Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 90 entries
Sorted by: Best Match Show Resources per page
Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.

Journal of the Royal Society, Interface

He F, Murabito E, Westerhoff HV.
PMID: 27075000
J R Soc Interface. 2016 Apr;13(117). doi: 10.1098/rsif.2015.1046. Epub 2016 Apr 13.

Metabolic pathways can be engineered to maximize the synthesis of various products of interest. With the advent of computational systems biology, this endeavour is usually carried out through in silico theoretical studies with the aim to guide and complement...

Cite
He F, Murabito E, Westerhoff HV. Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering. J R Soc Interface. 2016;13(117)doi: 10.1098/rsif.2015.1046.
He, F., Murabito, E., & Westerhoff, H. V. (2016). Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering. Journal of the Royal Society, Interface, 13(117), . https://doi.org/10.1098/rsif.2015.1046
He, Fei, et al. "Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering." Journal of the Royal Society, Interface vol. 13,117 (2016). doi: https://doi.org/10.1098/rsif.2015.1046
He F, Murabito E, Westerhoff HV. Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering. J R Soc Interface. 2016 Apr;13(117). doi: 10.1098/rsif.2015.1046. Epub 2016 Apr 13. PMID: 27075000; PMCID: PMC4874428.
Copy Download .nbib Format: NLM
Metabolite damage and repair in metabolic engineering design.

Metabolic engineering

Sun J, Jeffryes JG, Henry CS, Bruner SD, Hanson AD.
PMID: 29030275
Metab Eng. 2017 Nov;44:150-159. doi: 10.1016/j.ymben.2017.10.006. Epub 2017 Oct 10.

The necessarily sharp focus of metabolic engineering and metabolic synthetic biology on pathways and their fluxes has tended to divert attention from the damaging enzymatic and chemical side-reactions that pathway metabolites can undergo. Although historically overlooked and underappreciated, such...

Cite
Sun J, Jeffryes JG, Henry CS, et al. Metabolite damage and repair in metabolic engineering design. Metab Eng. 2017;44:150-159doi: 10.1016/j.ymben.2017.10.006.
Sun, J., Jeffryes, J. G., Henry, C. S., Bruner, S. D., & Hanson, A. D. (2017). Metabolite damage and repair in metabolic engineering design. Metabolic engineering, 44150-159. https://doi.org/10.1016/j.ymben.2017.10.006
Sun, Jiayi, et al. "Metabolite damage and repair in metabolic engineering design." Metabolic engineering vol. 44 (2017): 150-159. doi: https://doi.org/10.1016/j.ymben.2017.10.006
Sun J, Jeffryes JG, Henry CS, Bruner SD, Hanson AD. Metabolite damage and repair in metabolic engineering design. Metab Eng. 2017 Nov;44:150-159. doi: 10.1016/j.ymben.2017.10.006. Epub 2017 Oct 10. PMID: 29030275.
Copy Download .nbib Format: NLM
Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.

World journal of microbiology & biotechnology

Horvat P, Koller M, Braunegg G.
PMID: 26066363
World J Microbiol Biotechnol. 2015 Sep;31(9):1315-28. doi: 10.1007/s11274-015-1887-1. Epub 2015 Jun 12.

A review of the use of elementary flux modes (EFMs) and their applications in metabolic engineering covered with yield space analysis (YSA) is presented. EFMs are an invaluable tool in mathematical modeling of biochemical processes. They are described from...

Cite
Horvat P, Koller M, Braunegg G. Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies. World J Microbiol Biotechnol. 2015;31(9):1315-28doi: 10.1007/s11274-015-1887-1.
Horvat, P., Koller, M., & Braunegg, G. (2015). Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies. World journal of microbiology & biotechnology, 31(9), 1315-28. https://doi.org/10.1007/s11274-015-1887-1
Horvat, Predrag, et al. "Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies." World journal of microbiology & biotechnology vol. 31,9 (2015): 1315-28. doi: https://doi.org/10.1007/s11274-015-1887-1
Horvat P, Koller M, Braunegg G. Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies. World J Microbiol Biotechnol. 2015 Sep;31(9):1315-28. doi: 10.1007/s11274-015-1887-1. Epub 2015 Jun 12. PMID: 26066363.
Copy Download .nbib Format: NLM
Dynamic metabolic engineering: New strategies for developing responsive cell factories.

Biotechnology journal

Brockman IM, Prather KL.
PMID: 25868062
Biotechnol J. 2015 Sep;10(9):1360-9. doi: 10.1002/biot.201400422. Epub 2015 Apr 13.

Metabolic engineering strategies have enabled improvements in yield and titer for a variety of valuable small molecules produced naturally in microorganisms, as well as those produced via heterologous pathways. Typically, the approaches have been focused on up- and downregulation...

