Literature DB >> 30888814

Deciphering the Rules of in Silico Autophagy Methods for Expediting Medicinal Research.

Yi Chen1, Guan Wang1, Haoyang Cai2, Yang Sun3, Liang Ouyang1, Bo Liu1.   

Abstract

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.

Mesh:

Year:  2019        PMID: 30888814     DOI: 10.1021/acs.jmedchem.8b01673

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  2 in total

Review 1.  Unravelling the roles of Autophagy in OSCC: A renewed perspective from mechanisms to potential applications.

Authors:  Qiutong Gou; Ling-Li Zheng; Haixia Huang
Journal:  Front Pharmacol       Date:  2022-10-03       Impact factor: 5.988

2.  Multi-omics approaches identify SF3B3 and SIRT3 as candidate autophagic regulators and druggable targets in invasive breast carcinoma.

Authors:  Shouyue Zhang; Jin Zhang; Yang An; Xiaoxi Zeng; Ziyi Qin; Yuqian Zhao; Heng Xu; Bo Liu
Journal:  Acta Pharm Sin B       Date:  2020-12-19       Impact factor: 11.413

  2 in total

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