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- W3124879967 abstract "This is the most complete and diverse protein docking decoys set derived from the Benchmark5, Scorers_set. We used three different rigid-body docking programs to generate the decoys for the Bechmark5. We analyzed all docking decoys with more than 150 different scoring functions from different sources ( CCharppi, FreeSASA, CIPS, CONSRANK). We provide a balanced and unbalanced version of the data. This balanced data is intended for the training and test of machine learning algorithms. the unbalanced data is provided to simulated the real-world scenario. We also provide a set of rigid-body docking decoys from Interactome3D that spans 1391 interactions. We obtained the labels for this set using a weakly-supervised approach we called hAIkal. We used this data to augment the train data and improve machine learning classifiers." @default.
- W3124879967 created "2021-02-01" @default.
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- W3124879967 date "2021-01-20" @default.
- W3124879967 modified "2023-10-16" @default.
- W3124879967 title "Protein-protein interactions decoys datasets for machine learning algorithm development" @default.
- W3124879967 doi "https://doi.org/10.25781/kaust-dn0kr" @default.
- W3124879967 hasPublicationYear "2021" @default.
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