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Computational docking is a promising tool to model three-dimensional (3D) structures of protein-protein complexes, which provides fundamental insights of protein functions in the cellular life. Singling out near-native models from the huge pool of generated docking models (referred to as the scoring problem) remains as a major challenge in computational docking. We recently published iScore, a novel graph kernel based scoring function. iScore ranks docking models based on their interface graphdoi:10.1016/j.softx.2020.100462 pmid:35419466 pmcid:PMC9005067 fatcat:qbxbq627wjdilf4vzhdza3auuy