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Diseasome An Approach to Understanding Gene-Disease Interactions

机译:Diseasome一种了解基因疾病相互作用的方法

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Using bioinformatics computational tools, network maps that integrate the complex interactions of genetics and diseases have been developed. The purpose of this review is to introduce the reader to new approaches in understanding disease-gene associations using network maps, with an emphasis on how the human disease network (HDN) map (or diseasome) was constructed. A search was conducted in PubMed using the years 1999-2011 and using key words diseasome, molecular interaction, interactome, protein-protein interaction, and gene. The information reviewed included journal reviews, open source and web-based databases, and open source computational tools.A review of the literature revealed the complexity of molecular, genetic, and protein structures that contribute to cellular function and possible disease, and how network mapping can help the clinician and scientist gain a better understanding of this complexity. Using computational tools and databases of genetics, protein interactions, and diseases, scientists have developed a network map of human genes and human diseases referred to as a diseasome.
机译:使用生物信息学计算工具,已经开发出整合了遗传学和疾病的复杂相互作用的网络图。这篇综述的目的是向读者介绍使用网络图了解疾病-基因关联的新方法,重点是如何构建人类疾病网络(HDN)图(或令人讨厌的)。在PubMed中使用1999-2011年进行了搜索,并使用了关键词:令人讨厌,分子相互作用,相互作用基因组,蛋白质-蛋白质相互作用和基因。所审查的信息包括期刊评论,基于开放源代码和基于Web的数据库以及开放源代码计算工具。对文献的回顾表明,分子,遗传和蛋白质结构的复杂性会影响细胞功能和可能的疾病,以及如何进行网络映射可以帮助临床医生和科学家更好地了解这种复杂性。利用遗传学,蛋白质相互作用和疾病的计算工具和数据库,科学家们开发了人类基因和人类疾病的网络图,这被称为疾病。

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