Browse our latest Computational and Systems Biology articles

Page 113 of 130
    1. Computational and Systems Biology

    Design principles of autocatalytic cycles constrain enzyme kinetics and force low substrate saturation at flux branch points

    Uri Barenholz, Dan Davidi ... Ron Milo
    The stability of metabolic autocatalytic cycles that are widespread in central metabolism limits the affinities of enzymes at flux branch points and explains excess expression of these enzymes.
    1. Computational and Systems Biology
    2. Epidemiology and Global Health

    Modelling primaquine-induced haemolysis in G6PD deficiency

    James Watson, Walter RJ Taylor ... Nicholas J White
    In silico modelling of all available data shows that a twenty-day ascending-dose primaquine regimen could be safe to administer to G6PD deficient patients for the radical cure of vivax malaria.
    1. Computational and Systems Biology

    Selecting the most appropriate time points to profile in high-throughput studies

    Michael Kleyman, Emre Sefer ... Ziv Bar-Joseph
    The Time Point Selection (or TPS) method is a general protocol for determining sampling rates for high throughout time series biological studies, that is efficient, cheap, scalable and works well for several different types of molecular data.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Intracellular growth of Mycobacterium tuberculosis after macrophage cell death leads to serial killing of host cells

    Deeqa Mahamed, Mikael Boulle ... Alex Sigal
    The rapid killing of macrophages by Mycobacterium tuberculosis aggregates, and the subsequent proliferation of the bacteria inside the dead cell, leads to a cell death cascade and explains the coupling of necrosis and pathogen growth observed in active disease.
    1. Computational and Systems Biology
    2. Ecology

    Nomadic-colonial life strategies enable paradoxical survival and growth despite habitat destruction

    Zhi Xuan Tan, Kang Hao Cheong
    By modelling organisms that alternate between individual and colonial lifestyles, the well-known Parrondo's paradox can emerge in an ecological setting without the need for stochastic environmental variation.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Operon mRNAs are organized into ORF-centric structures that predict translation efficiency

    David H Burkhardt, Silvi Rouskin ... Carol A Gross
    Operonic mRNAs in bacteria are comprised of ORF (open reading frame)-wide units of secondary structure, which are intrinsically distinct between adjacent ORFs and encode a rough blueprint for ORF-specific translation efficiency.
    1. Computational and Systems Biology
    2. Neuroscience

    Blood transcriptome based biomarkers for human circadian phase

    Emma E Laing, Carla S Möller-Levet ... Derk-Jan Dijk
    An unbiased modelling approach shows that only a few blood transcriptome samples are required to accurately assess the human circadian melatonin phase, even during altered sleep schedules.
    1. Computational and Systems Biology
    2. Neuroscience

    Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit

    Marianne J Bezaire, Ivan Raikov ... Ivan Soltesz
    Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    A long-term epigenetic memory switch controls bacterial virulence bimodality

    Irine Ronin, Naama Katsowich ... Nathalie Q Balaban
    Hysteretic switching between virulence states has been observed in a human pathogen.
    1. Computational and Systems Biology
    2. Neuroscience

    Genetic control of encoding strategy in a food-sensing neural circuit

    Giovanni Diana, Dhaval S Patel ... QueeLim Ch'ng
    Building on previous work (Entchev et al, 2015), computational analyses reveal that the choice between redundant versus synergistic encoding in a gene expression code for food abundance is controlled by cross-talk and auto-regulation among TGF-beta and serotonin pathways.