Druggability Assessment in TRAPP using Machine Learning Approaches

Description

This archive contains data sets and software codes used for building ML models reported in the paper "Druggability Assessment in TRAPP using Machine Learning Approaches"; J. Chem. Inf. Model. 2020, 60, 3, 1685–1699;  https://doi.org/10.1021/acs.jcim.9b01185

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-3667633

Tags

  • protein-binding-pocket
  • druggability-prediction
  • protein-druggability

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