Andreas Bender
Affiliations: | 2005 | Department of Chemistry | University of Cambridge, Cambridge, England, United Kingdom |
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Sign in to add trainee| Gerard JP van Westen | grad student | 2007-2012 | |
| Krishna C. Bulusu | post-doc | Cambridge (Computational Biology Tree) |
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Publications
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| Seal S, Spjuth O, Hosseini-Gerami L, et al. (2024) Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank. Journal of Chemical Information and Modeling |
| Seal S, Spjuth O, Hosseini-Gerami L, et al. (2023) Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA DICTrank. Biorxiv : the Preprint Server For Biology |
| Liu A, Seal S, Yang H, et al. (2023) Using chemical and biological data to predict drug toxicity. Slas Discovery : Advancing Life Sciences R & D |
| García-Ortegón M, Simm GNC, Tripp AJ, et al. (2022) DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design. Journal of Chemical Information and Modeling. 62: 3486-3502 |
| Trapotsi MA, Mouchet E, Williams G, et al. (2022) Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature. Acs Chemical Biology. 17: 1733-1744 |
| Thomas M, Smith RT, O'Boyle NM, et al. (2021) Comparison of structure- and ligand-based scoring functions for deep generative models: a GPCR case study. Journal of Cheminformatics. 13: 39 |
| Trapotsi MA, Mervin LH, Afzal AM, et al. (2021) Comparison of Chemical Structure and Cell Morphology Information for Multitask Bioactivity Predictions. Journal of Chemical Information and Modeling |
| Kalash L, Winfield I, Safitri D, et al. (2021) Structure-based identification of dual ligands at the AR and PDE10A with anti-proliferative effects in lung cancer cell-lines. Journal of Cheminformatics. 13: 17 |
| Cortés-Ciriano I, Škuta C, Bender A, et al. (2020) QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction. Journal of Cheminformatics. 12: 41 |
| Pruteanu LL, Kopanitsa L, Módos D, et al. (2020) Transcriptomics predicts compound synergy in drug and natural product treated glioblastoma cells. Plos One. 15: e0239551 |