Academic literature on the topic 'Metabolic pathways analysis'

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Journal articles on the topic "Metabolic pathways analysis"

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Barik, Dr Bibhuti Prasad. "In Silico Observations and Analysis of Metabolic Pathways." International Journal of Scientific Research 2, no. 11 (2012): 44–48. http://dx.doi.org/10.15373/22778179/nov2013/14.

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Katz, J. "Mathematical analysis of metabolic pathways." American Journal of Physiology-Endocrinology and Metabolism 252, no. 4 (1987): E571—E572. http://dx.doi.org/10.1152/ajpendo.1987.252.4.e571.

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Forst, Christian V., and Klaus Schulten. "Phylogenetic Analysis of Metabolic Pathways." Journal of Molecular Evolution 52, no. 6 (2001): 471–89. http://dx.doi.org/10.1007/s002390010178.

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Moreno-Sánchez, Rafael, Emma Saavedra, Sara Rodríguez-Enríquez, and Viridiana Olín-Sandoval. "Metabolic Control Analysis: A Tool for Designing Strategies to Manipulate Metabolic Pathways." Journal of Biomedicine and Biotechnology 2008 (2008): 1–30. http://dx.doi.org/10.1155/2008/597913.

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The traditional experimental approaches used for changing the flux or the concentration of a particular metabolite of a metabolic pathway have been mostly based on the inhibition or over-expression of the presumed rate-limiting step. However, the attempts to manipulate a metabolic pathway by following such approach have proved to be unsuccessful. Metabolic Control Analysis (MCA) establishes how to determine, quantitatively, the degree of control that a given enzyme exerts on flux and on the concentration of metabolites, thus substituting the intuitive, qualitative concept of rate limiting step
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Mattei, Gianluca, Zhuohui Gan, Matteo Ramazzotti, Bernhard O. Palsson, and Daniel C. Zielinski. "Differential Expression Analysis Utilizing Condition-Specific Metabolic Pathways." Metabolites 13, no. 11 (2023): 1127. http://dx.doi.org/10.3390/metabo13111127.

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Pathway analysis is ubiquitous in biological data analysis due to the ability to integrate small simultaneous changes in functionally related components. While pathways are often defined based on either manual curation or network topological properties, an attractive alternative is to generate pathways around specific functions, in which metabolism can be defined as the production and consumption of specific metabolites. In this work, we present an algorithm, termed MetPath, that calculates pathways for condition-specific production and consumption of specific metabolites. We demonstrate that
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Liao, James C. "Modelling and analysis of metabolic pathways." Current Opinion in Biotechnology 4, no. 2 (1993): 211–16. http://dx.doi.org/10.1016/0958-1669(93)90127-i.

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Arias-Méndez, Esteban, Diego Barquero-Morera, and Francisco J. Torres-Rojas. "Low-Cost Algorithms for Metabolic Pathway Pairwise Comparison." Biomimetics 7, no. 1 (2022): 27. http://dx.doi.org/10.3390/biomimetics7010027.

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Metabolic pathways provide key information for achieving a better understanding of life and all its processes; this is useful information for the improvement of medicine, agronomy, pharmacy, and other similar areas. The main analysis tool used to study these pathways is based on pathway comparison, using graph data structures. Metabolic pathway comparison has been defined as a computationally complex task. In a previous work, two new algorithms were introduced to treat the problem of metabolic pathway pairwise comparison. Here we provide an extended analysis with more data and a deeper analysi
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Xie, Fuquan, Zhijun Feng, and Beibei Xu. "Metabolic Characteristics of Gut Microbiota and Insomnia: Evidence from a Mendelian Randomization Analysis." Nutrients 16, no. 17 (2024): 2943. http://dx.doi.org/10.3390/nu16172943.

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Insomnia is a common sleep disorder that significantly impacts individuals’ sleep quality and daily life. Recent studies have suggested that gut microbiota may influence sleep through various metabolic pathways. This study aims to explore the causal relationships between the abundance of gut microbiota metabolic pathways and insomnia using Mendelian randomization (MR) analysis. This two-sample MR study used genetic data from the OpenGWAS database (205 gut bacterial pathway abundance) and the FinnGen database (insomnia-related data). We identified single nucleotide polymorphisms (SNPs) associat
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Huang, Yan, Rong Chen, Shuci Yang, Ye Chen, and Xiaoying Lü. "The Mechanism of Interaction Between Gold Nanoparticles and Human Dermal Fibroblasts Based on Integrative Analysis of Transcriptomics and Metabolomics Data." Journal of Biomedical Nanotechnology 18, no. 6 (2022): 1562–76. http://dx.doi.org/10.1166/jbn.2022.3365.

