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科学通报（英文版）
科学通报（英文版）

周光召

旬刊

1001-6538

csb@scichina.com

010-64036120

100717

北京东黄城根北街16号

科学通报（英文版）/Journal Chinese Science BulletinEISCI
查看更多>>《科学通报》创刊于1950年，是中国科学院主办、中国科学杂志社承办的自然科学综合性学术刊物，报道自然科学各学科基础理论和应用研究方面具有创新性和和高水平的、具有重要意义的最新研究成果，要求文章的可读性强，能在一个比较宽范的学术领域产生深刻的影响。我们的目标是：成为国内外读者了解中国乃至世界范围的自然科学各研究领域最新成果的主要窗口之一。《科学通报》进入了国际上主要检索系统，如CA，EI，日本《科技速报》和美国科学信息研究所（ISI）的以下系统：Science Citation Index(SCI-CDE)，SCISearch，Current Contents(PC&E)和Research Alert。
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    Targeting the undruggables-the power of protein degraders

    Chao ZhangYongbo LiuGuangchen LiZhouli Yang...
    1776-1797页
    查看更多>>摘要：Undruggable targets typically refer to a class of therapeutic targets that are difficult to target through conventional methods or have not yet been targeted,but are of great clinical significance.According to statistics,over 80％of disease-related pathogenic proteins cannot be targeted by current conventional treatment methods.In recent years,with the advancement of basic research and new technologies,the development of various new technologies and mechanisms has brought new perspectives to overcome challenging drug targets.Among them,targeted protein degradation technology is a breakthrough drug development strategy for challenging drug targets.This technology can specifically identify target pro-teins and directly degrade pathogenic target proteins by utilizing the inherent protein degradation path-ways within cells.This new form of drug development includes various types such as proteolysis targeting chimera(PROTAC),molecular glue,lysosome-targeting Chimaera(LYTAC),autophagosome-tethering compound(ATTEC),autophagy-targeting chimera(AUTAC),autophagy-targeting chimera(AUTOTAC),degrader-antibody conjugate(DAC).This article systematically summarizes the application of targeted protein degradation technology in the development of degraders for challenging drug targets.Finally,the article looks forward to the future development direction and application prospects of tar-geted protein degradation technology.
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    • NSTL
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      原文链接:
    • NETL
    • NSTL
    • 万方数据