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Sheng-You Huang and Xiaoqin Zou A nonredundant structure dataset for benchmarking protein-RNA computational docking Journal of Computational Chemistry 34

Version of Record online: 10 OCT 2012 | DOI: 10.1002/jcc.23149

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A novel non-redundant, diverse benchmark dataset is developed for protein-RNA docking and scoring. The dataset is classi- fied into three categories according to the interface RMSD and the percentage of native contacts in the unbound structures: 49 easy, 16 medium, and 7 difficult targets. The bound and unbound cases of the benchmark dataset are expected to bene- fit the development and improvement of docking and scoring algorithms for the docking community.

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