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Higher-order molecular organization as a source of biological function

机译:高阶分子组织是生物功能的来源

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摘要

MotivationMolecular interactions have widely been modelled as networks. The local wiring patterns around molecules in molecular networks are linked with their biological functions. However, networks model only pairwise interactions between molecules and cannot explicitly and directly capture the higher-order molecular organization, such as protein complexes and pathways. Hence, we ask if hypergraphs (hypernetworks), that directly capture entire complexes and pathways along with protein–protein interactions (PPIs), carry additional functional information beyond what can be uncovered from networks of pairwise molecular interactions. The mathematical formalism of a hypergraph has long been known, but not often used in studying molecular networks due to the lack of sophisticated algorithms for mining the underlying biological information hidden in the wiring patterns of molecular systems modelled as hypernetworks.
机译:动机分子相互作用已被广泛建模为网络。分子网络中分子周围的局部布线方式与其生物学功能有关。但是,网络仅对分子之间的成对相互作用进行建模,而不能明确,直接地捕获更高阶的分子组织,例如蛋白质复合物和途径。因此,我们询问是否直接捕获整个复合物和途径以及蛋白质-蛋白质相互作用(PPI)的超图(超网络)是否携带了超出成对分子相互作用网络所不能涵盖的其他功能信息。超图的数学形式主义早已为人所知,但由于缺乏用于挖掘隐藏在建模为超网络的分子系统布线模式中的基础生物学信息的复杂算法,因此并未经常用于研究分子网络。

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