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. 2015 Nov 23;15:23. doi: 10.1186/s12900-015-0050-4

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© Maheshwari and Brylinski. 2015

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — Performance of eRank^PPI, ZDOCK and ZRANK on the BM1755 dataset. Ranking accuracy is assessed by the percentage of successful cases based on a, e, i iRMSD and b, f, j PCS, c, g, k the hit count, and d, h, l the success rate. Each algorithm is evaluated against a-d experimental structures, as well as e-h high-quality and i-l moderate-quality protein models. Black dashed lines shown for the percentage of successful cases correspond to the upper bound estimated by taking the best of all 2000 models constructed for each target