dimer
Datasets
All datasets matching “dimer”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.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.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.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.Dimer50dimers_orca_out
