Results 11 to 20 of about 297,984 (312)
On Functional Module Detection in Metabolic Networks [PDF]
Metabolites, 2013 Functional modules of metabolic networks are essential for understanding the metabolism of an organism as a whole. With the vast amount of experimental data and the construction of complex and large-scale, often genome-wide, models, the computer-aided ...
Ina Koch, Jörg Ackermann
doaj +2 more sources
Generative approaches to kinetic parameter inference in metabolic networks via latent space exploration. [PDF]
Nat CommunGenerative machine learning methods that use neural networks to parameterize large-scale and near genome-scale kinetic models have delivered significant efficiency gains in model construction, paving the way toward high-throughput dynamic metabolism ...
Choudhury S +5 more
europepmc +2 more sources
Frontiers in Plant Science, 2021 Fatty acids in crop seeds are a major source for both vegetable oils and industrial applications. Genetic improvement of fatty acid composition and oil content is critical to meet the current and future demands of plant-based renewable seed oils ...
Mathieu Cloutier +9 more
doaj +1 more source
A network perspective on metabolic inconsistency [PDF]
BMC Systems Biology, 2012 Integrating gene expression profiles and metabolic pathways under different experimental conditions is essential for understanding the coherence of these two layers of cellular organization. The network character of metabolic systems can be instrumental in developing concepts of agreement between expression data and pathways.
Nikolaus Sonnenschein +7 more
openaire +2 more sources
Stochastic Simulation of Cellular Metabolism
IEEE Access, 2020 Increased technological methods have enabled the investigation of biology at nanoscale levels. Such systems require the use of computational methods to comprehend the complex interactions that occur.
Emalie J. Clement +5 more
doaj +1 more source
Regularizing capacity of metabolic networks [PDF]
Physical Review E, 2007 Despite their topological complexity almost all functional properties of metabolic networks can be derived from steady-state dynamics. Indeed, many theoretical investigations (like flux-balance analysis) rely on extracting function from steady states. This leads to the interesting question, how metabolic networks avoid complex dynamics and maintain a ...
Marr, Carsten +2 more
openaire +3 more sources
On deducing causality in metabolic networks [PDF]
BMC Bioinformatics, 2008 Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to support the investigation of such networks. One of the relevant problems in this context is the comprehension of causality dependencies amongst the molecules involved in the metabolic ...
Chiara Bodei +2 more
openaire +2 more sources
A statistical mechanics description of environmental variability in metabolic networks [PDF]
, 2014 Many of the chemical reactions that take place within a living cell are irreversible. Due to evolutionary pressures, the number of allowable reactions within these systems are highly constrained and thus the resulting metabolic networks display ...
Crofts, J.J. +3 more
core +1 more source
Evolution under Fluctuating Environments Explains Observed Robustness in Metabolic Networks [PDF]
, 2010 Copyright: © 2010 Soyer, Pfeiffer. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and ...
Pfeiffer, Thomas +6 more
core +1 more source
CoRR, 2018 The metabolism of cells is the most basic and important part of human function. Neural networks in deep learning stem from neuronal activity. It is self-evident that the significance of metabolize neuronal network(MetaNet) in model construction. In this study, we explore neuronal metabolism for shallow network from proliferation and autophagy two ...
Dan Dai +4 more
openaire +2 more sources