Computational and Systems Biology

Computational and Systems Biology

eLife reviews research involving the use of methods, models and software. Learn more about what we review and sign up for the latest research.
Illustration by Davide Bonazzi

Latest articles

    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology

    Squidly: Enzyme Catalytic Residue Prediction Harnessing a Biology-Informed Contrastive Learning Framework

    William JF Rieger, Mikael Boden ... Ariane Mora
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Convincing
    1. Computational and Systems Biology

    Targeted Computational Design of an Interleukin-7 Superkine with Enhanced Folding Efficiency and Immunotherapeutic Efficacy

    See-Khai Lim, Wen-Ching Lin ... Kurt Yun Mou
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Convincing
    1. Computational and Systems Biology

    Generative modeling for RNA splicing prediction and design

    Di Wu, Natalie Maus ... Yoseph Barash
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Compelling
    1. Computational and Systems Biology
    2. Neuroscience

    Morphogenesis and morphometry of brain folding patterns across species

    Sifan Yin, Chunzi Liu ... L Mahadevan
    The morphogenesis of brain folding patterns across species is studied by physical gel models, simulations, and a quantitative morphometric analysis.
    1. Computational and Systems Biology
    2. Neuroscience

    Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients

    Natasha Ironside, Kareem El Naamani ... VISTA-ICH
    In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.
    1. Neuroscience
    2. Computational and Systems Biology

    Individuality transfer: Predicting human decision-making across task conditions

    Hiroshi Higashi
    Revised
    Reviewed Preprint v2
    Updated
    • Valuable
    • Solid
    1. Computational and Systems Biology
    2. Neuroscience

    Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

    Zitong Lu, Julie Golomb
    Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and artificial neural networks.
    1. Neuroscience
    2. Computational and Systems Biology

    Biologically informed cortical models predict optogenetic perturbations

    Christos Sourmpis, Carl CH Petersen ... Guillaume Bellec
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Compelling
    1. Computational and Systems Biology

    A network regularized linear model to infer spatial expression pattern for single cell

    Chaohao Gu, Hu Chen, Zhandong Liu
    Revised
    Reviewed Preprint v3
    Updated
    • Valuable
    • Convincing

Senior editors

  1. Alan Moses
    University of Toronto, Canada
  2. Aleksandra Walczak
    Ecole Normale Superieure, France
  3. See more editors