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

Toxicology Letters
Alexander PaulkeStefan W Toennes

Abstract

The number of new synthetic psychoactive compounds increase steadily. Among the group of these psychoactive compounds, the synthetic cannabinoids (SCBs) are most popular and serve as a substitute of herbal cannabis. More than 600 of these substances already exist. For some SCBs the in vitro cannabinoid receptor 1 (CB1) affinity is known, but for the majority it is unknown. A quantitative structure-activity relationship (QSAR) model was developed, which allows the determination of the SCBs affinity to CB1 (expressed as binding constant (Ki)) without reference substances. The chemically advance template search descriptor was used for vector representation of the compound structures. The similarity between two molecules was calculated using the Feature-Pair Distribution Similarity. The Ki values were calculated using the Inverse Distance Weighting method. The prediction model was validated using a cross validation procedure. The predicted Ki values of some new SCBs were in a range between 20 (considerably higher affinity to CB1 than THC) to 468 (considerably lower affinity to CB1 than THC). The present QSAR model can serve as a simple, fast and cheap tool to get a first hint of the biological activity of new synthetic cannabinoids...Continue Reading

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Citations

Nov 20, 2016·Clinical Pharmacology and Therapeutics·R Le BoisselierD Debruyne
Sep 17, 2019·Clinical Toxicology : the Official Journal of the American Academy of Clinical Toxicology and European Association of Poisons Centres and Clinical Toxicologists·A J PottsS L Hill
Jul 30, 2020·International Journal of Molecular Sciences·Mikołaj MizeraJudyta Cielecka-Piontek
Dec 30, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Wonyoung LeeHyun-Ju Park

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