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The aim of this paper was to combine transcriptomics and metabolomics to analyze the mechanism of gold nanoparticles (GNPs) on human dermal fibroblasts (HDFs). First, 20-nm GNPs were prepared, and the differentially expressed genes in HDFs were subsequently screened by transcriptome sequencing technology after 4, 8, and 24 h of treatment with GNPs. By comparing the metabolic pathways in which the metabolites obtained in a previous study were involved, the pathways involving both genes and metabolites were filtered, and the differentially expressed genes and metabolites with upstream and downst
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Wedmark, Ylva Katarina, Jon Olav Vik, and Ove Øyås. "A hierarchy of metabolite exchanges in metabolic models of microbial species and communities." PLOS Computational Biology 20, no. 9 (2024): e1012472. http://dx.doi.org/10.1371/journal.pcbi.1012472.

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The metabolic network of an organism can be analyzed as a constraint-based model. This analysis can be biased, optimizing an objective such as growth rate, or unbiased, aiming to describe the full feasible space of metabolic fluxes through pathway analysis or random flux sampling. In particular, pathway analysis can decompose the flux space into fundamental and formally defined metabolic pathways. Unbiased methods scale poorly with network size due to combinatorial explosion, but a promising approach to improve scalability is to focus on metabolic subnetworks, e.g., cells’ metabolite exchanges
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Dissertations / Theses on the topic "Metabolic pathways analysis"

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Lisowska, Beata. "Genomic analysis and metabolic modelling of Geobacillus thermoglucosidasius NCIMB 11955." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690738.

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Geobacillus thermoglucosidasius is a Gram-positive thermophilic eubacterium (45-70‰) that has the ability to convert pre-treated lignocellulosic material LCM into ethanol. This organism has been genetically engineered such that its yield of ethanol production is in excess of 90% of the theoretical maximum [38]. There remains considerable scope to develop G.thermoglucosidasius to produce alternative fuels and chemicals of industrial importance. For such a useful bacterium the understanding of the global metabolism remains poorly characterised. To gain a better insight into the metabolic pathway
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Williams, H. E. "Mathematical modelling of metabolic pathways in pig muscle." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/42536/.

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Improving efficiency within the agricultural industry is vital to maintain the food demands of the increasing population, as well the current preference for a more protein rich diet. One avenue for addressing these issues is to study animal-based growth to determine if the efficiency of the production system can be improved by increasing lean muscle mass. The aim of this thesis is to provide an alternative exploration to experimental work to provide an insight into how muscle metabolism in pigs is altered by the administration of a beta-agonist which induces muscle hypertrophy. This will be in
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Sakakibara, Norikazu. "Metabolic analysis of the cinnamate/monolignol and lignan pathways." Kyoto University, 2005. http://hdl.handle.net/2433/145058.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第11658号<br>農博第1514号<br>新制||農||911(附属図書館)<br>学位論文||H17||N4051(農学部図書室)<br>23301<br>UT51-2005-D407<br>京都大学大学院農学研究科応用生命科学専攻<br>(主査)教授 島田 幹夫, 教授 關谷 次郎, 教授 坂田 完三<br>学位規則第4条第1項該当
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Jaques, Colin Mark. "Modelling of metabolic pathways for Saccharopolyspora erythraea using flux balance analysis." Thesis, University College London (University of London), 2004. http://discovery.ucl.ac.uk/1446668/.

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The objective of this thesis is to use metabolic modelling techniques to investigate primary and secondary metabolism in S. erythraea and from this to identify key factors controlling flux distribution during secondary metabolism. S. erythraea is a member of the actinomycetes a group of bacteria responsible for the production of a number of commercially important small molecules. Actinomycete physiology is considerably more complicated than that seen in "simple" bacteria such as E. coli. The conjecture investigated in this thesis is that metabolic modelling techniques that take into account th
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Goel, Gautam. "Dynamic flux estimation a novel framework for metabolic pathway analysis /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31769.

