Browse our latest Computational and Systems Biology articles

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    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Phenotype inference in an Escherichia coli strain panel

    Marco Galardini et al.
    The mechanistic impact of genetic variants can be combined with previous knowledge on gene function to deliver conditional growth predictions and pave the way for personalized genetic interventions.
    1. Computational and Systems Biology

    Evolutionary dynamics of incubation periods

    Bertrand Ottino-Loffler et al.
    Evolutionary graph theory solves the longstanding puzzle of why diverse infectious diseases and cancers show similar (approximately lognormal) distributions of their incubation periods.
    1. Computational and Systems Biology
    2. Neuroscience

    T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells

    Marcel Beining et al.
    T2N, a novel interface between Matlab, TREES toolbox and NEURON, was used to generate compartmental models that reproduce the electrophysiology of dentate granule cells over a multitude of species, experimental conditions and developmental stages.
    1. Computational and Systems Biology

    Inferring genetic interactions from comparative fitness data

    Kristina Crona et al.
    A new mathematical approach can infer higher order genetic interactions from pairwise fitness comparisons between genotypes.
    1. Biophysics and Structural Biology
    2. Computational and Systems Biology

    Kinesin motility is driven by subdomain dynamics

    Wonmuk Hwang et al.
    The motor protein kinesin utilizes its fuel molecule by active and concerted motions of its subdomains, while it rapidly interacts with the microtubule track by forming a wet and dynamic interface.
    1. Cancer Biology
    2. Computational and Systems Biology

    Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

    Julien Racle et al.
    A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.
    1. Computational and Systems Biology
    2. Neuroscience

    Deep Learning: Branching into brains

    Adam Shai, Matthew Evan Larkum
    What can artificial intelligence learn from neuroscience, and vice versa?.
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    1. Biophysics and Structural Biology
    2. Computational and Systems Biology

    Conformational dynamics in TRPV1 channels reported by an encoded coumarin amino acid

    Ximena Steinberg et al.
    Single-molecule measurement of conformational dynamics using a genetically encoded fluorescent probe suggests that the selectivity filter region of TRPV1 channels undergoes dynamic motion during agonist activation.
    1. Computational and Systems Biology
    2. Neuroscience

    Towards deep learning with segregated dendrites

    Jordan Guerguiev et al.
    A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.