Publications
Books
(2009)
Systems Biology. A Textbook.
Wiley-Blackwell, Weinheim, 569 p., ISBN:
(2005)
Systems Biology in Practice: Concepts, Implementation and Application.
Wiley-VCH, Weinheim, 465 p., ISBN:

Book chapters
(2012)
Computational Modeling of Biochemical Processes and Cell Differentiation.
In: Stachowiak, M.K. & Tzankakis, E.S.
Stem Cells. From Mechanisms to Technologies.
World Scientific, ISBN: 978-981-4317-70-2.
(2011)
Strengths and weaknesses of selected modeling methods used in systems biology.
In: Yang, N.-S. (Ed.)
Systems and Computational Biology - Bioinformatics and Computational Modeling.
InTech Open Access Publischer, ISBN: 978-953-307-875-5.
(2011)
Computational yeast systems biology: a case study for the MAP kinase cascade.
In: Castrillo, J.I. & Oliver, S.G.
Yeast Systems Biology. Methods ans Protocols. Methods in Molecular Biology 759 (Part 3),
Humana Press, ISBN: 978-1-61779-172-7,
323-43.
doi: 10.1007/978-1-61779-173-4_19, PMID: 21863496
(2010)
Introduction to systems biology.
In: Tretter, F., Gebicke-Haerter, P., Mendoza, E.R. & Winterer, G. (eds.)
Systems Biology in Psychiatric Research. From High-Throughput Data to Mathematical Modeling.
Wiley-VCH, Weinheim, ISBN: 978-3-527-32503-0,
81-96.
(2008)
Modeling the dynamics of stress activated protein kinases (SAPK) in cellular stress response.
In: Posas, F. & Nebreda, A.R. (eds.)
SAPK - Stress-Activated Protein Kinases.
Book Series: Topics in Current Genetics 20,
Springer, Berlin, ISBN: 978-3-540-75568-7,
205-24.
doi:10.1007/4735_2007_0241
(2006)
Modelling of signal transduction in yeast - Sensitivity and model analysis.
In: Cánovas, M., Iborra, J.L. & Manjón, A. (eds.)
Understanding and Exploiting Systems Biology in Bioprocesses and Biomedicine.
Fundacion CajaMurcia, Murcia (Spain), ISBN: 84-611-1135-4,
15-30.
(2006)
The predictive power of molecular network modelling - case studies of predictions with subsequent experimental verification.
In: Eisenhaber, F. (Ed.)
Discovering Biomolecular Mechanisms with Computational Biology.
Landes Bioscience, Georgetown and Springer, New York, ISBN: 978-0-387-34527-7,
95-106.
(2005)
Modelling signalling pathways - a yeast approach.
In: Alberghina, L. & Westerhoff, H.V. (eds.)
Systems Biology. Definitions and Perspectives.
Book Series: Topics in Current Genetics 13,
Springer, Berlin, ISBN: 978-3-540-22968-X,
277-302.
doi:10.1007/b95175
(2003)
Cooperation and conflict in the evolution of genomes, cells, and multicellular organisms.
In: Hammerstein, P. (Ed.)
Genetic and Cultural Evolution of Cooperation.
MIT Press, Cambridge (USA), ISBN: 0-262-08326-4,
327-56.
(1998)
Relations between flux control coefficients and enzyme concentrations in states of minimized total amount of enzyme.
In: Larsson, C., Pahlman, I.L. & Gustafsson, L. (eds.)
Biothermokinetics in the Post Genomic Era.
University, Chalmers Reproservice, Göteborg, ISBN: 91-630-7048-0,
27-9.
(1996)
Maximization of enzyme activity under consideration of various constraints.
In: Ghista, D.N. (Ed.)
Biomedical and Life Physics.
Vieweg, Braunschweig, ISBN: 3-528-06877-9,
71-84.
(1996)
Kinetic optimization of multienzyme systems.
In: Westerhoff, H.V., Snoep, J.L., Sluse, F.E., Wijker, J.E. & Kholodenko, B.N. (eds.)
Biothermokinetics of the Living Cell.
Biothermokinetic Press, Amsterdam, ISBN: 90-803184-1-8,
210-13.
(1994)
Evolutionary optimization of enzyme on the basis of kinetic and thermodynamic principles.
