Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 281

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Metabolic control analysis in drug discovery and disease

Cascante, Marta, Boros, Laszlo G., Comin-Anduix, Begoña, de Atauri, Pedro, Centelles, Josep J., Lee, Paul W.-N.·2002·Nature Biotechnology
DOI 10.1038/nbt0302-243
Open this paper in CoChat — free account

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nbt0302-243

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

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

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

Citations

Cites

Show all 2 references

Research works printed but not linked: 67

  1. Weng, G., Bhalla, U.S. & Iyengar, R. Complexity in biological signaling systems. Science 284, 92–95 (1999). · DOI · Paper page
  2. Brent, R. Genomic biology. Cell 10, 169–183 (2000). · DOI
  3. Lander, E.S. Array of hope. Nat. Genet. 21, 3–4 (1999). · DOI · Paper page
  4. Hieter, P. & Bogusky, M. Functional genomics: it's all how you read it. Science 278, 601–602 (1997). · DOI · Paper page
  5. Eisenberg, D., Marcotte, E.M., Xenarios, I. &Yates, T.O. Protein function in the post-genomic era. Nature 405, 823–826 (2000). · DOI · Paper page
  6. Schuster, S., Dandekar, T. & Fell, D.A. Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. Trends Biotechnol. 17, 53–60 (1999). · DOI · Paper page
  7. Dang, C.V. & Semenza, G.L. Oncogenic alterations of metabolism. Trends Biochem. Sci. 24, 68–72 (1999). · DOI · Paper page
  8. Westerhoff, H.V., Koster, J.G., Van Workum, M. & Rudd, K.E. On the control of gene expression. in Control of metabolic processes (ed. Cornish-Bowden, A.) 399–412 (Plenum, New York, 1990). · DOI
  9. Cornish-Bowden, A & Cárdenas, M.L. From genome to cellular phenotype—a role for metabolic flux analysis? Nat. Biotechnol. 18, 267–268 (2000). · DOI
  10. Bailey, J.E. Reflections on the scope and the future of metabolic engineering and its connections to functional genomics and drug discovery. Metab. Eng. 3, 111–114 (2001). · DOI
  11. Stephanopoulos, G. & Vallin, J.J. Network rigidity and metabolic engineering in metabolite overproduction. Science 252, 1675–1681 (1991). · DOI · Paper page
  12. Cornish-Bowden, A. Kinetics of multi-enzyme systems. in Biotechnology, a comprehensive treatise Vol. 9, Edn. 2 (eds. Rehm, H.-J & Reed, G.) 121–136 (Springer-Verlag, Weinheim, Germany, 1995).
  13. Bailey, J.E. Lessons from metabolic engineering for functional genomics and drug discovery. Nat. Biotechnol. 17, 616–618 (1999). · DOI
  14. Stephanopoulos, G. & Sinskey, A.J. Metabolic engineering—methodologies and future prospects. Trends Biotechnol. 11, 392–396 (1993). · DOI
  15. Nielsen, J. Metabolic engineering: tecniques for analysis of targets for genetic manipulations. Biotechnol. Bioeng. 58, 127–132 (1998). · DOI
  16. Savageau, M. Biochemical system analysis. A study of function and design in molecular biology (Addison-Wesley, Reading, MA, 1976).
  17. Voit E.O. Computational analysis of biochemical systems (Cambridge University Press, Cambridge, 2000).
  18. Fell, D. Understanding the control of metabolism (Portland Press, London, 1997).
  19. Cornish-Bowden, A. & Cárdenas, M.L. Technological and medical implications of metabolic control analysis (Kluwer, Dordrecht, The Netherlands, 2000). · DOI
  20. Cornish-Bowden, A. & Eisenthal, R. Prospects for pharmacological manipulation of metabolism. in New beer in an old bottle (ed. Cornish-Bowden, A.) 215–224 (Universitat de Valencia, Spain, 1997).
  21. Salter, M., Knowles, R.G. & Pogson, C.I. Metabolic control. Essays Biochem. 28, 1–12 (1994).
  22. Raamsdonk, L.M et al. A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations. Nat. Biotechnol. 19, 45–50 (2001). · DOI · Paper page
  23. Cornish-Bowden, A. & Cárdenas, M.L. Complex networks of interactions connect genes to phenotypes. Trends Biochem. Sci. 26, 463–465 (2001). · DOI
  24. Oliver, S.G. From DNA sequence to biological function. Nature 379, 597–600 (1996). · DOI · Paper page
  25. Teusink, B., Baganz, F., Westerhoff, H.V. & Oliver, S.G. Metabolic control analysis as a tool in the elucidation of the function of novel genes. Methods Microbiol. 26, 297–336 (1998). · DOI
