525 results found
    1. Cell Biology
    2. Human Biology and Medicine

    Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer

    Keren Yizhak et al.
    Genome-scale metabolic modeling of individual cancer cells and healthy human cells identifies specific and selective metabolic vulnerabilities.
  1. Modelling metabolism: an interview with Keren Yizhak

    Keren Yizhak majored in computational biology at the Hebrew University of Jerusalem and is currently a PhD student at the School of Computer Science at Tel-Aviv University, where she uses computational techniques to study biological phenomena, focusing on the metabolic changes that occur in cells during cancer and ageing. She will move to the Broad Institute at Harvard and MIT in March 2015 to begin her first postdoctoral position. Her main interest outside of science is ballet dancing, which she finds a source of inspiration and discipline.
    1. Computational and Systems Biology

    Synthetic Biology: Minimal cells, maximal knowledge

    Jean-Christophe Lachance et al.
    Modeling all the chemical reactions that take place in a minimal cell will help us to understand the fundamental interactions that power life.
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    1. Computational and Systems Biology

    Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome

    David B Bernstein et al.
    A novel metabolic network analysis method enables large-scale computational predictions of biosynthetic capabilities across the human oral microbiome, revealing a unique cluster of fastidious microorganisms and potential metabolic interdependencies.
    1. Biochemistry and Chemical Biology
    2. Human Biology and Medicine

    Quantitative determinants of aerobic glycolysis identify flux through the enzyme GAPDH as a limiting step

    Alexander A Shestov et al.
    A new computational model of the Warburg Effect reveals that the rate-limiting step of glycolysis is variable, identifies new control mechanisms, and could help to predict the responses to targeting glycolysis to treat cancer.
    1. Structural Biology and Molecular Biophysics
    2. Computational and Systems Biology

    Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm

    Isseki Yu et al.
    Crowding and metabolites in a simulated cellular environment alter protein conformations, modulate interactions of functionally related proteins, and lead to significant dynamic heterogeneity.
    1. Cell Biology
    2. Computational and Systems Biology

    Saccharomyces cerevisiae goes through distinct metabolic phases during its replicative lifespan

    Simeon Leupold et al.
    With replicative age, S. cerevisiae shifts from a fermentative towards an unusual respiratory metabolism, accompanied by a decrease in growth and glucose uptake rate.
    1. Computational and Systems Biology

    Calibration and analysis of genome-based models for microbial ecology

    Stilianos Louca, Michael Doebeli
    A novel computation tool for microbial community modeling predicts the evolution and diversification of E. coli in laboratory evolution experiments and gives insight into the underlying metabolic processes.
    1. Computational and Systems Biology
    2. Plant Biology

    Evolution of C4 photosynthesis predicted by constraint-based modelling

    Mary-Ann Blätke, Andrea Bräutigam
    Constraint-based modelling predicts C4 photosynthesis evolves under resource limitation from an ancestral ground state of C3 photosynthesis and attributes divergent metabolic routes in extant C4 subtypes to light.
    1. Computational and Systems Biology

    The kinetics of pre-mRNA splicing in the Drosophila genome and the influence of gene architecture

    Athma A Pai et al.
    Surprising connections between gene architecture and splicing kinetics are illuminated using short, progressive metabolic labeling/RNA sequencing and novel computational modeling approaches in Drosophila cells.

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