The Regulation of Cellular Systems

Heinrich, Reinhart, Schuster, Stefan·1996·Springer eBooks

DOI 10.1007/978-1-4613-1161-4

Open this paper in CoChat — free account

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1007/978-1-4613-1161-4

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

COPASI—a COmplex PAthway SImulator
Hoops, S., Sahle, S., Gauges, R., Lee, C., Pahle, J., Simus, N., Singhal, M., Xu, L., Mendes, P., & Kummer, U. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl485 · Cited by 2,618
The effects of alternate optimal solutions in constraint-based genome-scale metabolic models
Mahadevan, R., & Schilling, C. H. (2003) · Metabolic Engineering · doi:10.1016/j.ymben.2003.09.002 · Cited by 1,203
Control, exploitation and tolerance of intracellular noise
Rao, C. V., Wolf, D. M., & Arkin, A. P. (2002) · Nature · doi:10.1038/nature01258 · Cited by 1,006
Prebiotic Systems Chemistry: New Perspectives for the Origins of Life
Ruiz-Mirazo, K., Briones, C., & de la Escosura, A. (2014) · Chemical Reviews · doi:10.1021/cr2004844 · Cited by 930
Metabolic network structure determines key aspects of functionality and regulation
Stelling, J., Klamt, S., Bettenbrock, K., Schuster, S., & Gilles, E. D. (2002) · Nature · doi:10.1038/nature01166 · Cited by 802
Self-citation
Optimality and evolutionary tuning of the expression level of a protein
Dekel, E., & Alon, U. (2005) · Nature · doi:10.1038/nature03842 · Cited by 766
Gene regulatory network inference: Data integration in dynamic models—A review
Hecker, M., Lambeck, S., Toepfer, S., van Someren, E., & Guthke, R. (2009) · Biosystems · doi:10.1016/j.biosystems.2008.12.004 · Cited by 755
The Roles of APC and Axin Derived from Experimental and Theoretical Analysis of the Wnt Pathway
Lee, E., Salic, A., Krüger, R., Heinrich, R., & Kirschner, M. W. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000010 · Cited by 708
Self-citation
Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry
Teusink, B., Passarge, J., Reijenga, C. A., Esgalhado, E., van der Weijden, C. C., Schepper, M., Walsh, M. C., Bakker, B. M., van Dam, K., Westerhoff, H. V., et al. (2000) · European Journal of Biochemistry · doi:10.1046/j.1432-1327.2000.01527.x · Cited by 694
Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases
Kell, D. B. (2009) · BMC Medical Genomics · doi:10.1186/1755-8794-2-2 · Cited by 554
Mathematical Models of Protein Kinase Signal Transduction
Heinrich, R., Neel, B. G., & Rapoport, T. A. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00528-2 · Cited by 511
Self-citation
Modular cell biology: retroactivity and insulation
Del Vecchio, D., Ninfa, A. J., & Sontag, E. D. (2008) · Molecular Systems Biology · doi:10.1038/msb4100204 · Cited by 519
Overproduction of Acetyl-CoA Carboxylase Activity Increases the Rate of Fatty Acid Biosynthesis in Escherichia coli
Davis, M. S., Solbiati, J., & Cronan, J. E. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m004756200 · Cited by 479
Metabolite concentrations, fluxes and free energies imply efficient enzyme usage
Park, J. O., Rubin, S. A., Xu, Y.-F., Amador-Noguez, D., Fan, J., Shlomi, T., & Rabinowitz, J. D. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2077 · Cited by 453
Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity
Beg, Q. K., Vazquez, A., Ernst, J., de Menezes, M. A., Bar-Joseph, Z., Barabási, A.-L., & Oltvai, Z. N. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609845104 · Cited by 368
Cancer: A Systems Biology disease
Hornberg, J. J., Bruggeman, F. J., Westerhoff, H. V., & Lankelma, J. (2006) · Biosystems · doi:10.1016/j.biosystems.2005.05.014 · Cited by 381
Biological control through regulated transcriptional coactivators
Spiegelman, B. M., & Heinrich, R. (2004) · Cell · doi:10.1016/j.cell.2004.09.037 · Cited by 377
Self-citation
Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network
Famili, I., Förster, J., Nielsen, J., & Palsson, B. O. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2235812100 · Cited by 353
Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson’s, Huntington’s, Alzheimer’s, prions, bactericides, chemical toxicology and others as examples
Kell, D. B. (2010) · Archives of Toxicology · doi:10.1007/s00204-010-0577-x · Cited by 361
An evolutionary perspective on the Crabtree effect
Pfeiffer, T., & Morley, A. (2014) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2014.00017 · Cited by 318
