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Connection

Michael Henson to Computer Simulation

This is a "connection" page, showing publications Michael Henson has written about Computer Simulation.
Connection Strength

2.211
  1. Patel A, Carlson RP, Henson MA. In Silico Metabolic Design of Two-Strain Biofilm Systems Predicts Enhanced Biomass Production and Biochemical Synthesis. Biotechnol J. 2019 Jul; 14(7):e1800511.
    View in: PubMed
    Score: 0.512
  2. Henson MA, Phalak P. Microbiota dysbiosis in inflammatory bowel diseases: in silico investigation of the oxygen hypothesis. BMC Syst Biol. 2017 12 28; 11(1):145.
    View in: PubMed
    Score: 0.465
  3. Hanly TJ, Henson MA. Dynamic flux balance modeling of microbial co-cultures for efficient batch fermentation of glucose and xylose mixtures. Biotechnol Bioeng. 2011 Feb; 108(2):376-85.
    View in: PubMed
    Score: 0.288
  4. Mhaskar P, Hjorts? MA, Henson MA. Cell population modeling and parameter estimation for continuous cultures of Saccharomyces cerevisiae. Biotechnol Prog. 2002 Sep-Oct; 18(5):1010-26.
    View in: PubMed
    Score: 0.161
  5. Henson MA. Computational modeling of the gut microbiota reveals putative metabolic mechanisms of recurrent Clostridioides difficile infection. PLoS Comput Biol. 2021 02; 17(2):e1008782.
    View in: PubMed
    Score: 0.145
  6. Chen J, Henson MA. In silico metabolic engineering of Clostridium ljungdahlii for synthesis gas fermentation. Metab Eng. 2016 11; 38:389-400.
    View in: PubMed
    Score: 0.107
  7. Kolewe ME, Roberts SC, Henson MA. A population balance equation model of aggregation dynamics in Taxus suspension cell cultures. Biotechnol Bioeng. 2012 Feb; 109(2):472-82.
    View in: PubMed
    Score: 0.075
  8. Vasalou C, Henson MA. A multiscale model to investigate circadian rhythmicity of pacemaker neurons in the suprachiasmatic nucleus. PLoS Comput Biol. 2010 Mar 12; 6(3):e1000706.
    View in: PubMed
    Score: 0.068
  9. Hjersted JL, Henson MA. Steady-state and dynamic flux balance analysis of ethanol production by Saccharomyces cerevisiae. IET Syst Biol. 2009 May; 3(3):167-79.
    View in: PubMed
    Score: 0.064
  10. Venkatasubramanian R, Henson MA, Forbes NS. Integrating cell-cycle progression, drug penetration and energy metabolism to identify improved cancer therapeutic strategies. J Theor Biol. 2008 Jul 07; 253(1):98-117.
    View in: PubMed
    Score: 0.059
  11. Bold KA, Zou Y, Kevrekidis IG, Henson MA. An equation-free approach to analyzing heterogeneous cell population dynamics. J Math Biol. 2007 Sep; 55(3):331-52.
    View in: PubMed
    Score: 0.055
  12. Hjersted JL, Henson MA. Optimization of fed-batch Saccharomyces cerevisiae fermentation using dynamic flux balance models. Biotechnol Prog. 2006 Sep-Oct; 22(5):1239-48.
    View in: PubMed
    Score: 0.053
  13. Henson MA. Dynamic modeling of microbial cell populations. Curr Opin Biotechnol. 2003 Oct; 14(5):460-7.
    View in: PubMed
    Score: 0.043
  14. Psarellis YM, Kavousanakis M, Henson MA, Kevrekidis IG. Limits of entrainment of circadian neuronal networks. Chaos. 2023 Jan; 33(1):013137.
    View in: PubMed
    Score: 0.041
  15. Carlson RP, Beck AE, Phalak P, Fields MW, Gedeon T, Hanley L, Harcombe WR, Henson MA, Heys JJ. Competitive resource allocation to metabolic pathways contributes to overflow metabolisms and emergent properties in cross-feeding microbial consortia. Biochem Soc Trans. 2018 04 17; 46(2):269-284.
    View in: PubMed
    Score: 0.029
  16. Venkatasubramanian R, Arenas RB, Henson MA, Forbes NS. Mechanistic modelling of dynamic MRI data predicts that tumour heterogeneity decreases therapeutic response. Br J Cancer. 2010 Aug 10; 103(4):486-97.
    View in: PubMed
    Score: 0.017
  17. Kambam PK, Henson MA, Sun L. Design and mathematical modelling of a synthetic symbiotic ecosystem. IET Syst Biol. 2008 Jan; 2(1):33-8.
    View in: PubMed
    Score: 0.015
  18. Hjersted JL, Henson MA, Mahadevan R. Genome-scale analysis of Saccharomyces cerevisiae metabolism and ethanol production in fed-batch culture. Biotechnol Bioeng. 2007 Aug 01; 97(5):1190-204.
    View in: PubMed
    Score: 0.014
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.