The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Constraint-based models predict metabolic and associated cellular functions
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Cites
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae
Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706
What is flux balance analysis?
Orth, J. D., Thiele, I., & Palsson, B. Ø. (2010) · Nature Biotechnology · doi:10.1038/nbt.1614 · Cited by 3,903
Self-citationCancer cell metabolism: warburg and beyond
Hsu, P. P., & Sabatini, D. M. (2008) · Cell · doi:10.1016/j.cell.2008.08.021 · Cited by 2,452 · cited 1×
“There has been renewed interest in studying metabolic alterations that occur in cancer cells 76 .”
BackgroundThe Genetic Landscape of a Cell
Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., Koh, J. L. Y., Toufighi, K., Mostafavi, S., et al. (2010) · Science · doi:10.1126/science.1180823 · Cited by 2,162
A protocol for generating a high-quality genome-scale metabolic reconstruction
Thiele, I., & Palsson, B. Ø. (2010) · Nature Protocols · doi:10.1038/nprot.2009.203 · Cited by 1,789
Self-citationA Whole-Cell Computational Model Predicts Phenotype from Genotype
Karr, J. R., Sanghvi, J. C., Macklin, D. N., Gutschow, M. V., Jacobs, J. M., Bolival, B., Assad-Garcia, N., Glass, J. I., & Covert, M. W. (2012) · Cell · doi:10.1016/j.cell.2012.05.044 · Cited by 1,300 · cited 1×
“Trends in current literature 89,91,96 indicate that other cellular processes may be modelled using alternative frameworks that are better suited for a particular biological phenomena.”
BackgroundA community-driven global reconstruction of human metabolism
Thiele, I., Swainston, N., Fleming, R. M. T., Hoppe, A., Sahoo, S., Aurich, M. K., Haraldsdottir, H., Mo, M. L., Rolfsson, O., Stobbe, M. D., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2488 · Cited by 1,019
Self-citationEscherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth
Ibarra, R. U., Edwards, J. S., & Palsson, B. O. (2002) · Nature · doi:10.1038/nature01149 · Cited by 857 · cited 2×
“Studies have shown that, by optimizing the assumed cellular objectives of growth 27 and energy use 36,37 , one can predict metabolic fluxes in microorganisms.”
BackgroundSelf-citationThe Molecular Diversity of Adaptive Convergence
Tenaillon, O., Rodríguez-Verdugo, A., Gaut, R. L., McDonald, P., Bennett, A. F., Long, A. D., & Gaut, B. S. (2012) · Science · doi:10.1126/science.1212986 · Cited by 815
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
Integrating high-throughput and computational data elucidates bacterial networks
Covert, M. W., Knight, E. M., Reed, J. L., Herrgard, M. J., & Palsson, B. O. (2004) · Nature · doi:10.1038/nature02456 · Cited by 792
Self-citationConstraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
Lewis, N. E., Nagarajan, H., & Palsson, B. O. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2737 · Cited by 779
Self-citationShifts in growth strategies reflect tradeoffs in cellular economics
Molenaar, D., van Berlo, R., de Ridder, D., & Teusink, B. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.82 · Cited by 653
Modular epistasis in yeast metabolism
Segrè, D., DeLuna, A., Church, G. M., & Kishony, R. (2005) · Nature Genetics · doi:10.1038/ng1489 · Cited by 575
Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase
Frezza, C., Zheng, L., Folger, O., Rajagopalan, K. N., MacKenzie, E. D., Jerby, L., Micaroni, M., Chaneton, B., Adam, J., Hedley, A., et al. (2011) · Nature · doi:10.1038/nature10363 · Cited by 503
Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction
O'Brien, E. J., Lerman, J. A., Chang, R. L., Hyduke, D. R., & Palsson, B. Ø. (2013) · Molecular Systems Biology · doi:10.1038/msb.2013.52 · Cited by 471
Self-citationMultidimensional Optimality of Microbial Metabolism
Schuetz, R., Zamboni, N., Zampieri, M., Heinemann, M., & Sauer, U. (2012) · Science · doi:10.1126/science.1216882 · Cited by 420 · cited 1×
“To identify the objec-tive function that best predicts experimental data on growing cells, one study 41 greatly expanded the initial assessment of appropriate objective functions for FBA by compiling 44 metabolic flux analysis data sets of in vivo flux distributions for E. coli , and the…”
BRENDA, the enzyme information system in 2011
Scheer, M., Grote, A., Chang, A., Schomburg, I., Munaretto, C., Rother, M., Sohngen, C., Stelzer, M., Thiele, J., & Schomburg, D. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1089 · Cited by 409
Network Context and Selection in the Evolution to Enzyme Specificity
Nam, H., Lewis, N. E., Lerman, J. A., Lee, D.-H., Chang, R. L., Kim, D., & Palsson, B. O. (2012) · Science · doi:10.1126/science.1216861 · Cited by 277
Self-citationIn silico method for modelling metabolism and gene product expression at genome scale
Lerman, J. A., Hyduke, D. R., Latif, H., Portnoy, V. A., Lewis, N. E., Orth, J. D., Schrimpe-Rutledge, A. C., Smith, R. D., Adkins, J. N., Zengler, K., et al. (2012) · Nature Communications · doi:10.1038/ncomms1928 · Cited by 266
Self-citationThiele, I., Jamshidi, N., Fleming, R. M. T., & Palsson, B. Ø. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000312 · Cited by 182 · cited 1×
“CBMs have been reconstructed for cellular processes other than metabolism 9–12 .”
BackgroundSelf-citation
Cited by
Gut microbiota functions: metabolism of nutrients and other food components
Rowland, I., Gibson, G., Heinken, A., Scott, K., Swann, J., Thiele, I., & Tuohy, K. (2018) · European Journal of Nutrition · doi:10.1007/s00394-017-1445-8 · Cited by 2,878
“, biomass production, metabolic fluxes through the network that satisfy this objective are predicted [146].”
BackgroundBiGG Models: A platform for integrating, standardizing and sharing genome-scale models
King, Z. A., Lu, J., Dräger, A., Miller, P., Federowicz, S., Lerman, J. A., Ebrahim, A., Palsson, B. O., & Lewis, N. E. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1049 · Cited by 938
Self-citationSystematic Review of Gut Microbiota and Major Depression
Cheung, S. G., Goldenthal, A. R., Uhlemann, A.-C., Mann, J. J., Miller, J. M., & Sublette, M. E. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00034 · Cited by 597
Metabolic modeling of single Th17 cells reveals regulators of autoimmunity
Wagner, A., Wang, C., Fessler, J., DeTomaso, D., Avila-Pacheco, J., Kaminski, J., Zaghouani, S., Christian, E., Thakore, P., Schellhaass, B., et al. (2021) · Cell · doi:10.1016/j.cell.2021.05.045 · Cited by 524
Robinson, J. L., Kocabaş, P., Wang, H., Cholley, P.-E., Cook, D., Nilsson, A., Anton, M., Ferreira, R., Domenzain, I., Billa, V., et al. (2020) · Science Signaling · doi:10.1126/scisignal.aaz1482 · Cited by 442
Self-citation
Metadata
- Authors
- Bordbar, A., Monk, J. M., King, Z. A., & Palsson, B. O.
- Venue
- Nature Reviews Genetics
- Published
- 2014-01-16
- Volume
- 15
- Issue
- 2
- Pages
- 107-120
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2044935306
- Cited by
- 830
- References
- 22
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