Optimization in computational systems biology
Banga, J. R. (2008) · BMC Systems Biology · doi:10.1186/1752-0509-2-47 · Cited by 278
A Computational Systems Biology Software Platform for Multiscale Modeling and Simulation: Integrating Whole-Body Physiology, Disease Biology, and Molecular Reaction Networks
Eissing, T. (2011) · Frontiers in Physiology · doi:10.3389/fphys.2011.00004 · Cited by 204
Formulating genome‐scale kinetic models in the post‐genome era
Jamshidi, N., & Palsson, B. Ø. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.8 · Cited by 180
Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli
Yuan, J., Doucette, C. D., Fowler, W. U., Feng, X., Piazza, M., Rabitz, H. A., Wingreen, N. S., & Rabinowitz, J. D. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.60 · Cited by 178
Some new directions in control theory inspired by systems biology
Sontag, E. D. (2004) · Systems Biology · doi:10.1049/sb:20045006 · Cited by 171
Addressing parameter identifiability by model-based experimentation
Raue, A., Kreutz, C., Maiwald, T., Klingmüller, U., & Timmer, J. (2011) · IET Systems Biology · doi:10.1049/iet-syb.2010.0061 · Cited by 145
Impact of the solvent capacity constraint on E. coli metabolism
Vazquez, A., Beg, Q. K., deMenezes, M. A., Ernst, J., Bar-Joseph, Z., Barabási, A.-L., Boros, L. G., & Oltvai, Z. N. (2008) · BMC Systems Biology · doi:10.1186/1752-0509-2-7 · Cited by 124
Inverse problems in systems biology
Engl, H. W., Flamm, C., Kügler, P., Lu, J., Müller, S., & Schuster, P. (2009) · Inverse Problems · doi:10.1088/0266-5611/25/12/123014 · Cited by 122
Comparative study of parameter sensitivity analyses of the TCR-activated Erk-MAPK signalling pathway
Zheng, Y., & Rundell, A. (2006) · IEE Proceedings - Systems Biology · doi:10.1049/ip-syb:20050088 · Cited by 121
Kinetic modelling of plant metabolic pathways
Rohwer, J. M. (2012) · Journal of Experimental Botany · doi:10.1093/jxb/ers080 · Cited by 106
Bringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data
Liebermeister, W., & Klipp, E. (2006) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-3-42 · Cited by 82
Model reduction and a priori kinetic parameter identifiability analysis using metabolome time series for metabolic reaction networks with linlog kinetics
Nikerel, I. E., van Winden, W. A., Verheijen, P. J. T., & Heijnen, J. J. (2009) · Metabolic Engineering · doi:10.1016/j.ymben.2008.07.004 · Cited by 71
Systems interface biology
Doyle, F. J., & Stelling, J. (2006) · Journal of The Royal Society Interface · doi:10.1098/rsif.2006.0143 · Cited by 60
Discriminating between rival biochemical network models: three approaches to optimal experiment design
Mélykúti, B., August, E., Papachristodoulou, A., & El-Samad, H. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-38 · Cited by 58
Extended analyses of the Wnt/β-catenin pathway: Robustness and oscillatory behaviour
Wawra, C., Kühl, M., & Kestler, H. A. (2007) · FEBS Letters · doi:10.1016/j.febslet.2007.07.043 · Cited by 56
The virtual human: Towards a global systems biology of multiscale, distributed biochemical network models
Kell, D. B. (2007) · IUBMB Life · doi:10.1080/15216540701694252 · Cited by 52
Untitled work
(2004) · PubMed · Cited by 49
Spontaneous Emergence of Homochirality via Coherently Coupled Antagonistic and Reversible Reaction Cycles
Mauksch, M., & Tsogoeva, S. B. (2008) · ChemPhysChem · doi:10.1002/cphc.200800226 · Cited by 46
A new strategy for assessing sensitivities in biochemical models
Sahle, S., Mendes, P., Hoops, S., & Kummer, U. (2008) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2008.0108 · Cited by 44
Interrogating the effect of enzyme kinetics on metabolism using differentiable constraint-based models
(2022) · doi:10.1016/j.ymben.2022.09.002 · Cited by 13
Exploration of Quantitative Scoring Metrics to Compare Systems Biology Modeling Approaches
Kaddi, C., Oden, E. D., Quo, C. F., & Wang, M. D. (2007) · 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2007.4352493 · Cited by 5

Authors: Heinrich, R., & Schuster, S.
Venue: Springer eBooks
Publisher: Springer US
Published: 1996
DOI: 10.1007/978-1-4613-1161-4
OpenAlex: W1484198052
Cited by: 1,193
References: 0
FWCI: 5.23
Type: book
Language: en
Open access: closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review