In: Gnaiger, E., Gellerich, F.N. & Wyss, M. (eds.)
What is Controlling Life? 50 Years after Erwin Schroedinger's What is Life?
Insbruck University Press, ISBN: 3-901249-17-6,
99-102.
Journal articles
2013
(2013)
biographer: web based editing and rendering of SBGN compliant biochemical networks
Bioinform.
29
(11),
1467-8.
doi: 10.1093/bioinformatics/btt159, PMID: 23574737
(2013)
Modeling yeast osmoadaptation at different levels of resolution.
J. Bioinform. Comput. Biol.
11
(2),
1330001.
doi: 10.1142/S0219720013300013, PMID: 23600818
(2013)
Quantitative analysis of glycerol accumulation, glycolysis and growth under hyper osmotic stress
PLoS Comput. Biol.
9
(6),
e1003084.
doi: 10.1371/journal.pcbi.1003084, PMID: 23762021
(2013)
Information content and scalability in signal transduction network reconstruction formats.
Mol. Biosyst.
2013.
doi: 10.1039/C3MB00005B, PMID: 23636168
(2013)
Dissecting the energy metabolism in Mycoplasma pneumoniae through genome-scale metabolic modeling
Mol. Syst. Biol.
9
653.
doi:10.1038/msb.2013.6, PMID: 23549481
2012
(2012)
Molecular systems biology of Sic1 in yeast cell cycle regulation through multiscale modeling
Adv. Exp. Med. Biol.
736
, 135-67.
doi: 10.1007/978-1-4419-7210-1_7, PMID: 22161326
(2012)
Sic1 as a timer of Clb cyclin waves in the yeast cell cycle - design principle of not just an inhibitor.
FEBS J.
279
(18),
, 3386-410.
doi: 10.1111/j.1742-4658.2012.08542.x, PMID: 22356687
(2012)
Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism.
Science
335
(6072),
1099-103.
doi: 10.1126/science.1206871, PMID: 22383848
(2012)
A stochastic model of epigenetic dynamics in somatic cell reprogramming
Front. Comput. Physiol. Med.
3
, 216.
doi: 10.3389/fphys.2012.00216, PMID: 22754535
(2012)
Systems Biology and Bioinformatics in Aging Research: A Workshop Report.
Rejuvenation Research
15
(6),
631-41.
doi:10.1089/rej.2012.1360, PMID: 22950424
(2012)
Time course gene expression profiling of yeast spore germination reveals a network of transcription factors orchestrating
the global response.
BMC Genomics
13
(1),
, 554.
PMID: 23066959
(2012)
Cell-to-cell communication circuits: quantitative analysis of synthetic logic gates.
Front Physiol.
3
, 287.
PMID: 22934039
(2012)
The free-radical theory of ageing--older, wiser and still alive: modelling positional effects of the primary targets of ROS reveals new support.
Bioessays
34
(8),
692-700.
doi: 10.1002/bies.201200014, PMID: 22641614
(2012)
A systems biological analysis links ROS metabolism to mitochondrial protein quality control.
Mech. Ageing Dev.
133
(5),
331-7.
doi: 10.1016/j.mad.2012.03.008, PMID: 22449407
(2012)
Zooming in on yeast osmoadaptation.
Adv. Exp. Med. Biol.
736
, 293-310.
doi: 10.1007/978-1-4419-7210-1_17, PMID: 22161336
(2012)
Fungal Hsp90: a biological transistor that tunes cellular outputs to thermal inputs.
Nat. Rev. Microbiol.
10
(10),
693-704.
doi: 10.1038/nrmicro2875, PMID: 22976491
(2012)
Modelling the Regulation of Thermal Adaptation in Candida albicans, a Major Fungal Pathogen of Humans.
PLoS One
7
(3),
e32467.
doi: 10.1371/journal.pone.0032467, PMID: 22448221
(2012)
Condition-dependent transcriptome reveals high-level regulatory architecture in Bacillus subtilis.
Science
335
(6072),
1103-6.
doi: 10.1126/science.1206848, PMID: 22383849
(2012)
Onset of immune senescence defined by unbiased pyrosequencing of human immunoglobulin mRNA repertoires.
