In Silico Investigations into the Selectivity of Psychoactive and New Psychoactive Substances in Monoamine Transporters
- PMID: 36340072
- PMCID: PMC9631908
- DOI: 10.1021/acsomega.2c02714
In Silico Investigations into the Selectivity of Psychoactive and New Psychoactive Substances in Monoamine Transporters
Abstract
New psychoactive substances (NPS) are a group of compounds that mimic the effects of illicit substances. A range of NPS have been shown to interact with the three main classes of monoamine transporters (DAT, NET, and SERT) to differing extents, but it is unclear why these differences arise. To aid in understanding the differences in affinity between the classes of monoamine transporters, several in silico experiments were conducted. Docking experiments showed there was no direct correlation between a range of scoring functions and experimental activity, but Spearman ranking analysis showed a significant correlation (α = 0.1) for DAT, with the affinity ΔG (0.42), αHB (0.40), GoldScore (0.40), and PLP (0.41) scoring functions, and for DAT (0.38) and SERT (0.40) using a consensus scoring approach. Qualitative structure-activity relationship (QSAR) experiments resulted in the generation of robust and predictive three-descriptor models for SERT (r 2 = 0.87, q 2 = 0.8, and test set r 2 = 0.74) and DAT (r 2 = 0.68, q 2 = 0.51, test set r 2 = 0.63). Both QSAR models described similar characteristics for binding, i.e., rigid hydrophobic molecules with a biogenic amine moiety, and were not sufficient to facilitate a deeper understanding of differences in affinity between the monoamine transporters. This contextualizes the observed promiscuity for NPS between the isoforms and highlights the difficulty in the design and development of compounds that are isoform-selective.
© 2022 The Authors. Published by American Chemical Society.
Conflict of interest statement
The authors declare no competing financial interest.
Figures



Similar articles
-
Measuring inhibition of monoamine reuptake transporters by new psychoactive substances (NPS) in real-time using a high-throughput, fluorescence-based assay.Toxicol In Vitro. 2017 Dec;45(Pt 1):60-71. doi: 10.1016/j.tiv.2017.05.010. Epub 2017 May 13. Toxicol In Vitro. 2017. PMID: 28506818
-
Comparison of the monoamine transporters from human and mouse in their sensitivities to psychostimulant drugs.BMC Pharmacol. 2006 Mar 3;6:6. doi: 10.1186/1471-2210-6-6. BMC Pharmacol. 2006. PMID: 16515684 Free PMC article.
-
Monoamine transporter and receptor interaction profiles of novel psychoactive substances: para-halogenated amphetamines and pyrovalerone cathinones.Eur Neuropsychopharmacol. 2015 Mar;25(3):365-76. doi: 10.1016/j.euroneuro.2014.12.012. Epub 2015 Jan 5. Eur Neuropsychopharmacol. 2015. PMID: 25624004
-
Using Ca2+-channel biosensors to profile amphetamines and cathinones at monoamine transporters: electro-engineering cells to detect potential new psychoactive substances.Psychopharmacology (Berl). 2019 Mar;236(3):973-988. doi: 10.1007/s00213-018-5103-5. Epub 2018 Nov 17. Psychopharmacology (Berl). 2019. PMID: 30448989 Free PMC article. Review.
-
[Pharmacology of monoamine neurotransmitter transporters].Nihon Yakurigaku Zasshi. 2002 Nov;120(5):315-26. doi: 10.1254/fpj.120.315. Nihon Yakurigaku Zasshi. 2002. PMID: 12491807 Review. Japanese.
Cited by
-
Machine Learning Tool for New Selective Serotonin and Serotonin-Norepinephrine Reuptake Inhibitors.Molecules. 2025 Jan 31;30(3):637. doi: 10.3390/molecules30030637. Molecules. 2025. PMID: 39942741 Free PMC article.
References
-
- Richelson E. Interactions of Antidepressants With Neurotransmitter Transporters and Receptors and Their Clinical Relevance. J. Clin. Psychiatry 2003, 64 (Suppl 13), 5–12. - PubMed
LinkOut - more resources
Full Text Sources
Research Materials