Context-aware and bias-reduced protein protein interaction networks (CoBiNet) is a research project enabled by the Klaus Tschira Foundation and run by FAU (Biomedical Network Science Lab), TUM (Data Science in Systems Biology) and IEO (Computational Cancer Biology Lab). In CoBiNet, we will develop methods to retrieve context-specific and bias-reduced high-resolution protein-protein interaction networks. CoBiNet is split up into three work packages:
HIPPIE v3.0 is online at hippie-db.net!
HIPPIE v3.0 is online with new data, high-confidence negatives, machine learning-ready splits, and a new look. Check it out at…
New preprint: High-confidence non-interacting proteins
Towards reconstruction of the human interactome from positive and negative experimental evidence is now available at bioRxiv at https://doi.org/10.64898/2026.09.09.750397. We…
New preprint: Bias in PPI Datasets
Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets is now available at arXiv…
Konstantin Pelz on research exchange in Milan
Konstantin Pelz has begun his four-month research exchange in Milan, joining the group of Martin Schäfer. This visit will allow…
Judith Bernett joins CoBiNet
Judith Bernett joins CoBiNet as a new scientific researcher at the FAU. She continues Nicolai Meyerhöfer’s work on WP2 (context-specific…
Second annual CoBiNet meeting in Milan
The second annual CoBiNet meeting was held at the IEO in Milan (Italy) from October 9-10, 2025. Teams presented progress…
KINference published
Inference of differential kinase interaction networks with KINference is published in Bioinformatics (https://doi.org/10.1093/bioinformatics/btaf349). KINference combines computation of a baseline kinase…
DIGGER 2.0 published
DIGGER 2.0: digging into the functional impact of differential splicing on human and mouse disorders is published in Nucleic Acids…
Collaboration with UKHD
Konstantin P. met there with Prof. Christoph Dietrich and Dr. Enio Gjerga from University Hospital Heidelberg (UKHD) to foster synergies…
Joel Ås joins CoBiNet
Joel Ås joins CoBiNet as a new scientific researcher at the IEO Milan. He continues the work on WP1 (curation…