A constraint-based modelling approach to metabolic dysfunction in Parkinson's disease
暂无分享,去创建一个
Ronan M. T. Fleming | Longfei Mao | Averina Nicolae | M. A. Oliveira | F. He | S. Hachi | R. Fleming | Miguel A. P. Oliveira
[1] H Bratzke,et al. Neuropathological hallmarks of Alzheimer's and Parkinson's diseases. , 1998, Progress in brain research.
[2] D. Berg,et al. Brain iron pathways and their relevance to Parkinson's disease. , 2001, Journal of neurochemistry.
[3] E. Blaak,et al. Gender differences in fat metabolism , 2001, Current opinion in clinical nutrition and metabolic care.
[4] H. Qian,et al. Energy balance for analysis of complex metabolic networks. , 2002, Biophysical journal.
[5] A. Burgard,et al. Optimization-based framework for inferring and testing hypothesized metabolic objective functions. , 2003, Biotechnology and bioengineering.
[6] Lorene M Nelson,et al. Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity. , 2003, American journal of epidemiology.
[7] M. Vila,et al. COX‐2 and Neurodegeneration in Parkinson's Disease , 2003, Annals of the New York Academy of Sciences.
[8] A. Messac,et al. The normalized normal constraint method for generating the Pareto frontier , 2003 .
[9] P. Karp,et al. Computational prediction of human metabolic pathways from the complete human genome , 2004, Genome Biology.
[10] L. Tretter,et al. Initiation of Neuronal Damage by Complex I Deficiency and Oxidative Stress in Parkinson's Disease , 2004, Neurochemical Research.
[11] J. Rinn,et al. Major molecular differences between mammalian sexes are involved in drug metabolism and renal function. , 2004, Developmental cell.
[12] P. Mcgeer,et al. Inflammation and neurodegeneration in Parkinson's disease. , 2004, Parkinsonism & related disorders.
[13] G. Wooten,et al. Are men at greater risk for Parkinson’s disease than women? , 2004, Journal of Neurology, Neurosurgery & Psychiatry.
[14] Rotterdam. Incidence of parkinsonism and Parkinson disease in a general population: The Rot terdam Study , 2005 .
[15] H. Qian,et al. Thermodynamics of stoichiometric biochemical networks in living systems far from equilibrium. , 2005, Biophysical chemistry.
[16] Ian R. Lanza,et al. Sex differences in glycolysis during brief, intense isometric contractions , 2005, Muscle & nerve.
[17] H. Qian,et al. Thermodynamic-based computational profiling of cellular regulatory control in hepatocyte metabolism. , 2005, American journal of physiology. Endocrinology and metabolism.
[18] H. Przuntek,et al. Parenteral application of NADH in Parkinson's disease: Clinical improvement partially due to stimulation of endogenous levodopa biosynthesis , 2005, Journal of Neural Transmission.
[19] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[20] M. Breteler,et al. Epidemiology of Parkinson's disease , 2006, The Lancet Neurology.
[21] B. Palsson. Systems Biology: Properties of Reconstructed Networks , 2006 .
[22] Bastiaan R Bloem,et al. Gender differences in Parkinson’s disease , 2006, Journal of Neurology, Neurosurgery & Psychiatry.
[23] T. Ichisaka,et al. Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors , 2007, Cell.
[24] W. Ying. NAD+ and NADH in brain functions, brain diseases and brain aging. , 2007, Frontiers in bioscience : a journal and virtual library.
[25] K. Ülgen,et al. Reconstruction and flux analysis of coupling between metabolic pathways of astrocytes and neurons: application to cerebral hypoxia , 2007, Theoretical Biology and Medical Modelling.
[26] E. Hirsch,et al. Neuroinflammation in Parkinson's disease: a target for neuroprotection? , 2009, The Lancet Neurology.
[27] M. Tansey,et al. Neuroinflammation in Parkinson’s Disease , 2009, Journal of Neuroimmune Pharmacology.
[28] Eberhard O Voit,et al. Computational analysis of determinants of dopamine (DA) dysfunction in DA nerve terminals , 2009, Synapse.
[29] SnapShot: Pathogenesis of Parkinson's Disease , 2009, Cell.
[30] B. Palsson,et al. A protocol for generating a high-quality genome-scale metabolic reconstruction , 2010 .
[31] P. Mali,et al. Efficient Generation of Functional Dopaminergic Neurons from Human Induced Pluripotent Stem Cells Under Defined Conditions , 2010, Stem cells.
[32] B. Palsson,et al. Large-scale in silico modeling of metabolic interactions between cell types in the human brain , 2010, Nature Biotechnology.
[33] Mathieu Cloutier,et al. An energy systems approach to Parkinson's disease , 2011, Wiley interdisciplinary reviews. Systems biology and medicine.
[34] Ronan M. T. Fleming,et al. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 , 2007, Nature Protocols.
[35] Antje Chang,et al. BRENDA, the enzyme information system in 2011 , 2010, Nucleic Acids Res..
[36] Ying Sun,et al. Gaucher Disease Glucocerebrosidase and α-Synuclein Form a Bidirectional Pathogenic Loop in Synucleinopathies , 2011, Cell.
[37] P. Wellstead,et al. Systems Biology of Parkinson's Disease , 2012, Springer New York.
