Stefan Schuster - Publications

Affiliations: 
Jena Centre for Bioinformatics Friedrich-Schiller-University Jena, Jena, Thüringen, Germany 
Website:
http://pinguin.biologie.uni-jena.de/bioinformatik/en/

104 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Garde R, Ibrahim B, Kovács ÁT, Schuster S. Differential equation-based minimal model describing metabolic oscillations in biofilms. Royal Society Open Science. 7: 190810. PMID 32257302 DOI: 10.1098/Rsos.190810  0.337
2020 Garde R, Ibrahim B, Schuster S. Extending the minimal model of metabolic oscillations in Bacillus subtilis biofilms. Scientific Reports. 10: 5579. PMID 32221356 DOI: 10.1038/S41598-020-62526-6  0.317
2018 Peres S, Schuster S, Dague P. Thermodynamic constraints for identifying elementary flux modes. Biochemical Society Transactions. PMID 29743275 DOI: 10.1042/Bst20170260  0.399
2018 Möller P, Liu X, Schuster S, Boley D. Linear programming model can explain respiration of fermentation products. Plos One. 13: e0191803. PMID 29415045 DOI: 10.1371/Journal.Pone.0191803  0.318
2017 Klamt S, Regensburger G, Gerstl MP, Jungreuthmayer C, Schuster S, Mahadevan R, Zanghellini J, Müller S. From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints. Plos Computational Biology. 13: e1005409. PMID 28406903 DOI: 10.1371/Journal.Pcbi.1005409  0.413
2017 Peres S, Jolicœur M, Moulin C, Dague P, Schuster S. How important is thermodynamics for identifying elementary flux modes? Plos One. 12: e0171440. PMID 28222104 DOI: 10.1371/Journal.Pone.0171440  0.369
2016 Germerodt S, Bohl K, Lück A, Pande S, Schröter A, Kaleta C, Schuster S, Kost C. Pervasive Selection for Cooperative Cross-Feeding in Bacterial Communities. Plos Computational Biology. 12: e1004986. PMID 27314840 DOI: 10.1371/Journal.Pcbi.1004986  0.319
2016 Gebauer J, Gentsch C, Mansfeld J, Schmeißer K, Waschina S, Brandes S, Klimmasch L, Zamboni N, Zarse K, Schuster S, Ristow M, Schäuble S, Kaleta C. A Genome-Scale Database and Reconstruction of Caenorhabditis elegans Metabolism. Cell Systems. PMID 27211858 DOI: 10.1016/J.Cels.2016.04.017  0.391
2015 Schuster S, Boley D, Möller P, Stark H, Kaleta C. Mathematical models for explaining the Warburg effect: a review focussed on ATP and biomass production. Biochemical Society Transactions. 43: 1187-94. PMID 26614659 DOI: 10.1042/Bst20150153  0.328
2015 Bartl M, Pfaff M, Ghallab A, Driesch D, Henkel SG, Hengstler JG, Schuster S, Kaleta C, Gebhardt R, Zellmer S, Li P. Optimality in the zonation of ammonia detoxification in rodent liver. Archives of Toxicology. PMID 26438405 DOI: 10.1007/S00204-015-1596-4  0.31
2015 Prauße MT, Schäuble S, Guthke R, Schuster S. Computing the various pathways of penicillin synthesis and their molar yields. Biotechnology and Bioengineering. PMID 26134880 DOI: 10.1002/Bit.25694  0.343
2015 Schleicher J, Tokarski C, Marbach E, Matz-Soja M, Zellmer S, Gebhardt R, Schuster S. Zonation of hepatic fatty acid metabolism - The diversity of its regulation and the benefit of modeling. Biochimica Et Biophysica Acta. 1851: 641-656. PMID 25677822 DOI: 10.1016/J.Bbalip.2015.02.004  0.364
2015 Schuster S, Boley D, Möller P, Kaleta C. A minimal model for explaining the higher ATP production in the Warburg effect Peerj. 3. DOI: 10.7287/Peerj.Preprints.1309V1  0.321
2014 Hummert S, Bohl K, Basanta D, Deutsch A, Werner S, Theissen G, Schroeter A, Schuster S. Evolutionary game theory: cells as players. Molecular Biosystems. 10: 3044-65. PMID 25270362 DOI: 10.1039/C3Mb70602H  0.309
