Model: oabed/Curated_ImmtorLig_DB_H2O_AutoML_Models
Author: oabed
Tags: chemistry, bioinformatics, drug-discovery, immune-receptors, en, license:cc-by-4.0, region:us
Card metadata: language: en
license: cc-by-4.0
size_categories: medium
pretty_name: ImmtorLig_DB Curation and Machine Learning
tags: chemistry, bioinformatics, drug-discovery, immune-receptors
dataset_summary: Curation and machine learning modeling of small molecule interactions with immune receptors based on the ImmtorLig_DB dataset.
dataset_description: The dataset includes 5000 small molecules curated for their interactions with immune receptors, providing insights for drug discovery processes.
acknowledgements: The dataset was curated and processed by Omar Abed based on original research by Deepyan Chatterjee et al.
repo: https://github.com/yourusername/yourrepository
citation_bibtex: @article{chatterjee2019immtorlig_db,
  title={ImmtorLig_DB: repertoire of virtually screened small molecules against immune receptors to bolster host immunity},
  author={Chatterjee, Deepyan and Kaur, Gurkirat and Muradia, Shilpa and Singh, Balvinder and Agrewala, JN},
  journal={Scientific reports},
  volume={9},
  number={1},
  pages={1--12},
  year={2019},
  publisher={Nature Publishing Group}
}

citation_apa: Chatterjee, D., Kaur, G., Muradia, S., Singh, B., & Agrewala, J. N. (2019). ImmtorLig_DB: repertoire of virtually screened small molecules against immune receptors to bolster host immunity. Scientific Reports, 9, 1-12.
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Created: 2025-04-23 06:36:10