Hasil Pencarian - Costas D Maranas

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  1. 1
    A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains

    A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains oleh Ali Khodayari, Costas D. Maranas

    Diterbitkan 2016-12-01
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  2. 2
    Achieving Metabolic Flux Analysis for S. cerevisiae at a Genome-Scale: Challenges, Requirements, and Considerations

    Achieving Metabolic Flux Analysis for S. cerevisiae at a Genome-Scale: Challenges, Requirements, and Considerations oleh Saratram Gopalakrishnan, Costas D. Maranas

    Diterbitkan 2015-09-01
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  3. 3
    GrowMatch: an automated method for reconciling in silico/in vivo growth predictions.

    GrowMatch: an automated method for reconciling in silico/in vivo growth predictions. oleh Vinay Satish Kumar, Costas D Maranas

    Diterbitkan 2009-03-01
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  4. 4
    A Prospective Study on the Fermentation Landscape of Gaseous Substrates to Biorenewables Using Methanosarcina acetivorans Metabolic Model

    A Prospective Study on the Fermentation Landscape of Gaseous Substrates to Biorenewables Using Methanosarcina acetivorans Metabolic Model oleh Hadi Nazem-Bokaee, Costas D. Maranas

    Diterbitkan 2018-08-01
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  5. 5
    OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities.

    OptCom: a multi-level optimization framework for the metabolic modeling and analysis of microbial communities. oleh Ali R Zomorrodi, Costas D Maranas

    Diterbitkan 2012-02-01
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  6. 6
    dGPredictor: Automated fragmentation method for metabolic reaction free energy prediction and de novo pathway design.

    dGPredictor: Automated fragmentation method for metabolic reaction free energy prediction and de novo pathway design. oleh Lin Wang, Vikas Upadhyay, Costas D Maranas

    Diterbitkan 2021-09-01
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  7. 7
    Using Gene Essentiality and Synthetic Lethality Information to Correct Yeast and CHO Cell Genome-Scale Models

    Using Gene Essentiality and Synthetic Lethality Information to Correct Yeast and CHO Cell Genome-Scale Models oleh Ratul Chowdhury, Anupam Chowdhury, Costas D. Maranas

    Diterbitkan 2015-09-01
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  8. 8
    OptMAVEn--a new framework for the de novo design of antibody variable region models targeting specific antigen epitopes.

    OptMAVEn--a new framework for the de novo design of antibody variable region models targeting specific antigen epitopes. oleh Tong Li, Robert J Pantazes, Costas D Maranas

    Diterbitkan 2014-01-01
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  9. 9
    Computational biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity

    Computational biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity oleh Ratul Chowdhury, Veda Sheersh Boorla, Costas D. Maranas

    Diterbitkan 2020-01-01
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  10. 10
    k-OptForce: integrating kinetics with flux balance analysis for strain design.

    k-OptForce: integrating kinetics with flux balance analysis for strain design. oleh Anupam Chowdhury, Ali R Zomorrodi, Costas D Maranas

    Diterbitkan 2014-02-01
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  11. 11
    Zea mays iRS1563: a comprehensive genome-scale metabolic reconstruction of maize metabolism.

    Zea mays iRS1563: a comprehensive genome-scale metabolic reconstruction of maize metabolism. oleh Rajib Saha, Patrick F Suthers, Costas D Maranas

    Diterbitkan 2011-01-01
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  12. 12
    OptMAVEn-2.0: De novo Design of Variable Antibody Regions Against Targeted Antigen Epitopes

    OptMAVEn-2.0: De novo Design of Variable Antibody Regions Against Targeted Antigen Epitopes oleh Ratul Chowdhury, Matthew F. Allan, Costas D. Maranas

    Diterbitkan 2018-06-01
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  13. 13
    OptForce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductions.

    OptForce: an optimization procedure for identifying all genetic manipulations leading to targeted overproductions. oleh Sridhar Ranganathan, Patrick F Suthers, Costas D Maranas

    Diterbitkan 2010-04-01
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  14. 14
    Succinate overproduction: A case study of computational strain design using a comprehensive Escherichia coli kinetic model

    Succinate overproduction: A case study of computational strain design using a comprehensive Escherichia coli kinetic model oleh Ali eKhodayari, Anupam eChowdhury, Costas D Maranas

    Diterbitkan 2015-01-01
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  15. 15
    Modeling Growth Kinetics, Interspecies Cell Fusion, and Metabolism of a <named-content content-type="genus-species">Clostridium acetobutylicum</named-content>/<named-content content-type="genus-species">Clostridium ljungdahlii</named-content> Syntrophic Coculture

    Modeling Growth Kinetics, Interspecies Cell Fusion, and Metabolism of a <named-content content-type="genus-species">Clostridium acetobutylicum</named-content>/<named-content conten... oleh Charles Foster, Kamil Charubin, Eleftherios T. Papoutsakis, Costas D. Maranas

    Diterbitkan 2021-02-01
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  16. 16
    Computationally Exploring and Alleviating the Kinetic Bottlenecks of Anaerobic Methane Oxidation

    Computationally Exploring and Alleviating the Kinetic Bottlenecks of Anaerobic Methane Oxidation oleh Matthew J. Grisewood, James G. Ferry, Costas D. Maranas

    Diterbitkan 2018-07-01
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  17. 17
    Pathway design using de novo steps through uncharted biochemical spaces

    Pathway design using de novo steps through uncharted biochemical spaces oleh Akhil Kumar, Lin Wang, Chiam Yu Ng, Costas D. Maranas

    Diterbitkan 2018-01-01
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  18. 18
    SteadyCom: Predicting microbial abundances while ensuring community stability.

    SteadyCom: Predicting microbial abundances while ensuring community stability. oleh Siu Hung Joshua Chan, Margaret N Simons, Costas D Maranas

    Diterbitkan 2017-05-01
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  19. 19
    A review of computational tools for design and reconstruction of metabolic pathways

    A review of computational tools for design and reconstruction of metabolic pathways oleh Lin Wang, Satyakam Dash, Chiam Yu Ng, Costas D. Maranas

    Diterbitkan 2017-12-01
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  20. 20
    From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline.

    From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline. oleh Charles J Foster, Saratram Gopalakrishnan, Maciek R Antoniewicz, Costas D Maranas

    Diterbitkan 2019-09-01
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