[38] Allan R. Jones,et al. An anatomically comprehensive atlas of the adult human brain transcriptome , 2012, Nature.
[39] Ronan M. T. Fleming,et al. A variational principle for computing nonequilibrium fluxes and potentials in genome-scale biochemical networks. , 2011, Journal of theoretical biology.
[40] J. Silberg,et al. A transposase strategy for creating libraries of circularly permuted proteins , 2012, Nucleic acids research.
[41] R. McIntyre,et al. Crosstalk between metabolic and neuropsychiatric disorders , 2012, F1000 biology reports.
[42] P. Wellstead,et al. Dynamic modelling of protein and oxidative metabolisms simulates the pathogenesis of Parkinson's disease. , 2012, IET systems biology.
[43] The UniProt Consortium,et al. Reorganizing the protein space at the Universal Protein Resource (UniProt) , 2011, Nucleic Acids Res..
[44] Costas D. Maranas,et al. OptCom: A Multi-Level Optimization Framework for the Metabolic Modeling and Analysis of Microbial Communities , 2012, PLoS Comput. Biol..
[45] Feng Q. He,et al. The role of regulatory T cells in neurodegenerative diseases , 2013, Wiley interdisciplinary reviews. Systems biology and medicine.
[46] M. Schwartz,et al. How Do Immune Cells Support and Shape the Brain in Health, Disease, and Aging? , 2013, The Journal of Neuroscience.
[47] G. Donmez,et al. SIRT1 and SIRT2: emerging targets in neurodegeneration , 2013, EMBO molecular medicine.
[48] H. Shimizu,et al. Flux analysis and metabolomics for systematic metabolic engineering of microorganisms. , 2013, Biotechnology advances.
[49] D. Surmeier,et al. Neuronal vulnerability, pathogenesis, and Parkinson's disease , 2013, Movement disorders : official journal of the Movement Disorder Society.
[50] J. Paul Bolam,et al. The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease , 2013, Front. Comput. Neurosci..
[51] Andreas Zell,et al. Parkinson’s disease: dopaminergic nerve cell model is consistent with experimental finding of increased extracellular transport of α-synuclein , 2013, BMC Neuroscience.
[52] Y. Nolan,et al. Parkinson's disease in the nuclear age of neuroinflammation. , 2013, Trends in molecular medicine.
[53] E. Katunina,et al. [Epidemiology of Parkinson's disease]. , 2013, Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova.
[54] D. Surmeier,et al. Neuronal vulnerability, pathogenesis, and Parkinson's disease , 2013, Movement disorders : official journal of the Movement Disorder Society.
[55] Ronan M. T. Fleming,et al. A community-driven global reconstruction of human metabolism , 2013, Nature Biotechnology.
[56] José Castillo,et al. Equispaced Pareto front construction for constrained bi-objective optimization , 2013, Math. Comput. Model..
[57] C. Maranas,et al. Recent advances in the reconstruction of metabolic models and integration of omics data. , 2014, Current opinion in biotechnology.
[58] Nikos Vlassis,et al. Fast Reconstruction of Compact Context-Specific Metabolic Network Models , 2013, PLoS Comput. Biol..
[59] Zoran Nikoloski,et al. Generalized framework for context-specific metabolic model extraction methods , 2014, Front. Plant Sci..
[60] Costas D. Maranas,et al. k-OptForce: Integrating Kinetics with Flux Balance Analysis for Strain Design , 2014, PLoS Comput. Biol..
[61] Jennifer L Reed,et al. Software platforms to facilitate reconstructing genome-scale metabolic networks. , 2014, Environmental microbiology.
[62] Longfei Mao,et al. Computational comparison of mediated current generation capacity of Chlamydomonas reinhardtii in photosynthetic and respiratory growth modes. , 2014, Journal of bioscience and bioengineering.
[63] Susumu Goto,et al. Data, information, knowledge and principle: back to metabolism in KEGG , 2013, Nucleic Acids Res..
[64] Ronan M. T. Fleming,et al. Prediction of intracellular metabolic states from extracellular metabolomic data , 2014, Metabolomics.
[65] Wynand S. Verwoerd,et al. ORCA: a COBRA toolbox extension for model-driven discovery and analysis , 2014, Bioinform..
[66] K. Ülgen,et al. Systematic analysis of transcription-level effects of neurodegenerative diseases on human brain metabolism by a newly reconstructed brain-specific metabolic network , 2014, FEBS open bio.
[67] Longfei Mao,et al. Theoretical exploration of optimal metabolic flux distributions for extracellular electron transfer by Shewanella oneidensis MR-1 , 2014, Biotechnology for Biofuels.
[68] E. Pekkonen,et al. Gut microbiota are related to Parkinson's disease and clinical phenotype , 2015, Movement disorders : official journal of the Movement Disorder Society.
[69] H. Wood. Parkinson disease: Gut reactions—can changes in the intestinal microbiome provide new insights into Parkinson disease? , 2015, Nature Reviews Neurology.
[70] J. Schiemann,et al. Dopamine midbrain neurons in health and Parkinson’s disease: Emerging roles of voltage-gated calcium channels and ATP-sensitive potassium channels , 2015, Neuroscience.
[71] S. Cuzzocrea,et al. Inflammatory and cell death pathways in brain and peripheral blood in Parkinson's disease. , 2015, CNS & neurological disorders drug targets.