2014 Bohl K, Hummert S, Werner S, Basanta D, Deutsch A, Schuster S, Theissen G, Schroeter A. Evolutionary game theory: molecules as players. Molecular Biosystems. 10: 3066-74. PMID 25248454 DOI: 10.1039/C3Mb70601J  0.313
2014 Pande S, Merker H, Bohl K, Reichelt M, Schuster S, de Figueiredo LF, Kaleta C, Kost C. Fitness and stability of obligate cross-feeding interactions that emerge upon gene loss in bacteria. The Isme Journal. 8: 953-62. PMID 24285359 DOI: 10.1038/Ismej.2013.211  0.334
2014 Deichmann U, Schuster S, Mazat JP, Cornish-Bowden A. Commemorating the 1913 Michaelis-Menten paper Die Kinetik der Invertinwirkung: three perspectives. The Febs Journal. 281: 435-63. PMID 24180270 DOI: 10.1111/Febs.12598  0.306
2013 Stavrum AK, Heiland I, Schuster S, Puntervoll P, Ziegler M. Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data. The Journal of Biological Chemistry. 288: 34555-66. PMID 24129579 DOI: 10.1074/Jbc.M113.474908  0.392
2013 Bartl M, Kötzing M, Schuster S, Li P, Kaleta C. Dynamic optimization identifies optimal programmes for pathway regulation in prokaryotes. Nature Communications. 4: 2243. PMID 23979724 DOI: 10.1038/Ncomms3243  0.363
2013 Schäuble S, Stavrum AK, Puntervoll P, Schuster S, Heiland I. Effect of substrate competition in kinetic models of metabolic networks. Febs Letters. 587: 2818-24. PMID 23811082 DOI: 10.1016/J.Febslet.2013.06.025  0.4
2013 Rezola A, Pey J, de Figueiredo LF, Podhorski A, Schuster S, Rubio A, Planes FJ. Selection of human tissue-specific elementary flux modes using gene expression data. Bioinformatics (Oxford, England). 29: 2009-16. PMID 23742984 DOI: 10.1093/Bioinformatics/Btt328  0.413
2012 Krüger B, Liang C, Prell F, Fieselmann A, Moya A, Schuster S, Völker U, Dandekar T. Metabolic adaptation and protein complexes in prokaryotes. Metabolites. 2: 940-58. PMID 24957769 DOI: 10.3390/Metabo2040940  0.363
2012 Werner S, Schroeter A, Schimek C, Vlaic S, Wostemeyer J, Schuster S. Model of the synthesis of trisporic acid in Mucorales showing bistability. Iet Systems Biology. 6: 207-214. PMID 23560325 DOI: 10.1049/Iet-Syb.2011.0056  0.315
2012 Gebauer J, Schuster S, de Figueiredo LF, Kaleta C. Detecting and investigating substrate cycles in a genome-scale human metabolic network. The Febs Journal. 279: 3192-202. PMID 22776428 DOI: 10.1111/J.1742-4658.2012.08700.X  0.373
2012 Gossmann TI, Ziegler M, Puntervoll P, de Figueiredo LF, Schuster S, Heiland I. NAD(+) biosynthesis and salvage--a phylogenetic perspective. The Febs Journal. 279: 3355-63. PMID 22404877 DOI: 10.1111/J.1742-4658.2012.08559.X  0.351
2012 Behre J, de Figueiredo LF, Schuster S, Kaleta C. Detecting structural invariants in biological reaction networks. Methods in Molecular Biology (Clifton, N.J.). 804: 377-407. PMID 22144164 DOI: 10.1007/978-1-61779-361-5_20  0.405
2011 Göhler AK, Kökpinar Ö, Schmidt-Heck W, Geffers R, Guthke R, Rinas U, Schuster S, Jahreis K, Kaleta C. More than just a metabolic regulator--elucidation and validation of new targets of PdhR in Escherichia coli. Bmc Systems Biology. 5: 197. PMID 22168595 DOI: 10.1186/1752-0509-5-197  0.386
2011 Hinze T, Schumann M, Bodenstein C, Heiland I, Schuster S. Biochemical frequency control by synchronisation of coupled repressilators: an in silico study of modules for circadian clock systems. Computational Intelligence and Neuroscience. 2011: 262189. PMID 22046179 DOI: 10.1155/2011/262189  0.31
