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license: mit |
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# Otter DUDe Dataset Card |
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Otter DUDe includes 1,452,568 instances of drug-target interactions. |
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## Dataset details |
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#### DUDe |
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DUDe comprises a collection of 22,886 active compounds and their corresponding affinities towards 102 targets. For our study, we utilized a preprocessed version of the DUDe, which includes 1,452,568 instances of drug-target interactions. To prevent any data leakage, we eliminated the negative interactions and the overlapping triples with the TDC DTI dataset. As a result, we were left with a total of 40,216 drug-target interaction pairs. |
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**Original dataset:** |
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- Citation: Samuel Sledzieski, Rohit Singh, Lenore Cowen, and Bonnie Berger. Adapting protein language models for rapid dti prediction. bioRxiv, pages 2022–11, 2022 |
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**Paper or resources for more information:** |
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- [GitHub Repo](https://github.com/IBM/otter-knowledge) |
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- [Paper](https://arxiv.org/abs/2306.12802) |
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**License:** |
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MIT |
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**Where to send questions or comments about the dataset:** |
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- [GitHub Repo](https://github.com/IBM/otter-knowledge) |
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**Models trained on Otter UBC** |
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- [ibm/otter_dude_classifier](https://huggingface.co/ibm/otter_dude_classifier) |
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- [ibm/otter_dude_distmult](https://huggingface.co/ibm/otter_dude_distmult) |
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- [ibm/otter_dude_transe](https://huggingface.co/ibm/otter_dude_transe) |