  26. Hofmeyr, J.H., Cornish-Bowden, A. & Rohwer, J.M. Taking enzyme kinetics out of control; putting control into regulation. Eur. J. Biochem. 212, 833–837 (1993). · DOI
  27. Hofmeyr, J.H. & Cornish-Bowden, A. Co-response analysis: a new experimental strategy for metabolic control analysis. J. Theor. Biol. 182, 371–380 (1996). · DOI
  28. Kholodenko, B.N., Schuster, S., Rohwer, J.M., Cascante, M. & Westerhoff, H.V. Composite control of cell function: metabolic pathways behaving as single control units. FEBS Lett. 368, 1–4 (1995). · DOI
  29. Rohwer, J.M., Schuster, S. & Westerhoff, H.V. How to recognize monofunctional units in a metabolic system. J. Theoret. Biol. 179, 213–228 (1996). · doi:10.1006/jtbi.1996.0062
  30. Cornish-Bowden, A. & Cárdenas, M.L. Functional genomics. Silent genes given voice. Nature 409, 571–572 (2001). · DOI
  31. Johnson, R.A. & Wichern, D.W. Applied multivariate statistical analysis Edn. 4 (Practice Hall, Englewood Cliffs, NJ, 1998).
  32. Mazat, J.P. et al. What do mitochondrial diseases teach us about normal mitochondrial functions...that we already knew: threshold expression of mitochondrial defects. Biochim. Biophys. Acta, 1504, 20–30 (2001). · DOI
  33. Agius, L. The physiological role of glucokinase binding and translocation in hepatocytes. Adv. Enzyme Regulation 38, 303–331 (1998). · DOI
  34. Velho, G. et al. Impaired hepatic glycogen synthesis in glucokinase-deficient (MODY-2) subjects. J. Clin. Invest. 98, 1755–1761 (1996). · DOI · Paper page
  35. Froguel, P. et al. Familial hyperglycemia due to mutations in glucokinase. Definition of a subtype of diabetes mellitus. New Eng. J. Med. 328, 697–702 (1993). · DOI · Paper page
  36. Agius, L., Peak, M., Newgard, C.B., Gómez-Foix, A.M. & Guinovart, J.J. Evidence for a role of glucose-induced translocation of glucokinase in the control of hepatic glycogen synthesis. J. Biol. Chem. 271, 30479–30486 (1996). · DOI
  37. Kacser, H. & Burns, J.A. The molecular basis of dominance. Genetics 97, 639–666 (1981). · DOI · Paper page
  38. Hollán, S. et al. Hereditary triosephosphate isomerase (TPI) deficiency: two severely affected brothers, one with and one without neurological symptoms. Hum. Genet. 92, 486–490 (1993). · doi:10.1007/bf00216456
  39. Orosz, F., Vértessy, B.G., Hollán, S., Horányi, M. & Ovádi, J. Triosephosphate isomerase deficiency: predictions and facts. J. Theor. Biol. 182, 437–447 (1996). · DOI
  40. Schuster, R. & Holzhütter, H.-G. Use of mathematical models for predicting the metabolic effect of large-scale enzyme activity alterations. Application to enzyme deficiencies of red blood cells. Eur. J. Biochem. 229, 403–418 (1995). · DOI
  41. Mitelman, F. Catalogue of chromosome aberrations in cancer (Wiley-Liss, New York, 1994).
  42. Mitelman, F., Mertens, F. & Johansson, B. A breakpoint map of recurrent chromosomal rearrangements in human neoplasia. Nat. Genet. 15, 417–474 (1997). · DOI · Paper page
  43. Sandberg, A.A. The chromosome in human cancer and leukemia Edn. 2 (Elsevier Science Publishing, New York, 1990).
  44. von Hansemann, D. Ueber asymmetrische zellteilung in epithelkrebsen und deren biologische bedeutung. Virchows Arch. Pathol. Anat. 119, 299–336 (1890). · DOI · Paper page
  45. Bauer K.H. Das Krebsproblem, Edn. 1 (Springer, Berlin, Göttingen and Heidelberg, 1963). · doi:10.1007/978-3-642-86062-1
  46. Rasnick, D. & Duesberg, P.H. How aneuploidy affects metabolic control and causes cancer. Biochem. J. 340, 621–630 (1999). · doi:10.1042/bj3400621 · Paper page
  47. Warburg, O. The metabolism of tumors (Constable, London, 1930).
  48. Warburg, O. On the origin of cancer cells. Science 123, 309–314 (1956). · DOI · Paper page
  49. Krebs., E.T. Jr., Krebs, E.T. Sr. & Beard, H.H. The unitarian or trophoblastic thesis of cancer. Med. Record 163, 150–171 (1950).
  50. Horecker, B.L. Pathways of carbohydrate metabolism and their physiological significance. J. Chem. Ed. 42, 244–253 (1965). · DOI