PLoS One
7
(11),
e49774.
doi: 10.1371/journal.pone.0049774, PMID: 23226220
(2012)
Modelling reveals novel roles of two parallel signalling pathways and homeostatic feedbacks in yeast.
Mol. Syst. Biol.
13
(8),
622.
doi: 10.1038/msb.2012.53, PMID: 23149687
(2012)
Propagating semantic information in biochemical network models.
BMC Bioinformatics
13
(1),
18.
doi: 10.1186/1471-2105-13-18, PMID: 22289386
(2012)
Size homeostasis can be intrinsic to growing cell populations and explained without size sensing or signalling.
FEBS J.
279
(22),
4213-30.
doi: 10.1111/febs.12014, PMID: 23013467
(2012)
A framework for mapping, visualisation and automatic model creation of signal transduction networks.
Molecular Systems Biology
8
, 578.
doi: 10.1038/msb.2012.12, PMID: 22531118
2011
(2011)
Time-dependent quantitative multicomponent control of the G1-S network by the stress-activated protein kinase Hog1 upon osmostress.
Sci. Signal.
4
(192),
ra63.
doi: 10.1126/scisignal.2002204, PMID: 21954289
(2011)
A low number of SIC1 mRNA molecules ensures a low noise level in cell cycle progression of budding yeast.
Mol. Biosyst.
7
(10)
, 2804-12.
doi: 10.1039/C1MB05073G, PMID: 21717009
(2011)
Sic1 plays a role in timing and oscillatory behaviour of B-type cyclins.
Biotechnol. Adv.
, Epub ahead of print.
doi: 10.1016/j.biotechadv.2011.09.004, PMID: 21963604
(2011)
Modeling mechanistic biological networks: an advanced Boolean approach.
Bioinformatics
December 22,
doi: 10.1093/bioinformatics/btr697, PMID: 22199382
(2011)
The glyoxalase system as an example of a cellular maintenance pathway with relevance to aging.
Aging (Albany NY)
3
(1),
17-8.
PMID: 21266742
(2011)
Evolution of the mitochondrial fusion-fission cycle and its role in aging.
Proc. Natl. Acad. Sci. USA.
108
(25),
10237-42.
doi: 10.1073/pnas.1101604108, PMID: 21646529
(2011)
Text mining for systems modeling.
Methods Mol. Biol.
696
(1),
305-18.
doi: 10.1007/978-1-60761-987-1_19, PMID: 21063956
(2011)
Standards, tools, and databases for the analysis of yeast 'omics data.
Methods Mol. Biol.
759
, 345-65.
doi: 10.1007/978-1-61779-173-4_20, PMID: 21863497
(2011)
Molecular insights into reprogramming-initiation events mediated by the OSKM gene regulatory.
PLoS ONE
6
(8),
e24351.
doi: 10.1371/journal.pone.0024351, PMID: 21909390
(2011)
Model-based inference of biochemical parameters and dynamic properties of microbial signal transduction networks.
Curr. Opin. Biotechnol.
22
(1),
109-16.
doi: 10.1016/j.copbio.2010.09.014, PMID: 20970318
(2011)
Automated ensemble modeling with modelMaGe: analyzing feedback mechanisms in the Sho1 branch of the HOG pathway.
PLoS One
6
(3),
e14791.
doi: 10.1371/journal.pone.0014791, PMID: 21483474
(2011)
Unraveling interactions of cell cycle-regulating proteins Sic1 and B-type cyclins in living yeast cells: a FLIM-FRET approach.
FASEB J.
26
(2)
, 546-54.
doi: 10.1096/fj.11-192518, PMID: 22002907
(2011)
Retrieval, alignment, and clustering of computational models based on semantic annotations.
Mol. Syst. Biol.
7
, 512.
doi: 10.1038/msb.2011.41, PMID: 21772260
(2011)
Metabolic synchronization by traveling waves in yeast cell layers.
Biophys. J.
100
(4),
809-13.
doi: 10.1016/j.bpj.2010.12.3704
(2011)
STSE: Spatio-temporal simulation environment dedicated to biology.
BMC Bioinform.
12
, 126.
doi: 10.1186/1471-2105-12-126, PMID: 21527030
(2011)
Modeling dissemination of pathogenic fungi within a host: a cartoon for the interactions of two complex systems.