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Thesis (Ph.D)--Biomedical Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Voit, Eberhard O.; Committee Member: Butera, Robert; Committee Member: Chen, Rachel; Committee Member: Kemp, Melissa; Committee Member: Neves, Ana Rute. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Cunha, Oberdam de Lima. "SAMPA (System for Comparative Analysis of Metabolic PAthways) - uma comparação de vias metabólicas." Laboratório Nacional de Computação Científica, 2008. http://www.lncc.br/tdmc/tde_busca/arquivo.php?codArquivo=161.

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Com o advento das tecnologias que propiciaram os seqüenciamentos e as análises de genomas completos em tempo relativamente curto, muitos dados sobre vias metabólicas de procariotos e eucariotos puderam ser gerados. Análises comparativas de vias metabólicas de diferentes genomas podem auxiliar no entendimento das relações organizacionais dentre e fora das espécies. Com base em tais perspectivas, este trabalho tem como finalidade implementar um sistema que permita comparar, através de diferentes critérios, vias metabólicas de bactérias. O sistema SAMPA (System for comparative Analysis of Metabo
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Antoniewicz, Maciek Robert. "Comprehensive analysis of metabolic pathways through the combined use of multiple isotopic tracers." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37457.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2006.<br>Includes bibliographical references (p. 287-294).<br>Metabolic Flux Analysis (MFA) has emerged as a tool of great significance for metabolic engineering and the analysis of human metabolic diseases. An important limitation of MFA, as carried out via stable isotope labeling and GC/MS measurements, is the large number of isotopomer equations that need to be solved. This restriction reduces the ability of MFA to fully utilize the power of multiple isotopic tracers in elucidating the physiology of compl
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Beltrame, L. "Indentification of disregulated metabolic pathways by transcriptomic analysis in renal cell carcinoma samples." Doctoral thesis, Università degli Studi di Milano, 2008. http://hdl.handle.net/2434/44738.

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Microarray analysis, with its ability of simultaneously assessing the expression of thousands of genes, has always attracted interest in cancer research. However, traditional microarray studies suffer from many shortcomings, which result often in poor reproducibility of the studies. Recently, a new approach called group testing, targeting deregulated groups of genes (such as pathways) rather than single entities, has been proposed. This work focuses on the use of group testing techniques towards the identification of deregulated pathways in renal cell carcinoma over three publicly available mi
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Henderson, David Allen. "Reconstruction of metabolic pathways by the exploration of gene expression data with factor analysis." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/30089.

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Microarray gene expression data for thousands of genes in many organisms is quickly becoming available. The information this data can provide the experimental biologist is powerful. This data may provide information clarifying the regulatory linkages between genes within a single metabolic pathway, or alternative pathway routes under different environmental conditions, or provide information leading to the identification of genes for selection in animal and plant genetic improvement programs or targets for drug therapy. Many analysis methods to unlock this information have been both propose
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Zychlinski-Kleffmann, Anne Kathrin von. "Rice etioplast proteome analysis: Novel insights into the complexity of metabolic and regulatory pathways /." Zürich : ETH, 2005. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=16120.

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Books on the topic "Metabolic pathways analysis"

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Bacterial Cellular Metabolic Systems Metabolic Regulation Of A Cell System With 13cmetabolic Flux Analysis. Woodhead Publishing, 2012.

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Systems Biology: Constraint-Based Reconstruction and Analysis. Cambridge University Press, 2015.

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Palsson, Bernhard O. Systems Biology: Constraint-Based Reconstruction and Analysis. Cambridge University Press, 2015.

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Lamari, Foudil, and Jean-Marie Saudubray. Disorders of Complex Lipids Synthesis and Remodeling. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199972135.003.0066.

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Defective lipid catabolic pathways are involved in numerous inherited metabolic diseases such as lysosomal storage diseases and peroxisome biogenesis disorders. We recently described a new classification of a rapidly growing group of inherited metabolic disorders involving biosynthesis and remodeling of complex lipids including phospholipids and sphingolipids. The remarkable progress achieved over the last decade in high throughput gene sequencing and in lipid analysis technologies have enabled the description of more than 40 diseases linked to defects in enzymes involved in these pathways. So
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Voit, Eberhard O., and Néstor V. Torres. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, 2002.

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Voit, Eberhard O., and Néstor V. Torres. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, 2004.

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Voit, Eberhard O., and Néstor V. Torres. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, 2002.

