Predictions in all categories are evaluated against reference structures released by the PDB on a weekly basis.
CAMEO continuously applies quality assessment criteria established by the protein structure prediction community. Since the accuracy requirements for different scientific applications vary, there is no "one fits all" score. CAMEO therefore offers a variety of scores - assessing different aspects of a prediction (coverage, local accuracy, completeness, etc.) to reflect these requirements.
CAMEO is a community project - please feel free to suggest additional/alternative ways how CAMEO can support users and developers of structure prediction.
We invite developers of prediction methods to participate in the continuous evaluation by registering their servers [REGISTER]. We also invite developers of scoring and evaluation methods to suggest alternative scoring schemes. Please contact us directly.
Servers of the following groups are registered so far:
A. Sali, L. McGuffin, T. Schwede, J. Soeding, D. Baker, A. Fiser, M. Sternberg, Y. Zhang, C. Floudas, S. Tosatto, J. Xu, Y. Zhou, O. Brock, B. Wallner, A. Eloffson, D. Labudde, C. Venclovas, J. Cheng, O. Taştan Bishop, Y. An-Suei, T. Sosnick, C. Kaesar.
When publishing any results obtained from the CAMEO server, you agree to cite the appropriate reference: Haas J., Roth S., Arnold K., Kiefer F., Schmidt T., Bordoli L. and Schwede T.(2013). The Protein Model Portal - a comprehensive resource for protein structure and model information. Database [PMID: 23624946].
Evaluation of “private” or “development” servers is provided exclusively for development purposes. You acknowledge that such results can only be published after marking the complete dataset as “public” on CAMEO.
CAMEO is developed by the Computational Structural Biology Group at the Swiss Institute of Bioinformatics (SIB) and the Biozentrum of the University of Basel. CAMEO is partially supported by the SIB Swiss Institute of Bioinformatics and by grant U01 GM093324-01 from the National Institute of General Medical Sciences.