Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model

Research article (Toxicology Letters, 2016) · cited 23× · AI/ML
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Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model

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Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model. Retrieved May 24, 2026, from https://4ort.xyz/entity/synthetic-cannabinoids-in-silico-prediction-of-the-cannabinoid-receptor-1-affinity-by-a-quantitative-structure-activity-
MLA “Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/synthetic-cannabinoids-in-silico-prediction-of-the-cannabinoid-receptor-1-affinity-by-a-quantitative-structure-activity-.
BibTeX @misc{4ortxyz_synthetic-cannabinoids-in-silico-prediction-of-the-cannabinoid-receptor-1-affinity-by-a-quantitative-structure-activity-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model}}, year = {2026}, url = {https://4ort.xyz/entity/synthetic-cannabinoids-in-silico-prediction-of-the-cannabinoid-receptor-1-affinity-by-a-quantitative-structure-activity-}, note = {Accessed: 2026-05-24}}
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