Deciphering the Rules of in Silico Autophagy Methods for Expediting Medicinal Research
Deciphering the Rules of in Silico Autophagy Methods for Expediting Medicinal Research
复制标题
破译计算机自噬方法的规则以加速医学研究
DOI：
10.1021/acs.jmedchem.8b01673
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发表时间：
2019-08-08
影响因子：
7.3
通讯作者：
Liu, Bo
中科院分区：
文献类型：
--
作者：
Chen, Yi;Wang, Guan;Liu, Bo
自噬是一种高度进化保守的细胞分解代谢过程，负责降解受损的细胞器和长寿命蛋白质。这并不奇怪，科学界对自噬和疾病之间的联系越来越感兴趣。在过去的二十年里，许多新的实验方法已经出现在靶向自噬的医学研究领域。有趣的是，除了实验方法外，许多与自噬相关的数据库，Web服务器，数学模型，组学方法和系统生物学网络方法已经在线提供，这些方法可以被统称为“计算机自噬方法”，以加快当前的医学研究。因此，我们总结了一系列相关的计算机自噬方法，以促进最适当地使用这些资源用于潜在的治疗目的。
Autophagy is a highly evolutionarily conserved cellular catabolic process responsible for degradation of damaged organelles and long-lived proteins. It is not surprising that scientific interest in the connection of autophagy and diseases has been growing. Over the past 2 decades, many new experimental approaches have been emerging in the field of targeting autophagy for medicinal research. Interestingly, in addition to experimental methods, a number of databases, Web servers, mathematics models, omics approaches, and systems biology network approaches related to autophagy have become available online, which may be collectively considered to be "in silico autophagy methods" for expediting current medicinal research. Thus, we have summarized a series of relevant in silico autophagy approaches for promoting the most appropriate usage of these resources for potential therapeutic purposes.