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Voit, Eberhard O., and Néstor V. Torres. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, 2002.

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Voit, Eberhard O., and Néstor V. Torres. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, 2011.

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Voit, Eberhard O., and Néstor V. Torres. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, 2009.

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Book chapters on the topic "Metabolic pathways analysis"

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Villadsen, John. "Primary Metabolic Pathways and Metabolic Flux Analysis." In Fundamental Bioengineering. Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527697441.ch04.

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Maudsley, Stuart, Wayne Chadwick, Liyun Wang, Yu Zhou, Bronwen Martin, and Sung-Soo Park. "Bioinformatic Approaches to Metabolic Pathways Analysis." In Methods in Molecular Biology. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-160-4_5.

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Kopin, Irwin J. "Estimation of Magnitudes of Alternative Metabolic Pathways." In Methods of Biochemical Analysis. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470110294.ch5.

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Trinh, Cong T., and R. Adam Thompson. "Elementary Mode Analysis: A Useful Metabolic Pathway Analysis Tool for Reprograming Microbial Metabolic Pathways." In Subcellular Biochemistry. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5055-5_2.

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Slenter, Denise N., Martina Kutmon, and Egon L. Willighagen. "WikiPathways: Integrating Pathway Knowledge with Clinical Data." In Physician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67727-5_73.

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SummaryThroughout the chapters in this book, pathways are used to visualize how genetically inheritable metabolic disorders are related. These pathways provide common conceptual models which explain groups of chemical reactions within their biological context. Visual representations of the reactions in biological pathway diagrams provide intuitive ways to study the complex metabolic processes. In order to link (clinical) data to these pathways, they have to be understood by computers. Understanding how to move from a regular pathway drawing to its machine-readable counterpart is pertinent for
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Rosselló, Francesc, and Gabriel Valiente. "Analysis of Metabolic Pathways by Graph Transformation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30203-2_7.

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Rohrschneider, Markus, Alexander Ullrich, Andreas Kerren, Peter F. Stadler, and Gerik Scheuermann. "Visual Network Analysis of Dynamic Metabolic Pathways." In Advances in Visual Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17289-2_31.

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Fell, David A., and Simon Thomas. "Increasing the flux in a metabolic pathway: a metabolic control analysis perspective." In Regulation of Primary Metabolic Pathways in Plants. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4818-4_13.

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Van Cauter, Sofie, and Marco Essig. "Toxic and Metabolic Disorders." In IDKD Springer Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50675-8_9.

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AbstractMetabolic diseases are mostly congenital inborn errors leading to functional defects in metabolic pathways, whereas toxic and metabolic diseases in adults are usually acquired. MRI is the cornerstone in the assessment of these patients. The final diagnosis is often established in combination with laboratory findings and/or genetic analysis. Imaging patterns are almost invariably bilateral and often symmetric or nearly symmetric. The basal ganglia and thalami are often involved in acquired metabolic and toxic diseases. This chapter focuses on the most common inborn errors of metabolism
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Loraine, Ann. "Co-expression Analysis of Metabolic Pathways in Plants." In Plant Systems Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-563-7_12.

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Conference papers on the topic "Metabolic pathways analysis"

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Mores, Wannes, Satyajeet S. Bhonsale, Filip Logist, and Jan F. M. Van Impe. "Metabolic network reduction based on Extreme Pathway sets." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132855.

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The use of metabolic networks is extremely valuable for design and optimisation of bioprocesses as they provide great insight into cellular metabolism. Within bioprocess optimisation, they have enabled better (economic) objective performance through more accurate network-based models. However, one of the drawbacks of using metabolic networks is their underdeterminacy, leading to non-unique flux distributions. Flux Balance Analysis (FBA) reduces this issue by making assumptions on the behaviour of the cell. However, for metabolic networks of higher complexity, can still struggle with underdeter
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Meitalovs, Jurijs, and Egils Stalidzans. "Analysis of synthetic metabolic pathways solution space." In 2013 IEEE International Conference on System Science and Engineering (ICSSE). IEEE, 2013. http://dx.doi.org/10.1109/icsse.2013.6614656.

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Jourdan, Fabien, and Guy Melancon. "Tool for metabolic and regulatory pathways visual analysis." In Electronic Imaging 2003, edited by Robert F. Erbacher, Philip C. Chen, Jonathan C. Roberts, Matti T. Groehn, and Katy Boerner. SPIE, 2003. http://dx.doi.org/10.1117/12.477524.