J. Comput. Sci. Syst. Biol.
S1
001.
doi: 10.4172/jcsb.S1-001
(2011)
Minimum information about a simulation experiment (MIASE).
PLoS Comput. Biol.
7
(4),
e1001122.
doi: 10.1371/journal.pcbi.1001122, PMID: 21552546
(2011)
Information theory based approaches to cellular signaling.
Biochim. Biophys. Acta.
1810
(10),
924-32.
doi: 10.1016/j.bbagen.2011.07.009, PMID: 21798319
(2011)
Quantitative analysis of transient and sustained transforming growth factor-ß signaling dynamics.
Mol. Syst. Biol.
7
, 492.
doi: 10.1038/msb.2011.22, PMID: 21613981
2010
(2010)
Sic1 plays a role in timing and oscillatory behaviour of B-type cyclins in yeast.
FEBS J.
277
(Suppl. s1),
174.
doi: 10.1111/j.1742-4658.2010.07680.x
(2010)
Replication origins and timing of temporal replication in budding yeast: how to solve the conundrum?
Curr Genomics
11
(3),
199-211.
doi: 10.2174/138920210791110942, PMID: 21037857
(2010)
Biochemical network-based drug-target prediction.
Curr. Opin. Biotechnol.
21
(4),
511-6.
doi: 10.1016/j.copbio.2010.05.004, PMID: 20554441
(2010)
Annotation and merging of SBML models with semanticSBML.
Bioinformatics
26
(3),
421-2.
doi: 10.1093/bioinformatics/btp642
(2010)
Modular rate laws for enzymatic reactions: thermodynamics, elasticities and implementation.
Bioinformatics
26
(12),
1528-34.
doi: 10.1093/bioinformatics/btq141, PMID: 20385728
(2010)
Parameter balancing in kinetic models of cell metabolism.
J. Phys. Chem. B
114
(49),
16298-303.
doi: 10.1021/jp108764b, PMID: 21038890
(2010)
Triple-negative breast cancer: present challenges and new perspectives.
Mol. Oncol.
4
(3),
209-29.
doi: 10.1016/j.molonc.2010.04.006, PMID: 20537966
(2010)
Biophysical properties of Saccharomyces cerevisiae and their relationship with HOG pathway activation.
Eur. Biophys. J.
39
(11),
1547-56.
doi: 10.1007/s00249-010-0612-0, PMID: 20563574
(2010)
Spatio-temporal dynamics of glycolysis in cell layers. A mathematical model.
Biosystems
99
(2),
104-8.
doi: 10.1016/j.biosystems.2009.10.002
(2010)
What influences DNA replication rate in budding yeast?
PLoS One
5
(4),
e10203.
doi: 10.1371/journal.pone.0010203, PMID: 20436919
(2010)
Spatio-temporal simulation environment. A microscopy image based modelization framework.
Microscopy and Microanalysis
16
(Suppl. S2),
734-5.
doi: 10.1017/S1431927610060083
(2010)
Signal integration in budding yeast.
Biochem. Soc. Trans.
38
(5),
1257-64.
doi: 10.1042/BST0381257, PMID: 20863295
(2010)
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model.
Bioinformatics
26
(12),
i255-60.
doi: 10.1093/bioinformatics/btq183
(2010)
A quantitative study of the Hog1 MAPK response to fluctuating osmotic stress in Saccharomyces cerevisiae.
PLoS One
5
(3),
e9522.
doi: 10.1371/journal.pone.0009522, PMID: 20209100
2009
(2009)
Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation.
BMC Bioinform.
10
(Suppl. 12),
S16.
doi: 10.1186/1471-2105-10-S12-S16
(2009)
An integrative approach towards completing genome-scale metabolic networks.
Mol. BioSyst.
5
, 1889-1903.
doi: 10.1039/b915913b
(2009)
Functional classification of genome-scale metabolic networks.
EURASIP J. Bioinform. Syst. Biol.
2009
, Article ID 570456.
doi: 10.1155/2009/570456
(2009)
Graphical analysis and experimental evaluation of Saccharomyces cerevisiae P_TRK1/2 and P_BMH1/2 promoter region.
Genome Inform.
22
, 11-20.
PMID: 20238415
(2009)
Timing matters.
