9,318 results found
    1. Cell Biology
    2. Computational and Systems Biology

    Evaluation of predictions of the stochastic model of organelle production based on exact distributions

    C Jeremy Craven
    A reanalysis of the stochastic model of organelle production (Mukherji and O'Shea, 2014) suggests that this model requires significant further discussion.
    1. Neuroscience

    A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

    Masahiro Yamashita et al.
    Human neuroimaging and machine learning reveals a generalizable relationship between brain connectivity and working memory ability across healthy populations and distinct psychiatric diagnoses.
    1. Structural Biology and Molecular Biophysics

    Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis

    Anusmita Sahoo et al.
    Experimental determination of residue contacts from mutational data allows model discrimination and identification of in vivo functional conformations of proteins.
    1. Structural Biology and Molecular Biophysics
    2. Evolutionary Biology

    Large-scale determination of previously unsolved protein structures using evolutionary information

    Sergey Ovchinnikov et al.
    A new method of protein structure prediction that incorporates residue–residue co-evolution information into the Rosetta structure prediction program was used to develop models for 58 large protein families that had no previous structural information.
    1. Computational and Systems Biology
    2. Neuroscience

    Temporal pattern and synergy influence activity of ERK signaling pathways during L-LTP induction

    Nadiatou T Miningou Zobon et al.
    ERK activation during induction of long-term synaptic plasticity is enhanced by synergistic interactions among signaling pathways mediated by the synaptically located GTPase-activating protein, and each pathway contributes to different ERK temporal dynamics.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Modeling the metabolic interplay between a parasitic worm and its bacterial endosymbiont allows the identification of novel drug targets

    David M Curran et al.
    A genome scale model of Brugia malayi metabolism illustrates a dynamic reliance on energy production pathways across its life cycle and identifies new drugs with experimentally supported anti-parasitic properties.
    1. Computational and Systems Biology
    2. Developmental Biology

    High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals

    Luciano Marcon et al.
    Realistic reaction-diffusion signaling networks that include cell-autonomous factors can robustly form self-organizing spatial patterns for any combination of diffusion coefficients without requiring differential diffusivity.
    1. Cell Biology
    2. Computational and Systems Biology

    Artistoo, a library to build, share, and explore simulations of cells and tissues in the web browser

    Inge MN Wortel, Johannes Textor
    By letting users build interactive simulations directly in a web browser, Artistoo unlocks new ways to communicate, teach, and collaborate in computational biology research.
    1. Computational and Systems Biology

    Ecological feedback in quorum-sensing microbial populations can induce heterogeneous production of autoinducers

    Matthias Bauer et al.
    Quorum sensing enables heterogeneous production of autoinducers in microbial populations, suggesting an alternative mechanism to stochastic gene expression in bistable gene-regulatory circuits to control phenotypic heterogeneity.
    1. Biochemistry and Chemical Biology

    Extensive site-directed mutagenesis reveals interconnected functional units in the alkaline phosphatase active site

    Fanny Sunden et al.
    Conventional studies have focused on enzymatic residues directly involved in catalysis; dissecting a potential interaction network within which these ‘catalytic residues’ are embedded provides insights fundamental to enzyme function, evolution, and engineering.

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