The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization
نویسندگان
چکیده
Metabolites can inhibit the enzymes that generate them. To explore the general nature of metabolic self-inhibition, we surveyed enzymological data accrued from a century of experimentation and generated a genome-scale enzyme-inhibition network. Enzyme inhibition is often driven by essential metabolites, affects the majority of biochemical processes, and is executed by a structured network whose topological organization is reflecting chemical similarities that exist between metabolites. Most inhibitory interactions are competitive, emerge in the close neighbourhood of the inhibited enzymes, and result from structural similarities between substrate and inhibitors. Structural constraints also explain one-third of allosteric inhibitors, a finding rationalized by crystallographic analysis of allosterically inhibited L-lactate dehydrogenase. Our findings suggest that the primary cause of metabolic enzyme inhibition is not the evolution of regulatory metabolite-enzyme interactions, but a finite structural diversity prevalent within the metabolome. In eukaryotes, compartmentalization minimizes inevitable enzyme inhibition and alleviates constraints that self-inhibition places on metabolism.
منابع مشابه
A review of structural properties, metabolic function and measurement of peroxidase activity
The production of reactive oxygen species occurs during the natural metabolism of oxidative-breathing cells. Among reactive oxygen species, hydrogen peroxide is more dangerous to cell life due to its long half-life, but it is meanwhile an important regulatory molecule in redox signaling in living things. Peroxidases are one of the key antioxidant enzymes that are widely distributed in nature an...
متن کاملCorrelation between self-efficacy and addiction to social networks with the motivation of academic achievement in high school students in Tehran
Introduction: All kinds of social networks have had profound and varied effects on the lives of people in human society, especially adolescents and young people. The aim of this study was to determine the correlation between self-efficacy and addiction to social networks with the motivation of academic achievement in high school students in Tehran. Methods: The present study is descriptive-cor...
متن کاملA New Method to Improve Automated Classification of Heart Sound Signals: Filter Bank Learning in Convolutional Neural Networks
Introduction: Recent studies have acknowledged the potential of convolutional neural networks (CNNs) in distinguishing healthy and morbid samples by using heart sound analyses. Unfortunately the performance of CNNs is highly dependent on the filtering procedure which is applied to signal in their convolutional layer. The present study aimed to address this problem by a...
متن کاملExclusionary Decision Making in Tehran Metropolitan Region- Complexity, Self organization and Power of Action
Viewing urban areas as webs of complex, interwoven networks, this article aims to analyze the decision-making process and its outcomes in Tehran metropolitan region. To do so, first the theoretical basis of complexity in urban life and its implications for planning have been reviewed. Using the main notion of power of action i.e. agency, and through creating the network of actors and their rela...
متن کاملData Analysis Methods in Social Networks
Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 8 شماره
صفحات -
تاریخ انتشار 2017