Results 21 to 30 of about 335,580 (367)

Integrating gene and protein expression data with genome-scale metabolic networks to infer functional pathways [PDF]

, 2013
This article has been made available through the Brunel Open Access Publishing Fund. Copyright @ 2013 Pey et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://
Beasley, JE, Pey, J, Planes, FJ, Rubio, A, Valgepea, K   +4 more
core   +3 more sources

On Algebraic Properties of Extreme Pathways in Metabolic Networks

Journal of Computational Biology, 2010
We give a concise development of some of the major algebraic properties of extreme pathways (pathways that cannot be the result of combining other pathways) of metabolic networks, contrasting them to those of elementary flux modes (pathways involving a minimal set of reactions). In particular, we show that an extreme pathway can be recognized by a rank
Friedrich Srienc, Dimitrije Jevremovic, Daniel Boley, Cong T. Trinh   +3 more
openaire   +4 more sources

MCR-ALS on metabolic networks: Obtaining more meaningful pathways [PDF]

Chemometrics and Intelligent Laboratory Systems, 2015
Research in this study was partially supported by the Spanish Ministry of Science and Innovation and FEDER funds from the European Union through grants DPI2011-28112-C04-01 and DPI2011-28112-C04-02. The authors are also grateful to Biopolis SL for supporting this research.
Folch-Fortuny, Abel, Tortajada Serra, Marta, Prats-Montalbán, José Manuel, Llaneras Estrada, Francisco, Picó Marco, Jesús Andrés, Ferrer Riquelme, Alberto José   +5 more
openaire   +4 more sources

FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps [PDF]

Bioinform., 2003
MOTIVATION The analysis of structure, pathways and flux distributions in metabolic networks has become an important approach for understanding the functionality of metabolic systems.
Steffen Klamt, J. Stelling, Martin Ginkel, E. Gilles   +3 more
semanticscholar   +2 more sources

Metabolic Pathways and Networks Associated With Tobacco Use in Military Personnel [PDF]

Journal of Occupational & Environmental Medicine, 2016
The aim of this study is to use high-resolution metabolomics (HRM) to identify metabolic pathways and networks associated with tobacco use in military personnel.Four hundred deidentified samples obtained from the Department of Defense Serum Repository were classified as tobacco users or nonusers according to cotinine content.
Young-Mi Go, Karan Uppal, Col Timothy M. Mallon, Dean P. Jones, Patricia Rohrbeck, Douglas I. Walker   +5 more
openaire   +3 more sources

Pathway-Consensus Approach to Metabolic Network Reconstruction for Pseudomonas putida KT2440 by Systematic Comparison of Published Models. [PDF]

PLoS ONE, 2017
Over 100 genome-scale metabolic networks (GSMNs) have been published in recent years and widely used for phenotype prediction and pathway design.
Qianqian Yuan, Teng Huang, Peishun Li, Tong Hao, Feiran Li, Hongwu Ma, Zhiwen Wang, Xueming Zhao, Tao Chen, Igor Goryanin   +9 more
doaj   +3 more sources

Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data [PDF]

Communications Biology, 2019
The identification and understanding of metabolic pathways is a key aspect in crop improvement and drug design. The common approach for their detection is based on gene annotation and ontology.
David Toubiana, Rami Puzis, Lingling Wen, Noga Sikron, Assylay Kurmanbayeva, Aigerim Soltabayeva, María del Mar Rubio Wilhelmi, Nir Sade, Aaron Fait, Moshe Sagi, Eduardo Blumwald, Yuval Elovici   +11 more
semanticscholar   +2 more sources

Predicting metabolic pathways from metabolic networks with limited biological knowledge [PDF]

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2010
Understanding the metabolism of new species (e.g. endophytic fungi that produce fuel) have tremendous impact on human lives. Based on predicted proteins and existing reaction databases, one can construct the metabolic network for the species. Next is to identify critical metabolic pathways from the network.
Leung, SY, Xiang, CL, Yiu, SM, Chin, FYL, Leung, HCM   +4 more
openaire   +4 more sources

Serum and urine metabolomic biomarkers for predicting prognosis in patients with immunoglobulin A nephropathy [PDF]

Kidney Research and Clinical Practice, 2023
Background Immunoglobulin A nephropathy (IgAN) is the most prevalent form of glomerulonephritis worldwide. Prediction of disease progression in IgAN can help to provide individualized treatment based on accurate risk stratification.
You Hyun Jeon, Sujin Lee, Da Woon Kim, Suhkmann Kim, Sun Sik Bae, Miyeun Han, Eun Young Seong, Sang Heon Song   +7 more
doaj   +1 more source

A single-cell network approach to decode metabolic regulation in gynecologic and breast cancers. [PDF]

NPJ Syst Biol Appl
Cancer metabolism is characterized by significant heterogeneity, presenting challenges for treatment efficacy and patient outcomes. Understanding this heterogeneity and its regulatory mechanisms at single-cell resolution is crucial for developing ...
Srivastava A, Vinod PK.
europepmc   +2 more sources