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Showing 1–4 of 4 results
Advanced filters: Author: Julian Matschinske Clear advanced filters

  • Information developed to understand the molecular mechanisms of SARS-CoV-2 infection for predicting drug repurposing candidates is time-consuming to integrate and explore. Here, the authors develop an interactive online platform for virus-host interactome exploration and drug (target) identification.

    • Sepideh Sadegh
    • Julian Matschinske
    • Jan Baumbach
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9

  • In this Resource, the authors present FedProt, a tool that enables privacy-preserving, federated differential protein abundance analysis across multiple institutions. Its results match the results of centralized analysis, enabling secure, collaborative proteomics without sensitive data sharing.

    • Yuliya Burankova
    • Miriam Abele
    • Olga Zolotareva
    ResearchOpen Access
    Nature Computational Science
    Volume: 5, P: 675-688

  • Computational approaches for drug repurposing can accelerate the identification of treatments during a pandemic. In this Review, the authors discuss this topic in the context of COVID-19 and propose a strategy to make computational drug repurposing more effective in future pandemics.

    • Gihanna Galindez
    • Julian Matschinske
    • Josch Konstantin Pauling
    Reviews
    Nature Computational Science
    Volume: 1, P: 33-41

  • We present the AIMe registry, a community-driven reporting platform for AI in biomedicine. It aims to enhance the accessibility, reproducibility and usability of biomedical AI models, and allows future revisions by the community.

    • Julian Matschinske
    • Nicolas Alcaraz
    • David B. Blumenthal
    Comments & Opinion
    Nature Methods
    Volume: 18, P: 1128-1131