基因组尺度代谢模型在人类疾病研究中的应用:系统性审查
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Updated: Jun 14, 2025

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
Published on: August 24, 2013
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Nicola Cortese1, Anna Procopio1, Alessio Merola1
1Department of Experimental and Clinical Medicine, Università degli Studi Magna Græcia, Catanzaro, 88100, Italy.
Computer methods and programs in biomedicine
|September 4, 2024
概括
本综述总结了基因组规模代谢模型 (GEM) 如何用于研究人类疾病. 它强调了这些计算工具对理解代谢障碍和寻找临床见解的日益应用.
科学领域:
- 系统生物学和计算生物学.
- 代谢网络建模.
背景情况:
- 基因组规模的代谢网络 (GEM) 是系统生物学中的强大工具.
- GEM集成生物数据用于研究细胞代谢.
- 在人类疾病研究中,GEM的应用显著增加.
研究的目的:
- 系统地审查应用基于约束的建模与GEM用于人类疾病调查的文献.
- 确定这一研究领域的关键问题和趋势.
- 作为计算生物学和代谢疾病研究人员的参考.
主要方法:
- 按照PRISMA指南进行系统的文献审查.
- 在Scopus,PubMed和Web of Science数据库中进行了搜索.
- 选择并分析了169篇相关的科学文章.
主要成果:
- 识别了使用GEM用于各种人类疾病的最新建模和计算方法.
- 根据临床研究领域进行分类研究.
- 讨论了从计算模型中提取临床信息的常见方法.
结论:
- 越来越多的人对基于GEM的方法对人类疾病研究的兴趣.
- 这一评论为科学家提供了宝贵的资源.
- 鼓励开发新的应用程序,以发现对代谢疾病的临床见解.
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