  51. Raylman, R.R., Fisher, S.J., Brown, R.S., Ethier, S.P. & Wahl, R.L. Fluorine-18-fluorodeoxyglucose-guided breast cancer surgery with a positron-sensitive probe: validation in preclinical studies. J. Nuclear Med. 36, 1869–1874 (1995).
  52. Torizuka, T. et al. Myocardial oxidative metabolism in hyperthyroid patients assessed by PET with carbon-11-acetate. J. Nuclear Med. 36, 1811–1817 (1995).
  53. Strauss, L.G. & Conti, P.S. The applications of PET in clinical oncology. J. Nuclear Med. 32, 623–648 (1991).
  54. Cascante, M, Centelles, J.J., Veech, R.L., Lee W-N.P. & Boros, L.G. Role of thiamin (vitamin B-1) and transketolase in tumor cell proliferation. Nutr. Canc. 36, 150–154 (2000). · DOI
  55. Boros, L.G. et al. Transforming growth factor β2 promotes glucose carbon incorporation into nucleic acid ribose through the nonoxidative pentose cycle in lung epithelial carcinoma cells. Cancer Res. 60, 1183–1185 (2000).
  56. Boros, L.G. et al. Oxythiamine and dehydroepiandrosterone inhibit the nonoxidative synthesis of ribose and tumor cell proliferation. Cancer Res. 57, 4242–4248 (1997).
  57. Comin-Anduix, B. et al. The effect of thiamine supplementation on tumour proliferation. A metabolic control analysis study. Eur. J. Biochem. 268, 4177–4188 (2001). · DOI · Paper page
  58. Rais, B., et al. Oxythiamine and dehydroepiandrosterone induce a G1 phase cycle arrest in Ehrlich's tumor cells through inhibition of the pentose cycle. FEBS Lett. 456, 113–118 (1999). · DOI · Paper page
  59. Boros, L.G. et al. Wheat germ extract decreases glucose uptake and RNA ribose formation but increases fatty acid synthesis in MIA pancreatic adenocarcinoma cells. Pancreas 23, 141–147 (2001). · DOI
  60. Boros, L.G., Bassilian, S., Lim, S. & Lee, W.N. Genistein inhibits nonoxidativa ribose synthesis in MIA pancreatic adenocarcinoma cells: a new mechanism of controlling tumor growth. Pancreas 22, 1–7 (2001). · DOI
  61. Bakker, B.M., Michels, P.A., Opperdoes, F.R. & Westerhoff, H.V. Glycolysis in bloodstream form Trypanosoma brucei can be understood in terms of the kinetics of the glycolytic enzymes. J. Biol. Chem. 272, 3207–3215 (1997). · DOI · Paper page
  62. Eisenthal, R. & Cornish-Bowden, A. Prospects for antiparasitic drugs. The case of Trypanosoma brucei, the causative agent of African sleeping sickness. J. Biol. Chem. 273, 5500–5505 (1998). · DOI
  63. Bakker, B.M., Michels, P.A., Opperdoes, F.R. & Westerhoff, H.V. What controls glycolysis in bloodstream form Trypanosoma brucei? J. Biol. Chem. 274, 14551–14559 (1999). · DOI · Paper page
  64. Michels, P.A. Compartmentation of glycolysis in trypanosomes: a potential target for new trypanocidal drugs. Biol. Cell 64, 157–164 (1988). · doi:10.1016/0248-4900(88)90075-5
  65. Bakker, B.M., Westerhoff, H.V., Opperdoes, F.R. & Michels, P.A. Metabolic control analysis of glycolysis in Trypanosomes as an approach to improve selectivity and effectiveness of drugs. Mol. Biochem. Parasitol 106, 1–10 (2000). · DOI
  66. Cornish-Bowden, A. & Eisenthal, R. Computer simulation as a tool for studying metabolism and drug design. In Technological and medical implications of metabolic control analysis (eds. Cornish-Bowden, A. & Cárdenas, M.L.) 165–172 (Kluwer, Dordrecht, The Netherlands, 2000). · DOI
  67. Kacser, H. & Small, J.R. How many phenotypes from one genotype? The case of Prion diseases. J. Theor. Biol. 182, 209–218 (1996). · doi:10.1006/jtbi.1996.0157

Cited by

See all 281

Metadata

Authors
Cascante, M., Boros, L. G., Comin-Anduix, B., de Atauri, P., Centelles, J. J., & Lee, P. W.-N.
Venue
Nature Biotechnology
Publisher
Springer Science and Business Media LLC
Published
2002-03
Volume
20
Issue
3
Pages
243-249
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
DOI
10.1038/nbt0302-243
OpenAlex
W2008715595
Cited by
281
References
2
FWCI
5.62
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Metabolic control analysis in drug discovery and disease. https://app.cochat.ai/papers/10.1038/nbt0302-243
The paper
Cascante, M., Boros, L. G., Comin-Anduix, B., de Atauri, P., Centelles, J. J., & Lee, P. W.-N. (2002). Metabolic control analysis in drug discovery and disease. Nature Biotechnology. https://doi.org/10.1038/nbt0302-243

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.