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Minimal Cut Sets and the Use of Failure Modes in Metabolic Networks

机译:代谢网络中的最小割集和故障模式的使用

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A minimal cut set is a minimal set of reactions whose inactivation would guarantee a failure in a certain network function or functions. Minimal cut sets (MCSs) were initially developed from the metabolic pathway analysis method (MPA) of elementary modes (EMs); they provide a way of identifying target genes for eliminating a certain objective function from a holistic perspective that takes into account the structure of the whole metabolic network. The concept of MCSs is fairly new and still being explored and developed; the initial concept has developed into a generalized form and its similarity to other network characterizations are discussed. MCSs can be used in conjunction with other constraints-based methods to get a better understanding of the capability of metabolic networks and the interrelationship between metabolites and enzymes/genes. The concept could play an important role in systems biology by contributing to fields such as metabolic and genetic engineering where it could assist in finding ways of producing industrially relevant compounds from renewable resources, not only for economical, but also for sustainability, reasons.
机译:最小割集是反应的最小集,其失活将保证某些网络功能或某些功能失败。最小割集(MCS)最初是根据基本模式(EM)的代谢途径分析方法(MPA)开发的;从整体角度考虑了整个代谢网络的结构,它们提供了一种鉴定目标基因的方法,以消除某些目标功能。 MCS的概念还很新,仍在探索和发展中。最初的概念已发展成为一种广义形式,并讨论了其与其他网络特性的相似性。 MCS可以与其他基于约束的方法结合使用,以更好地了解代谢网络的功能以及代谢物与酶/基因之间的相互关系。通过在代谢和基因工程等领域做出贡献,该概念可以在系统生物学中发挥重要作用,不仅可以出于经济方面的考虑,而且出于可持续性方面的考虑,可以帮助寻找从可再生资源生产与工业相关的化合物的方法。

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