Predicting affinity and potency of new psychoactive substances at cannabinoid 1 receptor with explainable artificial intelligence.
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| Title: | Predicting affinity and potency of new psychoactive substances at cannabinoid 1 receptor with explainable artificial intelligence. |
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| Authors: | Schöning V; Clinical Pharmacology and Toxicology, Department of Internal Medicine, University Hospital Bern, Bern, Switzerland., Alluisetti G; Institute of Forensic Medicine Bern, Forensic Toxicology and Chemistry, University of Bern, Bern, Switzerland.; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland., Grafinger KE; Institute of Forensic Medicine Bern, Forensic Toxicology and Chemistry, University of Bern, Bern, Switzerland., Pasin D; Hyperion Data, Griffith, NSW, Australia., Stove CP; Laboratory of Toxicology, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium., Gréen H; Division of Clinical Chemistry and Pharmacology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden., Weinmann W; Institute of Forensic Medicine Bern, Forensic Toxicology and Chemistry, University of Bern, Bern, Switzerland., Hammann F; Clinical Pharmacology and Toxicology, Department of Internal Medicine, University Hospital Bern, Bern, Switzerland. |
| Source: | Frontiers in pharmacology [Front Pharmacol] 2026 May 20; Vol. 17, pp. 1815814. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media] Country of Publication: Switzerland NLM ID: 101548923 Publication Model: eCollection Cited Medium: Print ISSN: 1663-9812 (Print) Linking ISSN: 16639812 NLM ISO Abbreviation: Front Pharmacol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1663-9812 |
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| DOI: | 10.3389/fphar.2026.1815814 |
