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首页> 外文期刊>Journal of computational biology >Vavien: An Algorithm for Prioritizing Candidate Disease Genes Based on Topological Similarity of Proteins in Interaction Networks
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Vavien: An Algorithm for Prioritizing Candidate Disease Genes Based on Topological Similarity of Proteins in Interaction Networks

机译：Vavien：一种基于相互作用网络中蛋白质拓扑相似性的候选疾病基因优先排序算法

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Abstract Genome-wide linkage and association studies have demonstrated promise in identifying genetic factors that influence health and disease. An important challenge is to narrow down the set of candidate genes that are implicated by these analyses. Protein-protein interaction (PPI) networks are useful in extracting the functional relationships between known disease and candidate genes, based on the principle that products of genes implicated in similar diseases are likely to exhibit significant connectivity/proximity. Information flow–based methods are shown to be very effective in prioritizing candidate disease genes. In this article, we utilize the topology of PPI networks to infer functional information in the context of disease association. Our approach is based on the assumption that PPI networks are organized into recurrent schemes that underlie the mechanisms of cooperation among different proteins. We hypothesize that proteins associated with similar diseases would exhibit similar topological c..." /> rel="meta" type="application/atom+xml" href="http://dx.doi.org/10.1089%2Fcmb.2011.0154" /> rel="meta" type="application/rdf+json" href="http://dx.doi.org/10.1089%2Fcmb.2011.0154" /> rel="meta" type="application/unixref+xml" href="http://dx.doi.org/10.1089%2Fcmb.2011.0154" /> 展开▼
机译：摘要全基因组的连锁和关联研究已证明在鉴定影响健康和疾病的遗传因素方面有希望。一个重要的挑战是缩小与这些分析有关的候选基因的范围。蛋白质-蛋白质相互作用（PPI）网络可用于提取已知疾病与候选基因之间的功能关系，其依据是涉及相似疾病的基因产物可能表现出显着的连通性/邻近性。事实证明，基于信息流的方法在优先选择候选疾病基因方面非常有效。在本文中，我们利用PPI网络的拓扑来推断疾病关联中的功能信息。我们的方法基于以下假设：PPI网络被组织为循环计划，该计划是不同蛋白质之间合作机制的基础。我们假设与相似疾病相关的蛋白质会表现出相似的拓扑结构。“” <元名称=”关键字“ content =”算法，计算分子生物学“ /> rel =” meta“ type =” application / atom + xml“ href =” http：// dx .doi.org / 10.1089％2Fcmb.2011.0154“ /> rel = “ meta” type =“ application / rdf + json” href =“ http://dx.doi.org/10.1089%2Fcmb.2011.0154” /> rel =“ meta” type =“ application / unixref + xml” href =“ http://dx.doi.org/10.1089%2Fcmb.2011.0154” /> <元名称=“ MSSmartTagsPreventParsing” content =“ true

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