Cite
Brockman IM, Prather KL. Dynamic metabolic engineering: New strategies for developing responsive cell factories. Biotechnol J. 2015;10(9):1360-9doi: 10.1002/biot.201400422.
Brockman, I. M., & Prather, K. L. (2015). Dynamic metabolic engineering: New strategies for developing responsive cell factories. Biotechnology journal, 10(9), 1360-9. https://doi.org/10.1002/biot.201400422
Brockman, Irene M, and Prather, Kristala L J. "Dynamic metabolic engineering: New strategies for developing responsive cell factories." Biotechnology journal vol. 10,9 (2015): 1360-9. doi: https://doi.org/10.1002/biot.201400422
Brockman IM, Prather KL. Dynamic metabolic engineering: New strategies for developing responsive cell factories. Biotechnol J. 2015 Sep;10(9):1360-9. doi: 10.1002/biot.201400422. Epub 2015 Apr 13. PMID: 25868062; PMCID: PMC4629492.
Copy Download .nbib Format: NLM
Synthetic biology of metabolism: using natural variation to reverse engineer systems.

Current opinion in plant biology

Kliebenstein DJ.
PMID: 24699221
Curr Opin Plant Biol. 2014 Jun;19:20-6. doi: 10.1016/j.pbi.2014.03.008. Epub 2014 Apr 01.

A goal of metabolic engineering is to take a plant and introduce new or modify existing pathways in a directed and predictable fashion. However, existing data does not provide the necessary level of information to allow for predictive models...

Cite
Kliebenstein DJ. Synthetic biology of metabolism: using natural variation to reverse engineer systems. Curr Opin Plant Biol. 2014;19:20-6doi: 10.1016/j.pbi.2014.03.008.
Kliebenstein, D. J. (2014). Synthetic biology of metabolism: using natural variation to reverse engineer systems. Current opinion in plant biology, 1920-6. https://doi.org/10.1016/j.pbi.2014.03.008
Kliebenstein, Daniel J. "Synthetic biology of metabolism: using natural variation to reverse engineer systems." Current opinion in plant biology vol. 19 (2014): 20-6. doi: https://doi.org/10.1016/j.pbi.2014.03.008
Kliebenstein DJ. Synthetic biology of metabolism: using natural variation to reverse engineer systems. Curr Opin Plant Biol. 2014 Jun;19:20-6. doi: 10.1016/j.pbi.2014.03.008. Epub 2014 Apr 01. PMID: 24699221.
Copy Download .nbib Format: NLM
PrecursorFinder: a customized biosynthetic precursor explorer.

Bioinformatics (Oxford, England)

Yuan L, Tian Y, Ding S, Liu Y, Chen F, Zhang T, Tu W, Chen J, Hu QN.
PMID: 30304379
Bioinformatics. 2019 May 01;35(9):1603-1604. doi: 10.1093/bioinformatics/bty838.

SUMMARY: Synthetic biology has a great potential to produce high value pharmaceuticals, commodities or bulk chemicals. However, many biosynthetic target molecules have no defined or predicted biosynthetic pathways. Biosynthetic precursors are crucial to create biosynthetic pathways. Thus computer-assisted tools...

Cite
Yuan L, Tian Y, Ding S, et al. PrecursorFinder: a customized biosynthetic precursor explorer. Bioinformatics. 2019;35(9):1603-1604doi: 10.1093/bioinformatics/bty838.
Yuan, L., Tian, Y., Ding, S., Liu, Y., Chen, F., Zhang, T., Tu, W., Chen, J., & Hu, Q. N. (2019). PrecursorFinder: a customized biosynthetic precursor explorer. Bioinformatics (Oxford, England), 35(9), 1603-1604. https://doi.org/10.1093/bioinformatics/bty838
Yuan, Le, et al. "PrecursorFinder: a customized biosynthetic precursor explorer." Bioinformatics (Oxford, England) vol. 35,9 (2019): 1603-1604. doi: https://doi.org/10.1093/bioinformatics/bty838
Yuan L, Tian Y, Ding S, Liu Y, Chen F, Zhang T, Tu W, Chen J, Hu QN. PrecursorFinder: a customized biosynthetic precursor explorer. Bioinformatics. 2019 May 01;35(9):1603-1604. doi: 10.1093/bioinformatics/bty838. PMID: 30304379.
Copy Download .nbib Format: NLM
CRISPR EnAbled Trackable genome Engineering for isopropanol production in Escherichia coli.

Metabolic engineering

Liang L, Liu R, Garst AD, Lee T, Nogué VSI, Beckham GT, Gill RT.
PMID: 28216108
Metab Eng. 2017 May;41:1-10. doi: 10.1016/j.ymben.2017.02.009. Epub 2017 Feb 16.

