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Published on: December 21, 2019
Deciphering the Rules of in Silico Autophagy Methods for Expediting Medicinal Research
Yi Chen1, Guan Wang1, Haoyang Cai2
1State Key Laboratory of Biotherapy and Cancer Center and Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy , Chengdu 610041 , China.
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.
Insights
Autophagy, a cellular process for clearing damaged components, is increasingly linked to diseases. This review highlights computational ("in silico") methods that accelerate research into targeting autophagy for new therapies.
Area of Science:
- Cellular Biology
- Molecular Biology
- Biochemistry
Background:
- Autophagy is a fundamental cellular process conserved across evolution.
- This catabolic mechanism degrades damaged organelles and long-lived proteins.
- Growing scientific interest links autophagy dysfunction to various diseases.
Purpose of the Study:
- To review and summarize in silico autophagy methods.
- To promote the effective use of computational resources in autophagy research.
- To facilitate the development of therapeutic strategies targeting autophagy.
Main Methods:
- Literature review of online databases, web servers, and computational models.
- Analysis of omics approaches and systems biology network analyses related to autophagy.
- Categorization of diverse in silico tools for autophagy research.
Main Results:
- Numerous in silico tools and resources for autophagy research are now available online.
- These computational methods expedite the study of autophagy's role in disease.
- A comprehensive summary of these resources is provided to guide researchers.
Conclusions:
- In silico autophagy methods are crucial for advancing medicinal research.
- Effective utilization of these computational tools can accelerate the discovery of autophagy-targeted therapies.
- This review serves as a guide for researchers seeking to leverage in silico approaches for therapeutic development.
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