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Fletta eftir höfundi "Yurkovich, James T."

Fletta eftir höfundi "Yurkovich, James T."

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    Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine 
    Sigmarsdóttir, Þóra; McGarrity, Sarah; Rolfsson, Óttar; Yurkovich, James T.; Sigurjónsson, Ólafur E. (Frontiers Media SA, 2020-03-31)
    Mesenchymal stem cells are a promising source for externally grown tissue replacements and patient-specific immunomodulatory treatments. This promise has not yet been fulfilled in part due to production scaling issues and the need to maintain the correct ...
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    Elucidating dynamic metabolic physiology through network integration of quantitative time-course metabolomics 
    Bordbar, Aarash; Yurkovich, James T.; Paglia, Giuseppe; Rolfsson, Óttar; Sigurjónsson, Ólafur E.; Palsson, Bernhard O. (Springer Nature, 2017-04-07)
    The increasing availability of metabolomics data necessitates novel methods for deeper data analysis and interpretation. We present a flux balance analysis method that allows for the computation of dynamic intracellular metabolic changes at the cellular ...
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    The quantitative metabolome is shaped by abiotic constraints 
    Akbari, Amir; Yurkovich, James T.; Zielinski, Daniel C.; Pálsson, Bernhard Örn (2021-05-26)
    Living systems formed and evolved under constraints that govern their interactions with the inorganic world. These interactions are definable using basic physico-chemical principles. Here, we formulate a comprehensive set of ten governing abiotic ...
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    Temperature Dependence of Platelet Metabolism 
    Jóhannsson, Freyr; Yurkovich, James T.; Guðmundsson, Steinn; Sigurjónsson, Ólafur Eysteinn; Rolfsson, Óttar (2024-02)
    Temperature plays a fundamental role in biology, influencing cellular function, chemical reaction rates, molecular structures, and interactions. While the temperature dependence of many biochemical reactions is well defined in vitro, the effect of ...
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    Visualizing metabolic network dynamics through time-series metabolomic data 
    Buchweitz, Lea F.; Yurkovich, James T.; Blessing, Christoph; Kohler, Veronika; Schwarzkopf, Fabian; King, Zachary A.; Yang, Laurence; Jóhannsson, Freyr; Sigurjónsson, Ólafur E.; Rolfsson, Óttar; Heinrich, Julian; Dräger, Andreas (Springer Science and Business Media LLC, 2020-04-03)
    Background: New technologies have given rise to an abundance of-omics data, particularly metabolomic data. The scale of these data introduces new challenges for the interpretation and extraction of knowledge, requiring the development of innovative ...