Computational and Systems Biology

Computational and Systems Biology

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Latest articles

    1. Computational and Systems Biology
    2. Evolutionary Biology

    Heterogeneity of the GFP fitness landscape and data-driven protein design

    Louisa Gonzalez Somermeyer et al.
    Orthologous proteins display different mutational robustness that can be leveraged to improve prediction of functional sequences.
    1. Computational and Systems Biology
    2. Evolutionary Biology

    Machine Learning: Lighting up protein design

    Grzegorz Kudla, Marcin Plech
    Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.
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    1. Computational and Systems Biology
    2. Genetics and Genomics

    Comparative multi-tissue profiling reveals extensive tissue-specificity in transcriptome reprogramming during thermal adaptation

    Noushin Hadadi et al.
    Integrative analysis of multi-tissue transcriptomics data of mice subjected to cold, mild warm or room temperature places the thermal adaptation of individual tissues in a whole-organism perspective.
    1. Computational and Systems Biology
    2. Developmental Biology

    Efficient differentiation of human primordial germ cells through geometric control reveals a key role for Nodal signaling

    Kyoung Jo et al.
    Highly reproducible and efficient human primordial germ cell differentiation was achieved through geometric confinement, which enabled quantitative dissection of the cell signaling driving this differentiation, revealing a major role of Wnt signaling is indirect by inducing Nodal signaling.
    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology

    Genetic variation of putative myokine signaling is dominated by biological sex and sex hormones

    Leandro M Velez et al.
    Genetic architecture of muscle secreted protein functions are dominated by sex.
    1. Computational and Systems Biology
    2. Physics of Living Systems

    Conformist social learning leads to self-organised prevention against adverse bias in risky decision making

    Wataru Toyokawa, Wolfgang Gaissmaier
    Mathematical modelling and large-scale online experiments revealed that learning from others can induce 'smarter' decisions even when most individuals are biased towards adverse risk aversion.
    1. Computational and Systems Biology

    Learning cortical representations through perturbed and adversarial dreaming

    Nicolas Deperrois et al.
    A cortical model inspired by cognitive theories and deep learning demonstrates how the combination of wakefulness, non-rapid eye movement (NREM), and REM dreams leads to the emergence of robust and semantically organized neuronal representations in higher cortical areas.

Senior editors

  1. Naama Barkai
    Naama Barkai
    Weizmann Institute of Science, Israel
  2. Christian R Landry
    Université Laval, Canada
  3. Aleksandra Walczak
    Ecole Normale Superieure, France
  4. See more editors