2011 Schäuble S, Schuster S, Kaleta C. Hands-on metabolism analysis of complex biochemical networks using elementary flux modes. Methods in Enzymology. 500: 437-56. PMID 21943910 DOI: 10.1016/B978-0-12-385118-5.00022-0  0.398
2011 Schäuble S, Heiland I, Voytsekh O, Mittag M, Schuster S. Predicting the physiological role of circadian metabolic regulation in the green alga Chlamydomonas reinhardtii. Plos One. 6: e23026. PMID 21887226 DOI: 10.1371/Journal.Pone.0023026  0.401
2011 Kaleta C, de Figueiredo LF, Werner S, Guthke R, Ristow M, Schuster S. In silico evidence for gluconeogenesis from fatty acids in humans. Plos Computational Biology. 7: e1002116. PMID 21814506 DOI: 10.1371/Journal.Pcbi.1002116  0.346
2011 Wessely F, Bartl M, Guthke R, Li P, Schuster S, Kaleta C. Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs. Molecular Systems Biology. 7: 515. PMID 21772263 DOI: 10.1038/Msb.2011.46  0.386
2011 de Figueiredo LF, Gossmann TI, Ziegler M, Schuster S. Pathway analysis of NAD+ metabolism. The Biochemical Journal. 439: 341-8. PMID 21729004 DOI: 10.1042/Bj20110320  0.403
2011 Schuster S, de Figueiredo LF, Schroeter A, Kaleta C. Combining metabolic pathway analysis with Evolutionary Game Theory: explaining the occurrence of low-yield pathways by an analytic optimization approach. Bio Systems. 105: 147-53. PMID 21620931 DOI: 10.1016/J.Biosystems.2011.05.007  0.402
2011 Kaleta C, de Figueiredo LF, Heiland I, Klamt S, Schuster S. Special issue: integration of OMICs datasets into metabolic pathway analysis. Bio Systems. 105: 107-8. PMID 21619911 DOI: 10.1016/J.Biosystems.2011.05.008  0.358
2011 Beuster G, Zarse K, Kaleta C, Thierbach R, Kiehntopf M, Steinberg P, Schuster S, Ristow M. Inhibition of alanine aminotransferase in silico and in vivo promotes mitochondrial metabolism to impair malignant growth. The Journal of Biological Chemistry. 286: 22323-30. PMID 21540181 DOI: 10.1074/Jbc.M110.205229  0.302
2011 Elhanati Y, Schuster S, Brenner N. Dynamic modeling of cooperative protein secretion in microorganism populations. Theoretical Population Biology. 80: 49-63. PMID 21510966 DOI: 10.1016/J.Tpb.2011.03.005  0.311
2011 Rezola A, Figueiredo LFd, Brock M, Pey J, Podhorski A, Wittmann C, Schuster S, Bockmayr A, Planes FJ. Exploring metabolic pathways in genome-scale networks via generating flux modes Bioinformatics. 27: 534-540. PMID 21149278 DOI: 10.1093/Bioinformatics/Btq681  0.415
2010 Bortfeldt RH, Schuster S, Koch I. Exhaustive analysis of the modular structure of the spliceosomal assembly network: a Petri net approach. In Silico Biology. 10: 89-123. PMID 22430224 DOI: 10.3233/Isb-2010-0419  0.345
2010 Werner S, Diekert G, Schuster S. Revisiting the thermodynamic theory of optimal ATP stoichiometries by analysis of various ATP-producing metabolic pathways. Journal of Molecular Evolution. 71: 346-55. PMID 20922363 DOI: 10.1007/S00239-010-9389-0  0.363
2010 Schuster S, de Figueiredo LF, Kaleta C. Predicting novel pathways in genome-scale metabolic networks. Biochemical Society Transactions. 38: 1202-5. PMID 20863284 DOI: 10.1042/Bst0381202  0.423
2010 Kaleta C, Göhler A, Schuster S, Jahreis K, Guthke R, Nikolajewa S. Integrative inference of gene-regulatory networks in Escherichia coli using information theoretic concepts and sequence analysis. Bmc Systems Biology. 4: 116. PMID 20718955 DOI: 10.1186/1752-0509-4-116  0.317