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Noriega, Fernando G. "Metabolic analysis of the juvenile hormone synthesis pathways in mosquitoes." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.91917.

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Cakmak, Ali, Mustafa Kirac, Marc R. Reynolds, Zehra M. Ozsoyoglu, and Gultekin Ozsoyoglu. "Gene Ontology-Based Annotation Analysis and Categorization of Metabolic Pathways." In 19th International Conference on Scientific and Statistical Database Management (SSDBM 2007). IEEE, 2007. http://dx.doi.org/10.1109/ssdbm.2007.35.

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"METABOLIC MODELING OF CONVERGING METABOLIC PATHWAYS - Analysis of Non-steady State Stable Isotope-resolve Metabolism of UDP-GlcNAc and UDP-GalNAc." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003129401080115.

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Maniadi, Evaggelia M., and Ioannis G. Tollis. "Analysis and visualization of metabolic pathways and networks: A hypegraph approach." In 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2014. http://dx.doi.org/10.1109/bhi.2014.6864316.

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"STABILITY ANALYSIS FOR BACTERIAL LINEAR METABOLIC PATHWAYS WITH MONOTONE CONTROL SYSTEM THEORY." In 7th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002944900220029.

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Pedersen, Jay, Ryan Patch, Lotfollah Najjar, and Dhundy R. Bastola. "PathwayLinks: Network analysis of metabolic pathways across bacterial organisms in a community." In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2014. http://dx.doi.org/10.1109/bibm.2014.6999276.

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Vetchinkina, E. P., V. Yu Gorshkov, N. E. Gogoleva, Yu V. Gogolev, and V. E. Nikitina. "Comparative analysis of transcriptomes of different morphological structures of the basidiomycete Lentinus edodes." In 2nd International Scientific Conference "Plants and Microbes: the Future of Biotechnology". PLAMIC2020 Organizing committee, 2020. http://dx.doi.org/10.28983/plamic2020.270.

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A comparative analysis of transcriptomes at the vegetative and generative stages of the development of Lentinus edodes basidiomycetes was carried out. The nature of differential gene expression was described, and the activated/repressed metabolic pathways were visualized.
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Reports on the topic "Metabolic pathways analysis"

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Aharoni, Asaph, Zhangjun Fei, Efraim Lewinsohn, Arthur Schaffer, and Yaakov Tadmor. System Approach to Understanding the Metabolic Diversity in Melon. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593400.bard.

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Fruit quality is determined by numerous genetic factors that affect taste, aroma, ‎color, texture, nutritional value and shelf life. To unravel the genetic components ‎involved in the metabolic pathways behind these traits, the major goal of the project was to identify novel genes that are involved in, or that regulate, these pathways using correlation analysis between genotype, metabolite and gene expression data. The original and specific research objectives were: (1) Collection of replicated fruit from a population of 96 RI lines derived from parents distinguished by great diversity in frui
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Sharon, Amir, and Maor Bar-Peled. Identification of new glycan metabolic pathways in the fungal pathogen Botrytis cinerea and their role in fungus-plant interactions. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597916.bard.

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The involvement of glycans in microbial adherence, recognition and signaling is often a critical determinant of pathogenesis. Although the major glycan components of fungal cell walls have been identified there is limited information available on its ‘minor sugar components’ and how these change during different stages of fungal development. Our aim was to define the role of Rhacontaining-glycans in the gray mold disease caused by the necrotrophic fungus B. cinerea. The research was built on the discovery of two genes, Bcdhand bcer, that are involved in formation of UDP-KDG and UDP-Rha, two UD
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Fait, Aaron, Grant Cramer, and Avichai Perl. Towards improved grape nutrition and defense: The regulation of stilbene metabolism under drought. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594398.bard.

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The goals of the present research proposal were to elucidate the physiological and molecular basis of the regulation of stilbene metabolism in grape, against the background of (i) grape metabolic network behavior in response to drought and of (ii) varietal diversity. The specific objectives included the study of the physiology of the response of different grape cultivars to continuous WD; the characterization of the differences and commonalities of gene network topology associated with WD in berry skin across varieties; the study of the metabolic response of developing berries to continuous WD
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Droby, S., J. L. Norelli, M. E. Wisniewski, S. Freilich, A. Faigenboim, and C. Dardick. Microbial networks on harvested apples and the design of antagonistic consortia to control postharvest pathogens. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134164.bard.

