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LK-DFBA: a linear programming-based modeling strategy for capturing dynamics and metabolite-dependent regulation in metabolism.

BMC bioinformatics

Dromms RA, Lee JY, Styczynski MP.
PMID: 32122331
BMC Bioinformatics. 2020 Mar 02;21(1):93. doi: 10.1186/s12859-020-3422-0.

BACKGROUND: The systems-scale analysis of cellular metabolites, "metabolomics," provides data ideal for applications in metabolic engineering. However, many of the computational tools for strain design are built around Flux Balance Analysis (FBA), which makes assumptions that preclude direct integration...

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Dromms RA, Lee JY, Styczynski MP. LK-DFBA: a linear programming-based modeling strategy for capturing dynamics and metabolite-dependent regulation in metabolism. BMC Bioinformatics. 2020;21(1):93doi: 10.1186/s12859-020-3422-0.
Dromms, R. A., Lee, J. Y., & Styczynski, M. P. (2020). LK-DFBA: a linear programming-based modeling strategy for capturing dynamics and metabolite-dependent regulation in metabolism. BMC bioinformatics, 21(1), 93. https://doi.org/10.1186/s12859-020-3422-0
Dromms, Robert A, et al. "LK-DFBA: a linear programming-based modeling strategy for capturing dynamics and metabolite-dependent regulation in metabolism." BMC bioinformatics vol. 21,1 (2020): 93. doi: https://doi.org/10.1186/s12859-020-3422-0
Dromms RA, Lee JY, Styczynski MP. LK-DFBA: a linear programming-based modeling strategy for capturing dynamics and metabolite-dependent regulation in metabolism. BMC Bioinformatics. 2020 Mar 02;21(1):93. doi: 10.1186/s12859-020-3422-0. PMID: 32122331; PMCID: PMC7053146.
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Metabolic Profiling of .

Industrial & engineering chemistry research

Miguez AM, McNerney MP, Styczynski MP.
PMID: 32063671
Ind Eng Chem Res. 2019 Dec 18;58(50):22472-22482. doi: 10.1021/acs.iecr.9b03565. Epub 2019 Sep 13.

Biotechnology has transformed the production of various chemicals and pharmaceuticals due to its efficient and selective processes, but it is inherently limited by its use of live cells as "biocatalysts." Cell-free expression (CFE) systems, which use a protein lysate...

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Miguez AM, McNerney MP, Styczynski MP. Metabolic Profiling of . Ind Eng Chem Res. 2019;58(50):22472-22482doi: 10.1021/acs.iecr.9b03565.
Miguez, A. M., McNerney, M. P., & Styczynski, M. P. (2019). Metabolic Profiling of . Industrial & engineering chemistry research, 58(50), 22472-22482. https://doi.org/10.1021/acs.iecr.9b03565
Miguez, April M, et al. "Metabolic Profiling of ." Industrial & engineering chemistry research vol. 58,50 (2019): 22472-22482. doi: https://doi.org/10.1021/acs.iecr.9b03565
Miguez AM, McNerney MP, Styczynski MP. Metabolic Profiling of . Ind Eng Chem Res. 2019 Dec 18;58(50):22472-22482. doi: 10.1021/acs.iecr.9b03565. Epub 2019 Sep 13. PMID: 32063671; PMCID: PMC7021278.
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Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors.

Frontiers in microbiology

Miguez AM, McNerney MP, Styczynski MP.
PMID: 29774011
Front Microbiol. 2018 May 03;9:760. doi: 10.3389/fmicb.2018.00760. eCollection 2018.

Using cells as microbial factories enables highly specific production of chemicals with many advantages over chemical syntheses. A number of exciting new applications of this approach are in the area of precision metabolic engineering, which focuses on improving the...

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Miguez AM, McNerney MP, Styczynski MP. Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors. Front Microbiol. 2018;9:760doi: 10.3389/fmicb.2018.00760.
Miguez, A. M., McNerney, M. P., & Styczynski, M. P. (2018). Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors. Frontiers in microbiology, 9760. https://doi.org/10.3389/fmicb.2018.00760
Miguez, April M, et al. "Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors." Frontiers in microbiology vol. 9 (2018): 760. doi: https://doi.org/10.3389/fmicb.2018.00760
Miguez AM, McNerney MP, Styczynski MP. Metabolomics Analysis of the Toxic Effects of the Production of Lycopene and Its Precursors. Front Microbiol. 2018 May 03;9:760. doi: 10.3389/fmicb.2018.00760. eCollection 2018. PMID: 29774011; PMCID: PMC5944366.
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Metabolic Dynamics in .

ACS synthetic biology

Miguez AM, Zhang Y, Piorino F, Styczynski MP.
PMID: 34478281
ACS Synth Biol. 2021 Sep 17;10(9):2252-2265. doi: 10.1021/acssynbio.1c00167. Epub 2021 Sep 03.

The field of metabolic engineering has yielded remarkable accomplishments in using cells to produce valuable molecules, and cell-free expression (CFE) systems have the potential to push the field even further. However, CFE systems still face some outstanding challenges, including...

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Miguez AM, Zhang Y, Piorino F, et al. Metabolic Dynamics in . ACS Synth Biol. 2021;10(9):2252-2265doi: 10.1021/acssynbio.1c00167.
Miguez, A. M., Zhang, Y., Piorino, F., & Styczynski, M. P. (2021). Metabolic Dynamics in . ACS synthetic biology, 10(9), 2252-2265. https://doi.org/10.1021/acssynbio.1c00167
Miguez, April M, et al. "Metabolic Dynamics in ." ACS synthetic biology vol. 10,9 (2021): 2252-2265. doi: https://doi.org/10.1021/acssynbio.1c00167
Miguez AM, Zhang Y, Piorino F, Styczynski MP. Metabolic Dynamics in . ACS Synth Biol. 2021 Sep 17;10(9):2252-2265. doi: 10.1021/acssynbio.1c00167. Epub 2021 Sep 03. PMID: 34478281.
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Showing 1 to 4 of 4 entries