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Continuous Automated Model Evaluation (CAMEO) Complementing the Critical Assessment of Structure Prediction in CASP12

Haas, Jürgen and Barbato, Alessandro and Behringer, Dario and Studer, Gabriel and Roth, Steven and Bertoni, Martino and Mostaguir, Khaled and Gumienny, Rafal and Schwede, Torsten. (2018) Continuous Automated Model Evaluation (CAMEO) Complementing the Critical Assessment of Structure Prediction in CASP12. Proteins, 86 Suppl 1. pp. 387-398.

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Official URL: https://edoc.unibas.ch/62569/

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Abstract

Every second year, the community experiment "Critical Assessment of Techniques for Structure Prediction" (CASP) is conducting an independent blind assessment of structure prediction methods, providing a framework for comparing the performance of different approaches and discussing the latest developments in the field. Yet, developers of automated computational modeling methods clearly benefit from more frequent evaluations based on larger sets of data. The "Continuous Automated Model EvaluatiOn (CAMEO)" platform complements the CASP experiment by conducting fully automated blind prediction assessments based on the weekly pre-release of sequences of those structures, which are going to be published in the next release of the PDB Protein Data Bank. CAMEO publishes weekly benchmarking results based on models collected during a four-day prediction window, on average assessing ca. 100 targets during a time frame of five weeks. CAMEO benchmarking data is generated consistently for all participating methods at the same point in time, enabling developers to benchmark and cross-validate their method's performance, and directly refer to the benchmarking results in publications. In order to facilitate server development and promote shorter release cycles, CAMEO sends weekly email with submission statistics and low performance warnings. Many participants of CASP have successfully employed CAMEO when preparing their methods for upcoming community experiments. CAMEO offers a variety of scores to allow benchmarking diverse aspects of structure prediction methods. By introducing new scoring schemes, CAMEO facilitates new development in areas of active research, e.g. modeling quaternary structure, complexes or ligand binding sites. This article is protected by copyright. All rights reserved.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (Schwede)
UniBasel Contributors:Schwede, Torsten and Barbato, Alessandro and Behringer, Dario and Studer, Gabriel and Roth, Steven and Gumienny, Rafal Wojciech and Haas, Jürgen
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1097-0134
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:28 Apr 2020 09:24
Deposited On:28 Apr 2020 09:24

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