CoolFace
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dimer

colabfit /Co_dimer_JPCA_2022_train Cite this dataset Ren, S., Fonseca, E., Perry, W., Cheng, H., Zhang, X., and Hennig, R. Co dimer JPCA 2022 train. ColabFit, 2023. https://doi.org/10.60732/07315f04 This dataset has been curated and formatted for the ColabFit Exchange This dataset is also available on the ColabFit Exchange: https://materials.colabfit.org/id/DS_doo9ltj3vsnu_0 Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Co_dimer_JPCA_2022_train.tabular1K<n<10K0 likes38 downloads10mo agoHugging Facemliliu /dime-recipients DIME Recipients Database with Campaign Finance Ideology Scores Dataset Description This dataset contains comprehensive information about political recipients (candidates and committees) in the United States from 1980-2024, including their campaign finance-based ideology scores from the Database on Ideology, Money in Politics, and Elections (DIME). Key Features 479,502 recipients across 1980-2024 Campaign Finance (CF) ideology scores for ideological positioning… See the full description on the dataset page: https://huggingface.co/datasets/mliliu/dime-recipients.tabulartabular-classification100K<n<1M0 likes36 downloads1y agoHugging Facecolabfit /Co_dimer_JPCA_2022 Cite this dataset Ren, S., Fonseca, E., Perry, W., Cheng, H., Zhang, X., and Hennig, R. Co dimer JPCA 2022. ColabFit, 2023. https://doi.org/10.60732/16b96cbc This dataset has been curated and formatted for the ColabFit Exchange This dataset is also available on the ColabFit Exchange: https://materials.colabfit.org/id/DS_uwqpfuuj6utw_0 Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/Co_dimer_JPCA_2022.tabular1K<n<10K0 likes17 downloads10mo agoHugging Facedynotx /synthetic_dimers Dyno Synthetic Dimer Dataset The datasets in this repo were used to train Dyno Psi-0 and Dyno Psi-1. This dataset was curated using predicted protein structures from the AlphaFold Protein Structure Database, subset to entries from AFDB50. Dimers were curated by using domain annotations from the TED domain annotations provided by the CATH database to identify domains within the same monomer structure that share an interface. These were further clustered using Foldseek to produce… See the full description on the dataset page: https://huggingface.co/datasets/dynotx/synthetic_dimers.text1M<n<10M1 likes16 downloads6mo agoHugging FaceLuozhan /Dimer500 likes13 downloads6mo agoHugging Faceyzchensg /dimers_orca_out0 likes3 downloads1y agoHugging Face