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https://www.cameo3d.org/ CAMEO (Continuous Automated Model EvalutatiOn) is a community project to continuously evaluate the accuracy and reliability of 3D complex structure predictions. Developed by @sib.swiss and @biozentrum.unibas.ch.
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And the full DOI link is here: doi.org/10.1038/s415...
💡Note: these are sequences where the only template available is < 40% sequence identity, making it already a stricter scenario than usual splits with 2021 training cutoffs.
We looked at 3891 past CAMEO targets (January 2020 to April 2024). We plotted the LDDT of homology-based SWISS-MODEL prediction against the sequence identity of the top BLAST template, filtering for hits with at least 80% coverage of the target sequence.
Filtering out homologous structures from the PDB at 40% sequence identity is not enough to create a robust test set. Significant leakage persists at this level, and comparative modeling can still produce high quality models.
Even at 40% sequence identity, SWISS-MODEL models have an LDDT greater than 0.7 on average. If you want to build a meaningful validation set without leakage, you need to adopt a significantly more stringent criterion.
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Runs N' Poses is a great example of how to rigorously filter protein–ligand complexes for structural similarity: www.biorxiv.org/content/10.1....
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🔬 Workshop: Future of Structure Prediction Benchmarking 📅 Sept 8, 2025 | Basel 💡 Talks + breakout sessions on #CASP #CAPRI #CAMEO & benchmarking for drug discovery 🎟️ Free registration (limited spots): lu.ma/ws9nu1xf Join us to explore how benchmarking can drive breakthroughs in structure prediction.
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🚀 New paper in @natmethods.nature.com! We present OpenStructure's powerful scoring capabilities, used to assess predictionsin CAMEO and CASP. Read the full study here: 🔗 doi.org/10.1038/s415... #StructuralBiology #Bioinformatics #OpenStructure #CASP #CAMEO #ProteinStructure
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