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Showing 1–2 of 2 results
Advanced filters: Author: Balaguru Ravikumar Clear advanced filters

  • The IDG-DREAM Challenge carried out crowdsourced benchmarking of predictive algorithms for kinase inhibitor activities on unpublished data. This study provides a resource to compare emerging algorithms and prioritize new kinase activities to accelerate drug discovery and repurposing efforts.

    • Anna Cichońska
    • Balaguru Ravikumar
    • Tero Aittokallio
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-18

  • This study presents a method that enhances compound bioactivity modeling by integrating diverse data types, enabling cost-effective training data generation. In experimental testing, the best model achieves a 40% hit rate and a negative predictive value of 78%.

    • Ryan Theisen
    • Tianduanyi Wang
    • Anna Cichońska
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12