| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/jcheminf/SydowMDV19 |
| P6179 | Dimensions Publication ID | 1113301019 |
| P356 | DOI | 10.1186/S13321-019-0351-X |
| P932 | PMC publication ID | 6454689 |
| P698 | PubMed publication ID | 30963287 |
| P50 | author | Andrea Morger | Q86834181 |
| Maximilian Driller | Q92959286 | ||
| Andrea Volkamer | Q50731316 | ||
| Dominique Sydow | Q59668391 | ||
| P2093 | author name string | Maximilian Driller | |
| Andrea Morger | |||
| P2860 | cites work | Matplotlib: A 2D Graphics Environment | Q17278583 |
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| Editorial: Artificial Neural Networks as Models of Neural Information Processing | Q47383057 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | scikit-learn | Q1026367 |
| NumPy | Q197520 | ||
| Jupyter notebook file | Q70357595 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | open-source software | Q1130645 |
| RDKit | Q54152347 | ||
| P304 | page(s) | 29 | |
| P577 | publication date | 2019-04-08 | |
| P1433 | published in | Journal of Cheminformatics | Q6294930 |
| P1476 | title | TeachOpenCADD: a teaching platform for computer-aided drug design using open source packages and data | |
| P478 | volume | 11 |
| Q115009487 | An open-source molecular builder and free energy preparation workflow |
| Q115010874 | Molecular Docking with Open Access Software: Development of an Online Laboratory Handbook and Remote Workflow for Chemistry and Pharmacy Master’s Students to Undertake Computer-Aided Drug Design |
| Q113274660 | TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research |
| Q90710291 | TeachOpenCADD-KNIME: A Teaching Platform for Computer-Aided Drug Design Using KNIME Workflows |
| Q111900256 | Teaching of Biopharmaceutics in a Drug Design Course: Use of GastroPlus as Educational Software |
| Q94335553 | Towards reproducible computational drug discovery |
| Q114061419 | Using Jupyter Notebooks for re-training machine learning models |
| Q90428394 | Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace |
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