Publicaciones en colaboración con investigadores/as de Chalmers University of Technology (29)

2023

  1. Life cycle assessment applied to a self-healing elastomer filled with ground tire rubber

    Journal of Cleaner Production, Vol. 419

2017

  1. Symmetries and nonequilibrium thermodynamics

    Physical Review E, Vol. 95, Núm. 6

  2. Transcriptional hallmarks of cancer cell lines reveal an emerging role of branched chain amino acid catabolism

    Scientific Reports, Vol. 7, Núm. 1

2015

  1. Controllability analysis of transcriptional regulatory networks reveals circular control patterns among transcription factors

    Integrative Biology (United Kingdom), Vol. 7, Núm. 5, pp. 560-568

  2. Non-small cell lung cancer is characterized by dramatic changes in phospholipid profiles

    International Journal of Cancer, Vol. 137, Núm. 7, pp. 1539-1548

2014

  1. Gcn4p and the Crabtree effect of yeast: Drawing the causal model of the Crabtree effect in Saccharomyces cerevisiae and explaining evolutionary trade-offs of adaptation to galactose through systems biology

    FEMS Yeast Research, Vol. 14, Núm. 4, pp. 654-662

  2. Genome-Scale Metabolic Models: A Link between Bioinformatics and Systems Biology

    Comprehensive Biomedical Physics (Elsevier), pp. 165-173

2013

  1. A community-driven global reconstruction of human metabolism

    Nature Biotechnology, Vol. 31, Núm. 5, pp. 419-425

  2. Experimental evidence suggests the existence of evolutionary conserved global operation principles governing microbial metabolism

    Scientific Reports, Vol. 3, pp. 1-7

  3. Genome-Scale Modeling of the Protein Secretory Machinery in Yeast

    PLoS ONE, Vol. 8, Núm. 5

  4. Mapping condition-dependent regulation of metabolism in yeast through genome-scale modeling

    BMC Systems Biology, Vol. 7

  5. Mapping global effects of the anti-sigma factor MucA in Pseudomonas fluorescens SBW25 through genome-scale metabolic modeling

    BMC Systems Biology, Vol. 7

  6. Metabolic and protein interaction sub-networks controlling the proliferation rate of cancer cells and their impact on patient survival

    Scientific Reports, Vol. 3

  7. Understanding the interactions between bacteria in the human gut through metabolic modeling

    Scientific Reports, Vol. 3

2012

  1. Dynamic 13C-labeling experiments prove important differences in protein turnover rate between two Saccharomyces cerevisiae strains

    FEMS Yeast Research, Vol. 12, Núm. 7, pp. 741-747

  2. Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT

    PLoS Computational Biology, Vol. 8, Núm. 5

2011

  1. A metabolic network of a phosphate-accumulating organism provides new insights into enhanced biological phosphorous removal

    Water Science and Technology, Vol. 64, Núm. 12, pp. 2410-2416

  2. Codon usage variability determines the correlation between proteome and transcriptome fold changes

    BMC Systems Biology, Vol. 5

  3. Mathematical models of cell factories: Moving towards the core of industrial biotechnology

    Microbial Biotechnology

  4. Modeling of VOC mass transfer in two-liquid phase stirred tank, biotrickling filter and airlift reactors

    Chemical Engineering Journal, Vol. 172, Núm. 2-3, pp. 961-969