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The metabolic network plays a crucial role in regulating bacterial metabolism and growth, but it is subject to inherent molecular stochasticity. Previous studies have utilized flux balance analysis and the maximum entropy method to predict…

分子网络 · 定量生物学 2024-01-12 Shaohua Guan , Zhichao Zhang , Zihan Zhang , Hualin Shi

Despite major environmental and genetic differences, microbial metabolic networks are known to generate consistent physiological outcomes across vastly different organisms. This remarkable robustness suggests that, at least in bacteria,…

分子网络 · 定量生物学 2022-05-24 Anna Paola Muntoni , Alfredo Braunstein , Andrea Pagnani , Daniele De Martino , Andrea De Martino

The identification of cellular objectives is one of the central topics in the research of microbial metabolic networks. In particular, the information about a cellular objective is needed in flux balance analysis which is a commonly used…

分子网络 · 定量生物学 2012-03-22 Tommi Aho , Juha Kesseli , Olli Yli-Harja , Stuart A. Kauffman

Which properties of metabolic networks can be derived solely from stoichiometric information about the network's constituent reactions? Predictive results have been obtained by Flux Balance Analysis (FBA), by postulating that cells set…

分子网络 · 定量生物学 2018-09-05 Daniele De Martino , Anna MC Andersson , Tobias Bergmiller , Călin C Guet , Gašper Tkačik

The aim of this work is to extend the capital growth theory developed by Kelly, Breiman, Cover and others to asset market models with transaction costs. We define a natural generalization of the notion of a numeraire portfolio proposed by…

投资组合管理 · 定量金融 2009-09-28 Wael Bahsoun , Igor V. Evstigneev , Michael I. Taksar

We calculate the optimal solutions of the fully heterogeneous Von Neumann expansion problem with $N$ processes and $P$ goods in the limit $N\to\infty$. This model provides an elementary description of the growth of a production economy in…

物理与社会 · 物理学 2009-11-11 Andrea De Martino , Matteo Marsili

Understanding the organization of reaction fluxes in cellular metabolism from the stoichiometry and the topology of the underlying biochemical network is a central issue in systems biology. In this task, it is important to devise reasonable…

分子网络 · 定量生物学 2009-11-13 C. Martelli , A. De Martino , E. Marinari , M. Marsili , I. Perez Castillo

We study an optimal control problem arising from a resource allocation problem in cellular metabolism. A minimalistic model that describes the production of enzymatic vs. non-enzymatic biomass components from a single nutrient source is…

最优化与控制 · 数学 2017-04-10 Steffen Waldherr , Henning Lindhorst

This paper theoretically analyzes a phenomenological stochastic model for bacterial growth. This model comprises cell division and the linear growth of cells, where growth rates and cell cycles are drawn from lognormal distributions. We…

生物物理 · 物理学 2016-06-28 Ken Yamamoto , Jun-ichi Wakita

The solution space of genome-scale models of cellular metabolism provides a map between physically viable flux configurations and cellular metabolic phenotypes described, at the most basic level, by the corresponding growth rates. By…

分子网络 · 定量生物学 2016-05-30 Daniele De Martino , Fabrizio Capuani , Andrea De Martino

Cellular metabolism, the integrated interconversion of thousands of metabolic substrates through enzyme-catalyzed biochemical reactions, is the most investigated complex intercellular web of molecular interactions. While the topological…

分子网络 · 定量生物学 2015-06-26 E. Almaas , B. Kovacs , T. Vicsek , Z. N. Oltvai , A. -L. Barabasi

High-throughput experimental techniques and bioinformatics tools make it possible to obtain reconstructions of the metabolism of microbial species. Combined with mathematical frameworks such as flux balance analysis, which assumes that…

In order to grow in any given environment, bacteria need to collect information about the medium composition and implement suitable growth strategies by adjusting their regulatory and metabolic degrees of freedom. In the standard sense,…

生物物理 · 物理学 2023-03-22 Anna Paola Muntoni , Andrea De Martino

We introduce a general theoretical framework to study the shape dynamics of actively growing and remodeling surfaces. Using this framework we develop a physical model for growing bacterial cell walls and study the interplay of cell shape…

生物物理 · 物理学 2016-04-08 Shiladitya Banerjee , Norbert F. Scherer , Aaron R. Dinner

Experimental and empirical observations on cell metabolism cannot be understood as a whole without their integration into a consistent systematic framework. However, the characterization of metabolic flux phenotypes is typically reduced to…

Metabolic scaling is one of the most important patterns in biology. Theory explaining the 3/4-power size-scaling of biological metabolic rate does not predict the non-linear scaling observed for smaller life forms. Here we present a new…

生物物理 · 物理学 2024-03-04 Mark E. Ritchie , Christopher P. Kempes

The regulation of metabolic activity by tuning enzyme expression levels is crucial to sustain cellular growth in changing environments. Metabolic networks are often studied at steady state using constraint-based models and optimization…

分子网络 · 定量生物学 2014-10-24 Steffen Waldherr , Diego A. Oyarzún , Alexander Bockmayr

Metabolism and evolution are closely connected: if a mutation incurs extra energetic costs for an organism, there is a baseline selective disadvantage that may or may not be compensated for by other adaptive effects. A long-standing, but to…

种群与进化 · 定量生物学 2019-06-19 Efe Ilker , Michael Hinczewski

We use the oscillating Min proteins of Escherichia coli as a prototype system to illustrate the current state and potential of modeling protein dynamics in space and time. We demonstrate how a theoretical approach has led to striking new…

亚细胞过程 · 定量生物学 2007-05-23 Martin Howard , Karsten Kruse

In this thesis, we have studied the large scale structure and system level dynamics of certain biological networks using tools from graph theory, computational biology and dynamical systems. We study the structure and dynamics of large…

分子网络 · 定量生物学 2008-12-31 Areejit Samal
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