Isopropanol is an important target molecule for sustainable production of fuels and chemicals. Increases in DNA synthesis and synthetic biology capabilities have resulted in the development of a range of new strategies for the more rapid design, construction, and...

Cite
Liang L, Liu R, Garst AD, et al. CRISPR EnAbled Trackable genome Engineering for isopropanol production in Escherichia coli. Metab Eng. 2017;41:1-10doi: 10.1016/j.ymben.2017.02.009.
Liang, L., Liu, R., Garst, A. D., Lee, T., Nogué, V. S. I., Beckham, G. T., & Gill, R. T. (2017). CRISPR EnAbled Trackable genome Engineering for isopropanol production in Escherichia coli. Metabolic engineering, 411-10. https://doi.org/10.1016/j.ymben.2017.02.009
Liang, Liya, et al. "CRISPR EnAbled Trackable genome Engineering for isopropanol production in Escherichia coli." Metabolic engineering vol. 41 (2017): 1-10. doi: https://doi.org/10.1016/j.ymben.2017.02.009
Liang L, Liu R, Garst AD, Lee T, Nogué VSI, Beckham GT, Gill RT. CRISPR EnAbled Trackable genome Engineering for isopropanol production in Escherichia coli. Metab Eng. 2017 May;41:1-10. doi: 10.1016/j.ymben.2017.02.009. Epub 2017 Feb 16. PMID: 28216108.
Copy Download .nbib Format: NLM
Computational Methods to Assess the Production Potential of Bio-Based Chemicals.

Methods in molecular biology (Clifton, N.J.)

Campodonico MA, Sukumara S, Feist AM, Herrgård MJ.
PMID: 29170955
Methods Mol Biol. 2018;1671:97-116. doi: 10.1007/978-1-4939-7295-1_7.

Elevated costs and long implementation times of bio-based processes for producing chemicals represent a bottleneck for moving to a bio-based economy. A prospective analysis able to elucidate economically and technically feasible product targets at early research phases is mandatory....

Cite
Campodonico MA, Sukumara S, Feist AM, et al. Computational Methods to Assess the Production Potential of Bio-Based Chemicals. Methods Mol Biol. 2018;1671:97-116doi: 10.1007/978-1-4939-7295-1_7.
Campodonico, M. A., Sukumara, S., Feist, A. M., & Herrgård, M. J. (2018). Computational Methods to Assess the Production Potential of Bio-Based Chemicals. Methods in molecular biology (Clifton, N.J.), 167197-116. https://doi.org/10.1007/978-1-4939-7295-1_7
Campodonico, Miguel A, et al. "Computational Methods to Assess the Production Potential of Bio-Based Chemicals." Methods in molecular biology (Clifton, N.J.) vol. 1671 (2018): 97-116. doi: https://doi.org/10.1007/978-1-4939-7295-1_7
Campodonico MA, Sukumara S, Feist AM, Herrgård MJ. Computational Methods to Assess the Production Potential of Bio-Based Chemicals. Methods Mol Biol. 2018;1671:97-116. doi: 10.1007/978-1-4939-7295-1_7. PMID: 29170955.
Copy Download .nbib Format: NLM
Spatial organization of enzymes to enhance synthetic pathways in microbial chassis: a systematic review.

Microbial cell factories

Qiu XY, Xie SS, Min L, Wu XM, Zhu LY, Zhu L.
PMID: 30064437
Microb Cell Fact. 2018 Jul 31;17(1):120. doi: 10.1186/s12934-018-0965-0.

For years, microbes have been widely applied as chassis in the construction of synthetic metabolic pathways. However, the lack of in vivo enzyme clustering of heterologous metabolic pathways in these organisms often results in low local concentrations of enzymes...

Cite
Qiu XY, Xie SS, Min L, et al. Spatial organization of enzymes to enhance synthetic pathways in microbial chassis: a systematic review. Microb Cell Fact. 2018;17(1):120doi: 10.1186/s12934-018-0965-0.
Qiu, X. Y., Xie, S. S., Min, L., Wu, X. M., Zhu, L. Y., & Zhu, L. (2018). Spatial organization of enzymes to enhance synthetic pathways in microbial chassis: a systematic review. Microbial cell factories, 17(1), 120. https://doi.org/10.1186/s12934-018-0965-0
Qiu, Xin-Yuan, et al. "Spatial organization of enzymes to enhance synthetic pathways in microbial chassis: a systematic review." Microbial cell factories vol. 17,1 (2018): 120. doi: https://doi.org/10.1186/s12934-018-0965-0
Qiu XY, Xie SS, Min L, Wu XM, Zhu LY, Zhu L. Spatial organization of enzymes to enhance synthetic pathways in microbial chassis: a systematic review. Microb Cell Fact. 2018 Jul 31;17(1):120. doi: 10.1186/s12934-018-0965-0. PMID: 30064437; PMCID: PMC6066912.
Copy Download .nbib Format: NLM
Metabolic Engineering of .