2010 Ruppin E, Papin JA, de Figueiredo LF, Schuster S. Metabolic reconstruction, constraint-based analysis and game theory to probe genome-scale metabolic networks. Current Opinion in Biotechnology. 21: 502-10. PMID 20692823 DOI: 10.1016/J.Copbio.2010.07.002  0.394
2010 Schuster S, Kreft JU, Brenner N, Wessely F, Theissen G, Ruppin E, Schroeter A. Cooperation and cheating in microbial exoenzyme production--theoretical analysis for biotechnological applications. Biotechnology Journal. 5: 751-8. PMID 20540107 DOI: 10.1002/Biot.200900303  0.306
2010 Bartl M, Li P, Schuster S. Modelling the optimal timing in metabolic pathway activation-use of Pontryagin's Maximum Principle and role of the Golden section. Bio Systems. 101: 67-77. PMID 20420882 DOI: 10.1016/J.Biosystems.2010.04.007  0.363
2010 Kenanov D, Kaleta C, Petzold A, Hoischen C, Diekmann S, Siddiqui RA, Schuster S. Theoretical study of lipid biosynthesis in wild-type Escherichia coli and in a protoplast-type L-form using elementary flux mode analysis. The Febs Journal. 277: 1023-34. PMID 20088879 DOI: 10.1111/J.1742-4658.2009.07546.X  0.3
2009 de Figueiredo LF, Podhorski A, Rubio A, Kaleta C, Beasley JE, Schuster S, Planes FJ. Computing the shortest elementary flux modes in genome-scale metabolic networks. Bioinformatics (Oxford, England). 25: 3158-65. PMID 19793869 DOI: 10.1093/Bioinformatics/Btp564  0.369
2009 Kaleta C, de Figueiredo LF, Schuster S. Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns. Genome Research. 19: 1872-83. PMID 19541909 DOI: 10.1101/Gr.090639.108  0.423
2009 Behre J, Schuster S. Modeling signal transduction in enzyme cascades with the concept of elementary flux modes. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 16: 829-44. PMID 19522666 DOI: 10.1089/Cmb.2008.0177  0.376
2009 de Figueiredo LF, Schuster S, Kaleta C, Fell DA. Can sugars be produced from fatty acids? A test case for pathway analysis tools. Bioinformatics (Oxford, England). 25: 152-8. PMID 19117076  0.318
2009 Kielbassa J, Bortfeldt R, Schuster S, Koch I. Modeling of the U1 snRNP assembly pathway in alternative splicing in human cells using Petri nets Computational Biology and Chemistry. 33: 46-61. PMID 18775676 DOI: 10.1016/J.Compbiolchem.2008.07.022  0.362
2008 Schuster S, Kreft JU, Schroeter A, Pfeiffer T. Use of game-theoretical methods in biochemistry and biophysics. Journal of Biological Physics. 34: 1-17. PMID 19669489 DOI: 10.1007/S10867-008-9101-4  0.332
2008 de Figueiredo LF, Schuster S, Kaleta C, Fell DA. Can sugars be produced from fatty acids? A test case for pathway analysis tools. Bioinformatics (Oxford, England). 24: 2615-21. PMID 18806269 DOI: 10.1093/Bioinformatics/Btn500  0.427
2008 Deutscher D, Meilijson I, Schuster S, Ruppin E. Can single knockouts accurately single out gene functions? Bmc Systems Biology. 2: 50. PMID 18564419 DOI: 10.1186/1752-0509-2-50  0.367
2008 Schuster S, Pfeiffer T, Fell DA. Is maximization of molar yield in metabolic networks favoured by evolution? Journal of Theoretical Biology. 252: 497-504. PMID 18249414 DOI: 10.1016/J.Jtbi.2007.12.008  0.415
2008 Knoke B, Marhl M, Perc M, Schuster S. Equality of average and steady-state levels in some nonlinear models of biological oscillations. Theory in Biosciences = Theorie in Den Biowissenschaften. 127: 1-14. PMID 18197448 DOI: 10.1007/S12064-007-0018-4  0.31
2008 Behre J, Wilhelm T, von Kamp A, Ruppin E, Schuster S. Structural robustness of metabolic networks with respect to multiple knockouts. Journal of Theoretical Biology. 252: 433-41. PMID 18023456 DOI: 10.1016/J.Jtbi.2007.09.043  0.4
