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of 7
pro vyhledávání: '"Indro Neil Ghosh"'
Autor:
Jessica M. Vera, Indro Neil Ghosh, Yaoping Zhang, Alex S. Hebert, Joshua J. Coon, Robert Landick
Publikováno v:
mSystems, Vol 5, Iss 4 (2020)
ABSTRACT Zymomonas mobilis is an ethanologenic alphaproteobacterium with promise for the industrial conversion of renewable plant biomass into fuels and chemical bioproducts. Limited functional annotation of the Z. mobilis genome is a current barrier
Externí odkaz:
https://doaj.org/article/98dfd904d3eb43e6ad31f20b0a67b42d
Autor:
Joshua J. Coon, Julia I. Martien, Yaoping Zhang, Alexander S. Hebert, Robert Landick, Indro Neil Ghosh, Daniel Amador-Noguez
Publikováno v:
Metabolic Engineering. 52:324-340
Efficient microbial production of the next-generation biofuel isobutanol (IBA) is limited by metabolic bottlenecks. Overcoming these bottlenecks will be aided by knowing the optimal ratio of enzymes for efficient flux through the IBA biosynthetic pat
Autor:
Alexander S. Hebert, Joshua J. Coon, Indro Neil Ghosh, Jessica M. Vera, Robert Landick, Yaoping Zhang
Publikováno v:
mSystems, Vol 5, Iss 4, p e00250-20 (2020)
mSystems
mSystems, Vol 5, Iss 4 (2020)
mSystems
mSystems, Vol 5, Iss 4 (2020)
Efforts to rationally engineer synthetic pathways in Zymomonas mobilis are impeded by a lack of knowledge and tools for predictable and quantitative programming of gene regulation at the transcriptional, posttranscriptional, and posttranslational lev
Autor:
Julia I. Martien, Robert Landick, Yang Liu, Daniel Amador-Noguez, Yaoping Zhang, Indro Neil Ghosh
Publikováno v:
Metabolic engineering. 61
The microbial production of chemicals and fuels from plant biomass offers a sustainable alternative to fossilized carbon but requires high rates and yields of bioproduct synthesis. Z. mobilis is a promising chassis microbe due to its high glycolytic
Publikováno v:
The FASEB Journal. 34:1-1
Autor:
Indro Neil Ghosh, Robert Landick
Publikováno v:
ACS synthetic biology. 5(12)
The optimization of synthetic pathways is a central challenge in metabolic engineering. OptSSeq (Optimization by Selection and Sequencing) is one approach to this challenge. OptSSeq couples selection of optimal enzyme expression levels linked to cell
Autor:
Naveen Kumar Navani, Indro Neil Ghosh, Supriya Deepak Patil, Santosh Kumar Srivastava, Tarun Kumar Sharma, Ranjana Pathania
Publikováno v:
International Journal of Nanomedicine
Indro Neil Ghosh,1,* Supriya Deepak Patil,1,* Tarun Kumar Sharma,1,2 Santosh Kumar Srivastava,1 Ranjana Pathania,1 Naveen Kumar Navani11Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 2Center for Biodesign a