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We have demonstrated, at a global level, the existence of spatial variation in the fungal and bacterial composition of different fruit tissues. The composition, diversity and abundance varied in fruit harvested in different geographical locations and suggests a potential link between location and the type and rate of postharvest diseases that develop in each country. The global core microbiome of apple fruit was determined and found to be represented by several beneficial microbial taxa and accounted for a large fraction of the fruit microbial community. To further characterize apple fruit the
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Pell, Eva J., Sarah M. Assmann, Amnon Schwartz, and Hava Steinberger. Ozone Altered Stomatal/Guard Cell Function: Whole Plant and Single Cell Analysis. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573082.bard.

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Original objectives (revisions from original proposal are highlighted) 1. Elucidate the direct effects O3 and H2O2 on guard cell function, utilizing assays of stomatal response in isolated epidermal peels and whole cell gas exchange. 2. Determine the mechanistic basis of O3 and H2O2 effects on the plasma membrane through application of the electrophysiological technique of patch clamping to isolated guard cells. 3. Determine the relative sensitivity of Israeli cultivars of economically important crops to O3 and determine whether differential leaf conductance responses to O3 can explain relativ
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Or, Etti, David Galbraith, and Anne Fennell. Exploring mechanisms involved in grape bud dormancy: Large-scale analysis of expression reprogramming following controlled dormancy induction and dormancy release. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7587232.bard.

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The timing of dormancy induction and release is very important to the economic production of table grape. Advances in manipulation of dormancy induction and dormancy release are dependent on the establishment of a comprehensive understanding of biological mechanisms involved in bud dormancy. To gain insight into these mechanisms we initiated the research that had two main objectives: A. Analyzing the expression profiles of large subsets of genes, following controlled dormancy induction and dormancy release, and assessing the role of known metabolic pathways, known regulatory genes and novel se
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Blumwald, Eduardo, and Avi Sadka. Citric acid metabolism and mobilization in citrus fruit. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7587732.bard.

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Accumulation of citric acid is a major determinant of maturity and fruit quality in citrus. Many citrus varieties accumulate citric acid in concentrations that exceed market desires, reducing grower income and consumer satisfaction. Citrate is accumulated in the vacuole of the juice sac cell, a process that requires both metabolic changes and transport across cellular membranes, in particular, the mitochondrial and the vacuolar (tonoplast) membranes. Although the accumulation of citrate in the vacuoles of juice cells has been clearly demonstrated, the mechanisms for vacuolar citrate homeostasi
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Galili, Gad, Harry J. Klee, and Asaph Aharoni. Elucidating the impact of enhanced conversion of primary to secondary metabolism on phenylpropanoids secondary metabolites associated with flavor, aroma and health in tomato fruits. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597920.bard.

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• Targeted manipulating Phenylalanine (Phe) synthesis is one of the most powerful strategies to boost the biologically and economically important secondary metabolites, including phenylpropaniods, aromatic volatiles and specialized secondary metabolites. • Over-expression of the petunia MYB transcript factor, ODORANT1 (ODO1), results in significant alterations of the levels of specific phenylpropanoid compounds in plants. • Our previous studies indicated that ectopic expression of the feedback-insensitive AroG could break the bottleneck between primary and secondary metabolisms in tomato, ther
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yu, luyou, jinping yang, xi meng, and yanhua lin. Effectiveness of the gut microbiota-bile acid pathway (BAS) in the treatment of Type 2 diabetes: A protocol for systematic review and meta analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.7.0117.

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Review question / Objective: To systematically evaluate the efficacy of the intestinal microbiome - bile acid pathway (BAS) in the treatment of T2DM. Condition being studied: Bile acids (BAs), an important component of bile, are also metabolites derived from cholesterol and promote intestinal absorption and transportation of dietary lipids . Studies have shown that bile acid receptor agonists can promote glP-1 secretion and improve glucose metabolism in preclinical mouse models of obesity and insulin resistance , which may become a new therapeutic target for Type 2 diabetes. However, no system
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Zhou, Min, Qinghua Wang, Xinyi Lu, et al. Exhaled breath and urinary volatile organic compounds (VOCs) for cancer diagnoses, and microbial-related VOC metabolic pathway analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.8.0061.

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