QSProteome: a community-driven interactive platform for large-scale exploration and evaluation of predicted protein complex structures
QSProteome (https://QSProteome.org) is a community-scale platform for modeling, evaluating, and refining quaternary protein structure. The resource hosts 35 528 unique modeled assemblies spanning over 42 000 genes, covering nearly all curated complexes in BioCyc and ComplexPortal databases. Each model is displayed on an interactive page with 3D visualization, chain-level confidence metrics, structural alignments, functional annotations, and automated stoichiometry checks against database expectations. A cloud-based server supports continuous user uploads and automated processing pipelines-enabling submission and validation of >54 000 models within 14 weeks. To promote iterative refinement, QSProteome includes a gamified re-curation workflow that transitions users from training modules into live curation, enabling the community-led assessment of 1547 ABC transporter complexes. Together, these components form a dynamic, scalable infrastructure for proteome-scale structural biology. By unifying modeling, validation, and annotation in a reusable, searchable, and community-extensible framework, QSProteome enables proteome-scale structure accessibility and reuse-powering discovery, annotation, and collaborative refinement across the structural biology community.
Authors
- Martin Hofmann (ORCID: https://orcid.org/0000-0002-4440-3317)
- Luc Marchal (ORCID: https://orcid.org/0000-0003-3828-1867)
- Edward Catoiu (ORCID: https://orcid.org/0000-0001-8680-7291)
- Bernhard Ø. Palsson (ORCID: https://orcid.org/0000-0003-2357-6785)
- Beatriz L. Rodríguez (ORCID: https://orcid.org/0000-0002-6728-7718)
- Bram Ton (ORCID: https://orcid.org/0000-0002-9525-5633)
- Jay Shah (ORCID: https://orcid.org/0000-0002-1187-5430)
- Jeffrey A. Nichols (ORCID: https://orcid.org/0000-0001-5454-9726)
- Ziheng Wang (ORCID: https://orcid.org/0000-0002-3953-0493)
- R. Ayoub
- Ishita Gupta
- Keerthana Ananda
- Avani Tantry
- Robin Anwyl (ORCID: https://orcid.org/0009-0008-7528-0365)
- Carter Faucher
- Delina Kambo
- Krista Vear
- June Akpata
Institutions
- Novo Nordisk Foundation (DK)
- University of California San Diego (US)
- La Jolla Bioengineering Institute (US)
- Technical University of Denmark (DK)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1093/nar/gkaf1099
- Citations
- 1
- Primary Topic
- Protein Structure and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Novo Nordisk
- Novo Nordisk Fonden
- National Institutes of Health