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Data underlying the article: 3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Marina Gorostiola González, Remco L. van den Broek, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, +1 more
0citations -
Data underlying the article: 3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Marina Gorostiola González, Remco L. van den Broek, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, +1 more
0citations -
Data underlying the article: 3DDPDs: Describing protein dynamics for proteochemometric bioactivity prediction. A case for (mutant) G protein-coupled receptors2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Marina Gorostiola González, Remco L. van den Broek, Magdalini Chatzopoulou, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, +1 more
0citations -
Accompanying data - UnCorrupt SMILES: a novel approach to de novo design2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Linde Schoenmaker, Olivier J.M. Béquignong, Willem Jespers, Gerard J. P. van Westen
0citations -
Accompanying data - UnCorrupt SMILES: a novel approach to de novo design2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Linde Schoenmaker, Olivier J.M. Béquignong, Willem Jespers, Gerard J. P. van Westen
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations
11 results