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. 2018 Jul 2;8:9939. doi: 10.1038/s41598-018-26812-8

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Comparison of GDT_HA differences between top model in each step of the refinement pipeline and the original model provided by the CASP11 organizers for each target. The steps are identified by color bars representing the difference between the GDT_HA of the starting model and the GDT_HA of (1) the best model among those generated by Foldit players (Foldit-All), (2) the best model among the clusters (Foldit-Cluster), (3) the best model among the clusters refined by KoBaMIN (Foldit-Koba), (4) the best selection by McGuffin (K-McG), (5) the best selection by Wallner/ProQ2 (BW-Kb-BW), (6) the best selection by SVLab of KoBaMIN-refined clusters (Koba-SVlab), and (7) the best selection by SVLab based on unrefined clusters (Clusters-SVLab).