Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Brian F, Pfleger"'
Autor:
Francesca V. Gambacorta, Ellen R. Wagner, Tyler B. Jacobson, Mary Tremaine, Laura K. Muehlbauer, Mick A. McGee, Justin J. Baerwald, Russell L. Wrobel, John F. Wolters, Mike Place, Joshua J. Dietrich, Dan Xie, Jose Serate, Shabda Gajbhiye, Lisa Liu, Maikayeng Vang-Smith, Joshua J. Coon, Yaoping Zhang, Audrey P. Gasch, Daniel Amador-Noguez, Chris Todd Hittinger, Trey K. Sato, Brian F. Pfleger
Publikováno v:
Synthetic and Systems Biotechnology, Vol 7, Iss 2, Pp 738-749 (2022)
Metabolic engineering strategies have been successfully implemented to improve the production of isobutanol, a next-generation biofuel, in Saccharomyces cerevisiae. Here, we explore how two of these strategies, pathway re-localization and redox cofac
Externí odkaz:
https://doaj.org/article/022ceffc1da0408aaff897bafe1cae67
Autor:
Qiang Yan, William T. Cordell, Michael A. Jindra, Dylan K. Courtney, Madeline K. Kuckuk, Xuanqi Chen, Brian F. Pfleger
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Microbial production of oleochemicals involves strategies of expressing thioesterase to narrow the substrate pool for the termination enzyme at the expense of one ATP. Here, the authors developed an alternative energy-efficient strategy to use of an
Externí odkaz:
https://doaj.org/article/39dd51880fbc497ba33cb80b8f5b33b6
Publikováno v:
Current Research in Biotechnology, Vol 4, Iss , Pp 1-9 (2022)
Characterizing the functional properties of plant acyl-ACP thioesterases (TEs), a key enzyme class used in the production of renewable oleochemicals in microbial hosts, experimentally, can be an expensive and time consuming process since it requires
Externí odkaz:
https://doaj.org/article/a669129b58854527b191f9aa270e25a7
Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Fatty acyl reductases (FARs) are critical enzymes in the biosynthesis of fatty alcohols and have the ability to directly acces acyl-ACP substrates. Here, authors couple machine learning-based protein engineering framework with gene shuffling to optim
Externí odkaz:
https://doaj.org/article/c7cf4104a3534f20a86d3e06336ff293
Autor:
Francesca V. Gambacorta, Joshua J. Dietrich, Justin J. Baerwald, Stephanie J. Brown, Yun Su, Brian F. Pfleger
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Saccharomyces cerevisiae is the dominant fermentative producer of ethanol in industry and a preferred host for production of other biofuels. That said, rewiring the metabolism of S. cerevisiae to produce other fermentation products, such as isobutano
Externí odkaz:
https://doaj.org/article/7920e84f1e8743aaa9525089d1681cfa
Autor:
Michael A. Jindra, Kisurb Choe, Ratul Chowdhury, Ryan Kong, Soodabeh Ghaffari, Jonathan V. Sweedler, Brian F. Pfleger
Publikováno v:
Metabolic Engineering. 77:21-31
Autor:
Dylan K. Courtney, Yun Su, Tyler B. Jacobson, Daven B. Khana, Aditya Ailiani, Daniel Amador-Noguez, Brian F. Pfleger
Publikováno v:
ACS Catalysis. 13:5914-5925
Autor:
Qiang Yan, Tyler B. Jacobson, Zhou Ye, Yoel R. Cortés-Pena, Sarang S. Bhagwat, Susan Hubbard, William T. Cordell, Rebecca E. Oleniczak, Francesca V. Gambacorta, Julio Rivera Vazquez, Eric V. Shusta, Daniel Amador-Noguez, Jeremy S. Guest, Brian F. Pfleger
Publikováno v:
Metabolic Engineering. 76:18-28
Autor:
Wai Kit Ong, Dylan K Courtney, Shu Pan, Ramon Bonela Andrade, Patricia J Kiley, Brian F Pfleger, Jennifer L Reed
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 8, p e1008137 (2020)
Genome-scale metabolic models have been utilized extensively in the study and engineering of the organisms they describe. Here we present the analysis of a published dataset from pooled transposon mutant fitness experiments as an approach for improvi
Externí odkaz:
https://doaj.org/article/48c82c973d924b5f838a270e4307c3c3
Autor:
Gina C. Gordon, Jeffrey C. Cameron, Sanjan T. P. Gupta, Michael D. Engstrom, Jennifer L. Reed, Brian F. Pfleger
Publikováno v:
mSystems, Vol 5, Iss 4 (2020)
ABSTRACT RNA degradation is an important process that influences the ultimate concentration of individual proteins inside cells. While the main enzymes that facilitate this process have been identified, global maps of RNA turnover are available for o
Externí odkaz:
https://doaj.org/article/229c2e06c1fd4e0fa6fab9a8e8683513