FEBS Lett.
583
(24),
4013-8.
doi: 10.1016/j.febslet.2009.11.065
(2009)
Robustness and fragility in the yeast high osmolarity glycerol (HOG) signal-transduction pathway.
Mol. Syst. Biol.
5
, 281.
doi: 10.1038/msb.2009.36
(2009)
Formal representation of the high osmolarity glycerol pathway in yeast.
Genome Inform.
22
, 69-83.
PMID: 20238420
(2009)
Monte Carlo analysis of an ODE model of the sea urchin endomesoderm network.
BMC Syst. Biol.
3
, 83.
doi: 10.1186/1752-0509-3-83
(2009)
Nested uncertainties in biochemical models.
IET Syst. Biol.
3
(1),
1-9.
doi: 10.1049/iet-syb:20070042
(2009)
TIde: a software for the systematic scanning of drug targets in kinetic network models.
BMC Bioinform.
10
, 344.
doi: 10.1186/1471-2105-10-344
(2009)
A model for the spatiotemporal organization of DNA replication in Saccharomyces cerevisiae.
Mol. Genet. Genomics
282
(1),
25-35.
doi: 10.1007/s00438-009-0443-9
(2009)
Impact of genome reduction on bacterial metabolism and its regulation.
Science
326
(5957),
1263-8.
doi: 10.1126/science.1177263
2008
(2008)
Sic1 can regulate the fundamental events in the budding yeast cell cycle.
FEBS J.
275
(Suppl. s1),
441.
doi: 10.1111/j.1742-4658.2008.06447.x
(2008)
Biosynthetic potentials from species-specific metabolic networks.
Genome Inform.
20
, 135-48.
(2008)
Exploring the effect of variable enzyme concentrations in a kinetic model of yeast glycolysis.
Genome Inform.
20
, 1-14.
(2008)
Exploratory simulation of cell ageing using hierarchical models.
Genome Inform.
21
, 114-25.
(2008)
Selective benefits of damage partitioning in unicellular systems and its effects on aging.
Proc. Natl. Acad. Sci.
105
(48),
18764-9.
doi: 10.1073/pnas.0804550105
(2008)
ModelMage: a tool for automatic model generation, selection, and management.
Genome Inform.
20
, 52-63.
(2008)
Drug-efficacy depends on the inhibitor type and the target position in a metabolic network - A systematic study.
J. Theor. Biol.
252
(3),
442-55.
doi: 10.1016/j.jtbi.2007.09.027, PMID: 17981303
(2008)
An environmental perspective on metabolism.
J. Theor. Biol.
252
(3),
530-7.
doi: 10.1016/j.jtbi.2007.10.036
(2008)
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.
Nature Biotechnol.
26
(10),
1155-60.
doi: 10.1038/nbt1492
(2008)
Exploring the impact of osmoadaptation on glycolysis using time-varying response coefficients.
Genome Inform.
20
, 77-90.
(2008)
SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool.
BMC Bioinform.
9
, 342.
doi: 10.1186/1471-2105-9-342
2007
(2007)
Insights into the network controlling the G1/S transition in budding yeast.
Genome Inform.
18
, 85-99.
(2007)
Modeling of the G(1)/S transition in yeast cell cycle.
FEBS J.
274
(Suppl. s1),
248.
doi: 10.1111/j.0014-2956.2007.05861_5.x
(2007)
Cell size at S phase initiation: an emergent property of the G1/S network.
PLoS Comput. Biol.
3
(4),
e64.
doi: 10.1371/journal.pcbi.0030064
(2007)
Automatically generated model of a metabolic network.
Genome Inform.
18
, 215-24.
(2007)
MetaPath Online: a web server implementation of the network expansion algorithm.
Nucleic Acids Res.
35
(Suppl. 2),
W613-8.
doi: 10.1093/nar/gkm287
(2007)
Modeling dynamic processes in yeast. Review.
Yeast
24
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doi: 10.1002/yea.1544, PMID: 17868189
(2007)
Modeling of yeast cell stress response.
FEBS J.
274
(Suppl. s1),
53.
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(2007)
Systems Biology standards - the community speaks.
Nature Biotechnol.