2007 Schwarz R, Liang C, Kaleta C, Kühnel M, Hoffmann E, Kuznetsov S, Hecker M, Griffiths G, Schuster S, Dandekar T. Integrated network reconstruction, visualization and analysis using YANAsquare. Bmc Bioinformatics. 8: 313. PMID 17725829 DOI: 10.1186/1471-2105-8-313  0.355
2007 Pachkov M, Dandekar T, Korbel J, Bork P, Schuster S. Use of pathway analysis and genome context methods for functional genomics of Mycoplasma pneumoniae nucleotide metabolism. Gene. 396: 215-25. PMID 17467928 DOI: 10.1016/J.Gene.2007.02.033  0.523
2007 Neumann G, Schuster S. Continuous model for the rock-scissors-paper game between bacteriocin producing bacteria. Journal of Mathematical Biology. 54: 815-46. PMID 17457587 DOI: 10.1007/S00285-006-0065-3  0.306
2007 Schuster S, von Kamp A, Pachkov M. Understanding the roadmap of metabolism by pathway analysis. Methods in Molecular Biology (Clifton, N.J.). 358: 199-226. PMID 17035688 DOI: 10.1007/978-1-59745-244-1_12  0.428
2007 Neumann G, Schuster S. Modeling the Rock - Scissors - Paper game between bacteriocin producing bacteria by Lotka-Volterra equations Discrete and Continuous Dynamical Systems - Series B. 8: 207-228. DOI: 10.3934/Dcdsb.2007.8.207  0.307
2006 von Kamp A, Schuster S. Metatool 5.0: fast and flexible elementary modes analysis. Bioinformatics (Oxford, England). 22: 1930-1. PMID 16731697 DOI: 10.1093/Bioinformatics/Btl267  0.326
2005 Schuster S, Kenanov D. Adenine and adenosine salvage pathways in erythrocytes and the role of S-adenosylhomocysteine hydrolase. A theoretical study using elementary flux modes. The Febs Journal. 272: 5278-90. PMID 16218958 DOI: 10.1111/J.1742-4658.2005.04924.X  0.35
2005 Schwarz R, Musch P, von Kamp A, Engels B, Schirmer H, Schuster S, Dandekar T. YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities. Bmc Bioinformatics. 6: 135. PMID 15929789 DOI: 10.1186/1471-2105-6-135  0.386
2005 Pfeiffer T, Schuster S. Game-theoretical approaches to studying the evolution of biochemical systems Trends in Biochemical Sciences. 30: 20-25. PMID 15653322 DOI: 10.1016/J.Tibs.2004.11.006  0.304
2005 Zevedei-Oancea I, Schuster S. A theoretical framework for detecting signal transfer routes in signalling networks Computers and Chemical Engineering. 29: 597-617. DOI: 10.1016/J.Compchemeng.2004.08.026  0.319
2004 Liebermeister W, Klipp E, Schuster S, Heinrich R. A theory of optimal differential gene expression. Bio Systems. 76: 261-78. PMID 15351149 DOI: 10.1016/J.Biosystems.2004.05.022  0.311
2004 Papin JA, Stelling J, Price ND, Klamt S, Schuster S, Palsson BO. Comparison of network-based pathway analysis methods. Trends in Biotechnology. 22: 400-5. PMID 15283984 DOI: 10.1016/J.Tibtech.2004.06.010  0.375
2003 Dandekar T, Moldenhauer F, Bulik S, Bertram H, Schuster S. A method for classifying metabolites in topological pathway analyses based on minimization of pathway number Biosystems. 70: 255-270. PMID 12941488 DOI: 10.1016/S0303-2647(03)00067-4  0.305
2003 Frick T, Schuster S. An example of the prisoner's dilemma in biochemistry Naturwissenschaften. 90: 327-331. PMID 12883777 DOI: 10.1007/S00114-003-0434-3  0.32
2002 Stelling J, Klamt S, Bettenbrock K, Schuster S, Gilles ED. Metabolic network structure determines key aspects of functionality and regulation Nature. 420: 190-193. PMID 12432396 DOI: 10.1038/Nature01166  0.384
