-based drugs can be classified into two categories, natural product-derived compounds (NPC) and natural product extracts (NPE). NPC means pure compounds derived from natural products. Aspirin from willow trees and Taxol from pacific yew trees are famous examples of the NPC drugs. On the other hand, NPE means mixture of natural compounds. Pharmaton from Ginseng and Tebonin from Ginko, licensed Boehringer Ingelheim and Schwabe, respectively, are famous examples of the NPE. Recently, US Food and Drug Administration (FDA) has approved two NPE drugs, Veregen and Fulyzaq. Currently, it has been known that more than 100 NPE drug candidates are in the FDA clinical trial stages. Though the attentions and interests for NPE drugs are increasing dramatically due to their higher success ratio, shorter time and lower cost of development comparing to the chemical drugs, there are two major intrinsic problems to solve.
机译:克服当前新药开发限制的最有前途的方法之一是利用具有已知经验功效的天然产物,即逆向药理学[1,2]。基于天然产物的药物可分为两类,天然产物衍生的化合物(NPC)和天然产物提取物(NPE)。 NPC是指源自天然产物的纯化合物。柳树中的阿司匹林和太平洋紫杉中的紫杉醇是NPC药物的著名例子。另一方面,NPE是指天然化合物的混合物。人参中的Pharmaton和银子中的Tebonin,分别是获得许可的勃林格殷格翰(Boehringer Ingelheim)和施瓦贝(Schwabe)是NPE的著名例子。最近,美国食品和药物管理局(FDA)批准了两种NPE药物,即Veregen和Fulyzaq。当前,已知有超过100种NPE候选药物处于FDA临床试验阶段。尽管与化学药物相比,NPE药物的成功率更高,时间更短,开发成本更低,但它们的关注度和兴趣正迅速增加,但仍有两个主要的内在问题需要解决。

著录项

  • 来源
    《Frontiers of computer science in China》 |2018年第1期|1-3|共3页
  • 作者

    Doheon LEE;

  • 作者单位

    Bio-Synergy National Research Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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