Journal of agricultural and food chemistry

Hou Y, Liu X, Li S, Zhang X, Yu S, Zhao GR.
PMID: 32627549
J Agric Food Chem. 2020 Aug 05;68(31):8370-8380. doi: 10.1021/acs.jafc.0c02949. Epub 2020 Jul 21.

Betalains are emerging natural pigments with high tinctorial strength and stability, physiological activities, and fluorescent properties for potential application in food, cosmetic, and pharmaceutical industries. Betalains including yellow betaxanthins and red betacyanins are mainly restricted in the Caryophyllales plants....

Cite
Hou Y, Liu X, Li S, et al. Metabolic Engineering of . J Agric Food Chem. 2020;68(31):8370-8380doi: 10.1021/acs.jafc.0c02949.
Hou, Y., Liu, X., Li, S., Zhang, X., Yu, S., & Zhao, G. R. (2020). Metabolic Engineering of . Journal of agricultural and food chemistry, 68(31), 8370-8380. https://doi.org/10.1021/acs.jafc.0c02949
Hou, Yanan, et al. "Metabolic Engineering of ." Journal of agricultural and food chemistry vol. 68,31 (2020): 8370-8380. doi: https://doi.org/10.1021/acs.jafc.0c02949
Hou Y, Liu X, Li S, Zhang X, Yu S, Zhao GR. Metabolic Engineering of . J Agric Food Chem. 2020 Aug 05;68(31):8370-8380. doi: 10.1021/acs.jafc.0c02949. Epub 2020 Jul 21. PMID: 32627549.
Copy Download .nbib Format: NLM
Microbial production of extremolytes - high-value active ingredients for nutrition, health care, and well-being.

Current opinion in biotechnology

Becker J, Wittmann C.
PMID: 32199140
Curr Opin Biotechnol. 2020 Oct;65:118-128. doi: 10.1016/j.copbio.2020.02.010. Epub 2020 Mar 18.

Extremolytes are small organic molecules, which protect cells under extreme, virtually inhabitable conditions. Their exceptional properties can be translated into health-promoting and therapeutic activities, which open an avenue of opportunities for the cosmetic, medical, and food industries. Supported by...

Cite
Becker J, Wittmann C. Microbial production of extremolytes - high-value active ingredients for nutrition, health care, and well-being. Curr Opin Biotechnol. 2020;65:118-128doi: 10.1016/j.copbio.2020.02.010.
Becker, J., & Wittmann, C. (2020). Microbial production of extremolytes - high-value active ingredients for nutrition, health care, and well-being. Current opinion in biotechnology, 65118-128. https://doi.org/10.1016/j.copbio.2020.02.010
Becker, Judith, and Wittmann, Christoph. "Microbial production of extremolytes - high-value active ingredients for nutrition, health care, and well-being." Current opinion in biotechnology vol. 65 (2020): 118-128. doi: https://doi.org/10.1016/j.copbio.2020.02.010
Becker J, Wittmann C. Microbial production of extremolytes - high-value active ingredients for nutrition, health care, and well-being. Curr Opin Biotechnol. 2020 Oct;65:118-128. doi: 10.1016/j.copbio.2020.02.010. Epub 2020 Mar 18. PMID: 32199140.
Copy Download .nbib Format: NLM
User guides for biologists to learn computational methods.

Journal of microbiology (Seoul, Korea)

Na D.
PMID: 32108313
J Microbiol. 2020 Mar;58(3):173-175. doi: 10.1007/s12275-020-9723-1. Epub 2020 Feb 27.

System-wide studies of a given molecular type are referred to as "omics." These include genomics, proteomics, and metabolomics, among others. Recent biotechnological advances allow for high-throughput measurement of cellular components, and thus it becomes possible to take a snapshot...

Cite
Na D. User guides for biologists to learn computational methods. J Microbiol. 2020;58(3):173-175doi: 10.1007/s12275-020-9723-1.
Na, D. (2020). User guides for biologists to learn computational methods. Journal of microbiology (Seoul, Korea), 58(3), 173-175. https://doi.org/10.1007/s12275-020-9723-1
Na, Dokyun. "User guides for biologists to learn computational methods." Journal of microbiology (Seoul, Korea) vol. 58,3 (2020): 173-175. doi: https://doi.org/10.1007/s12275-020-9723-1
Na D. User guides for biologists to learn computational methods. J Microbiol. 2020 Mar;58(3):173-175. doi: 10.1007/s12275-020-9723-1. Epub 2020 Feb 27. PMID: 32108313.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 90 entries