2002 Klamt S, Schuster S. Calculating as many fluxes as possible in underdetermined metabolic networks. Molecular Biology Reports. 29: 243-8. PMID 12241065 DOI: 10.1023/A:1020394300385  0.356
2002 Schuster S, Zevedei-Oancea I. Treatment of multifunctional enzymes in metabolic pathway analysis Biophysical Chemistry. 99: 63-75. PMID 12223240 DOI: 10.1016/S0301-4622(02)00122-9  0.367
2002 Schuster S, Hilgetag C, Woods JH, Fell DA. Reaction routes in biochemical reaction systems: algebraic properties, validated calculation procedure and example from nucleotide metabolism. Journal of Mathematical Biology. 45: 153-81. PMID 12181603 DOI: 10.1007/S002850200143  0.355
2002 Schuster S, Pfeiffer T, Moldenhauer F, Koch I, Dandekar T. Exploring the pathway structure of metabolism: Decomposition into subnetworks and application to Mycoplasma pneumoniae Bioinformatics. 18: 351-361. PMID 11847093 DOI: 10.1093/Bioinformatics/18.2.351  0.392
2002 Klamt S, Schuster S, Gilles ED. Calculability analysis in underdetermined metabolic networks illustrated by a model of the central metabolism in purple nonsulfur bacteria Biotechnology and Bioengineering. 77: 734-751. PMID 11835134 DOI: 10.1002/Bit.10153  0.408
2002 Schuster S, Klamt S. Applying metabolic pathway analysis to make good use of methanol Trends in Biotechnology. 20: 322. DOI: 10.1016/S0167-7799(02)02026-7  0.427
2001 Schuster S. Flux determination by isotopomer balancing--a successful application of theory to experiment. Trends in Biotechnology. 19: 85. PMID 11179783 DOI: 10.1016/S0167-7799(01)01573-6  0.346
2001 Schuster S. What can silent mutations tell us? Trends in Biotechnology. 19: 242. DOI: 10.1016/S0167-7799(01)01695-X  0.339
2000 Schuster S. Breeding of Escherichia coli based on colour Trends in Biotechnology. 18: 442. PMID 11058783 DOI: 10.1016/S0167-7799(00)01502-X  0.344
2000 Schuster S, Kholodenko BN, Westerhoff HV. Cellular information transfer regarded from a stoichiometry and control analysis perspective Biosystems. 55: 73-81. PMID 10745111 DOI: 10.1016/S0303-2647(99)00085-4  0.347
2000 Schuster S, Fell DA, Dandekar T. A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks. Nature Biotechnology. 18: 326-32. PMID 10700151 DOI: 10.1038/73786  0.42
2000 Schuster S. Biotechnology in silico: Metabolic proteomics of Haemophilus influenzae Trends in Biotechnology. 18: 328. DOI: 10.1016/S0167-7799(00)01484-0  0.31
1999 Dandekar T, Schuster S, Snel B, Huynen M, Bork P. Pathway alignment: application to the comparative analysis of glycolytic enzymes. The Biochemical Journal. 343: 115-24. PMID 10493919 DOI: 10.1042/Bj3430115  0.506
1999 Schilling CH, Schuster S, Palsson BO, Heinrich R. Metabolic pathway analysis: basic concepts and scientific applications in the post-genomic era. Biotechnology Progress. 15: 296-303. PMID 10356246 DOI: 10.1021/Bp990048K  0.406
1999 Schuster S, Westerhoff HV. Modular control analysis of slipping enzymes. Bio Systems. 49: 1-15. PMID 10091969 DOI: 10.1016/S0303-2647(98)00028-8  0.334
1999 Schuster S, Dandekar T, Fell DA. Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. Trends in Biotechnology. 17: 53-60. PMID 10087604 DOI: 10.1016/S0167-7799(98)01290-6  0.404
1998 Heinrich R, Schuster S. The modelling of metabolic systems. Structure, control and optimality Biosystems. 47: 61-77. PMID 9715751 DOI: 10.1016/S0303-2647(98)00013-6  0.417
