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Understanding the control of metabolism
Abstract
Introduction - regulation and control methods for studying metabolism and its regulation traditional approaches to metabolic regulation enzyme activity - the molecular basis for its regulation metabolic control analysis control structures in metabolism. (Part contents)
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Cited by
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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
Computational systems biology.
Kitano, H. (2002) · Nature · doi:10.1038/nature01254 · Cited by 2,209
Universally Sloppy Parameter Sensitivities in Systems Biology Models
Gutenkunst, R. N., Waterfall, J. J., Casey, F. P., Brown, K. S., Myers, C. R., & Sethna, J. P. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030189 · Cited by 1,261
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
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1997-07-01
- Volume
- 34
- Issue
- 11
- Pages
- 34-6252-34-6252
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W1561767438
- Cited by
- 1,231
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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- Understanding the control of metabolism. (1997). Choice Reviews Online. https://doi.org/10.5860/choice.34-6252
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.
