Kinetic coupling -- breakthrough in understanding biochemical networks

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Kinetic coupling -- breakthrough in understanding biochemical networks
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A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function. Scientists succeeded in linking the structure and dynamics of biochemical networks via kinetic modules, thus clarifying a systems biology question that has been open for longtime.

A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function. Scientists succeeded in linking the structure and dynamics of biochemical networks via kinetic modules, thus clarifying a systems biology question that has been open for longtime.

A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function. Scientists from the University of Potsdam and the Max Planck Institute of Molecular Plant Physiology in Golm succeeded in linking the structure and dynamics of biochemical networks via kinetic modules, thus clarifying a systems biology question that has been open for longtime. Their groundbreaking findings were published today in the journalBiochemical networks are the central processing units of a cell that enable it to process signals and convert molecules into building blocks that support cell functions. They are described by the structure and dynamics of the underlying chemical reactions in the cell. These networks have been broken down into functional modules using the structure of the networks using bioinformatics methods. Kinetic modules are a type of functional modules that arise due to the interplay between network structure and dynamics."We wanted to find out how kinetic modules in the biochemical networks determine the robustness of the concentrations of metabolites and what effects they have on the functionality of these networks," explains Zoran Nikoloski, Professor for Bioinformatics at the University of Potsdam and a Cooperative Group Leader at the Max Planck Institute of Molecular Plant Physiology. Robustness refers to the ability of a network to maintain a constant concentration of metabolic products, across any change in the environment. This ensures the survival and growth of a cell in the event of various environmental fluctuations. The loss of robustness in the concentration of certain metabolites is considered a hallmark of many diseases. Using a new concept of kinetic modules based on the kinetic coupling of reaction rates, the team analyzed 34 metabolic network models of 26 different organisms, including those of the model plant. With their concept of kinetic modules, the researchers were able to successfully link the structure and dynamics of biochemical networks and thus clarify a systems biology question that has been open for three decades. "Our results have wide implications for biotechnological and medical applications," Nikoloski says."We expect that the automated identification of modules can be used to deepen our understanding of the relationships between regulatory, signaling, and metabolic networks and of design principles that extend beyond network structure."Researchers were able to control the growth of thin, branching networks that support cellular structure and help cells function. The networks, called microtubules, can exert force and precisely ... Despite the fundamental role networks play in how scientists understand the dynamics and properties of complex systems, reconstructing networks from large-scale experimental data is a challenge. In ... A phenomenon known from quantum systems could now make its way into biology: Researchers show that the notion of topological protection can also apply to biochemical networks. The model which the ... What did the ancestor of all bacteria look like, where did it live and what did it feed on? A team of researchers has now found answers to these questions by analyzing biochemical metabolic networks ...Mystery of 'Very Odd' Elasmosaur Finally Solved: Fiercely Predatory Marine Reptile Is New Species

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