Datasets:
ArXiv:
License:
| license: mit | |
| # Otter DUDe Dataset Card | |
| Otter DUDe includes 1,452,568 instances of drug-target interactions. | |
| ## Dataset details | |
| #### DUDe | |
| 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. | |
| **Original dataset:** | |
| - Citation: Samuel Sledzieski, Rohit Singh, Lenore Cowen, and Bonnie Berger. Adapting protein language models for rapid dti prediction. bioRxiv, pages 2022–11, 2022 | |
| **Paper or resources for more information:** | |
| - [GitHub Repo](https://github.com/IBM/otter-knowledge) | |
| - [Paper](https://arxiv.org/abs/2306.12802) | |
| **License:** | |
| MIT | |
| **Where to send questions or comments about the dataset:** | |
| - [GitHub Repo](https://github.com/IBM/otter-knowledge) | |
| **Models trained on Otter UBC** | |
| - [ibm/otter_dude_classifier](https://huggingface.co/ibm/otter_dude_classifier) | |
| - [ibm/otter_dude_distmult](https://huggingface.co/ibm/otter_dude_distmult) | |
| - [ibm/otter_dude_transe](https://huggingface.co/ibm/otter_dude_transe) |