25
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390-1.
doi: 10.1038/nbt0407-390
(2007)
Modeling development. Spikes of the sea urchin.
Genome Inform.
18
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(2007)
Dynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress.
J. Biol.
6
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doi: 10.1186/jbiol61
(2007)
Cellular signaling is potentially regulated by cell density in receptor trafficking networks.
FEBS Lett.
581
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4589-95.
doi: 10.1016/j.febslet.2007.08.047
(2007)
Constraint-based modeling and kinetic analysis of the Smad dependent TGF-β signaling pathway.
PLoS One
2
(9),
e936.
doi: 10.1371/jounal.phone.0000936
(2007)
Steady state analysis of signal response in receptor trafficking networks.
Genome Inform.
18
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Prediction of enzyme kinetic parameters based on statistical learning.
Genome Inform.
17
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(2006)
Patterns of interactions of reaction pairs in metabolic networks.
Genome Inform.
17
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208-18.
(2006)
Evolutionary changes of metabolic networks and their biosynthetic capacities.
IEE Proc. Syst. Biol.
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(2006)
Structural analysis of expressed metabolic subnetworks.
Genome Inform.
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Hierarchy of metabolic compounds based on their synthetic capacity.
IEE Proc. Syst. Biol.
153
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(2006)
Mathematical modeling of intracellular signaling pathways.
BMC Neurosci.
7
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S10.
doi: 10.1186/1471-2202-7-S1-S10
(2006)
Bringing metabolic networks to life: convenience rate law and thermodynamic constraints.
Theor. Biol. Med. Model.
3
, 41.
doi: 10.1186/1742-4682-3-41
(2006)
Bringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data.
Theor. Biol. Med. Model.
3
, 42.
doi: 10.1186/1742-4682-3-42
(2006)
Bioinformatics meets systems biology.
Genome Biol.
7
, 303.
doi: 10.1186/gb-2006-7-1-303
(2006)
A modelling approach to quantify dynamic crosstalk between the pheromone and the starvation pathway in baker's yeast.
FEBS J.
273
(15),
3520-33.
doi: 10.1111/j.1742-4658.2006.05359.x
(2006)
SBMLmerge, a system for combining biochemical network models.
Genome Inform.
17
(1),
62-71.
(2006)
SBML-PET: a Systems Biology Markup Language-based parameter estimation tool.
Bioinformatics
22
(21),
2704-5.
doi: 10.1093/bioinformatics/btl443
2005
(2005)
A cross species comparison of metabolic network functions.
Genome Inform.
16
(1),
203-13.
(2005)
Expanding metabolic networks: scopes of compounds, robustness, and evolution.
J. Mol. Evol.
61
(4),
498-512.
doi: 10.1007/s00239-005-0027-1
(2005)
Integrative model of the response of yeast to osmotic shock.
Nature Biotechnol.
23
(8),
975-82.
doi: 10.1038/nbt1114
(2005)
Alternative pathways as mechanism for the negative effects associated with overexpression of superoxide dismutase.
J. Theor. Biol.
238
(4),
828-40.
doi: 10.1016/j.jtbi.2005.06.034
(2005)
Minimum information requested in the annotation of biochemical models (MIRIAM).
Nature Biotechnol.
23
(12),
1509-15.
doi: 10.1038/nbt1156
(2005)
Biochemical network models simplified by balanced truncation.
FEBS J.
272
(16),
4034-43.
doi: 10.1111/j.1742-4658.2005.04780.x
(2005)
Biochemical networks with uncertain parameters.
IEE Proc. Syst. Biol.
152
(3),
97-107.
2004
(2004)
Structural analysis of expanding metabolic networks.
Genome Inform.
15
(1),
35-45.
(2004)
Finding kinetic parameters using text mining.
OMICS J. Integrat. Biol.
8
(2),
131-52.
doi: 10.1089/1536231041388366
(2004)
Inferring dynamic properties of biochemical reaction networks from structural knowledge.
Genome Inform.
15
(1),
125-37.
(2004)
Modeling the dynamics of the yeast pheromone pathway.
Yeast
21
(10),
831-50.
doi: 10.1002/yea.1122
(2004)
Alternative pathways might mediate toxicity of high concentrations of superoxide dismutase.
Ann. New York Acad. Sci.
1019
, 370-4.
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