1998 Kholodenko BN, Schuster S, Garcia J, Westerhoff HV, Cascante M. Control analysis of metabolic systems involving quasi-equilibrium reactions Biochimica Et Biophysica Acta - General Subjects. 1379: 337-352. PMID 9545597 DOI: 10.1016/S0304-4165(97)00114-1  0.344
1996 Schuster S. Control Analysis in Terms of Generalized Variables Characterizing Metabolic Systems Journal of Theoretical Biology. 182: 259-268. PMID 8944157 DOI: 10.1006/Jtbi.1996.0163  0.335
1996 Rohwer JM, Schuster S, Westerhoff HV. How to recognize monofunctional units in a metabolic system. Journal of Theoretical Biology. 179: 213-28. PMID 8762334 DOI: 10.1006/Jtbi.1996.0062  0.388
1995 Kholodenko BN, Schuster S, Rohwer JM, Cascante M, Westerhoff HV. Composite control of cell function: metabolic pathways behaving as single control units Febs Letters. 368: 1-4. PMID 7615057 DOI: 10.1016/0014-5793(95)00562-N  0.381
1995 SCHUSTER S, KAHN D, WESTERHOFF HV. CONTROL ANALYSIS OF METABOLIC SYSTEMS CONSISTING OF UNI- AND/OR MULTIFUNCTIONAL UNITS: APPLICATION TO MODULAR SYSTEMS AND SLIPPING ENZYMES Journal of Biological Systems. 3: 217-230. DOI: 10.1142/S0218339095000216  0.384
1995 Kholodenko BN, Molenaar D, Schuster S, Heinrich R, Westerhoff HV. Defining control coefficients in non-ideal metabolic pathways Biophysical Chemistry. 56: 215-226. DOI: 10.1016/0301-4622(95)00039-Z  0.348
1994 Schuster S, Kahn D, Westerhoff HV. Modular analysis of the control of complex metabolic pathways. Biophysical Chemistry. 48: 1-17. PMID 8257764 DOI: 10.1016/0301-4622(93)80037-J  0.349
1994 Schuster S, Hlgetag C, Biologic F. On Elementary Flux Modes In Biochemical Reaction Systems At Steady State Journal of Biological Systems. 2: 165-182. DOI: 10.1142/S0218339094000131  0.324
1993 Schuster R, Schuster S. Refined algorithm and computer program for calculating all non-negative fluxes admissible in steady states of biochemical reaction systems with or without some flux rates fixed Bioinformatics. 9: 79-85. PMID 8435772 DOI: 10.1093/Bioinformatics/9.1.79  0.306
1992 Schuster R, Schuster S, Holzhütter HG. Simplification of complex kinetic models used for the quantitative analysis of nuclear magnetic resonance or radioactive tracer studies Journal of the Chemical Society, Faraday Transactions. 88: 2837-2844. DOI: 10.1039/Ft9928802837  0.322
1991 Heinrich R, Schuster S, Holzhütter H. Mathematical analysis of enzymic reaction systems using optimization principles. Febs Journal. 201: 1-21. PMID 1915354 DOI: 10.1111/J.1432-1033.1991.Tb16251.X  0.407
1991 Schuster S, Schuster R, Heinrich R. Minimization of intermediate concentrations as a suggested optimality principle for biochemical networks: II. Time hierarchy, enzymatic rate laws, and erythrocyte metabolism Journal of Mathematical Biology. 29: 443-455. PMID 1875162 DOI: 10.1007/Bf00160471  0.342
1991 Schuster S, Schuster R. Detecting strictly detailed balanced subnetworks in open chemical reaction networks Journal of Mathematical Chemistry. 6: 17-40. DOI: 10.1007/Bf01192571  0.302
1989 Schuster S, Schuster R. A generalization of Wegscheider's condition. Implications for properties of steady states and for quasi-steady-state approximation Journal of Mathematical Chemistry. 3: 25-42. DOI: 10.1007/Bf01171883  0.315
1988 Heinrich R, Holzhütter HG, Schuster S. A theoretical approach to the evolution and structural design of enzymatic networks: linear enzymatic chains, branched pathways and glycolysis of erythrocytes. Bulletin of Mathematical Biology. 49: 539-95. PMID 3435799 DOI: 10.1016/S0092-8240(87)90003-6  0.42
Show low-probability matches.