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Machine learning vs. field 3D-QSAR models for serotonin 2A receptor psychoactive substances identification
Serotonergic psychedelics, substances exerting their effects primarily through the serotonin 2A receptor (5HT2AR), continue to comprise a substantial portion of reported new psychoactive substances (NPS). In this paper five quantitative structure–activity relationship (QSAR) models for predicting th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8697832/ https://www.ncbi.nlm.nih.gov/pubmed/35424006 http://dx.doi.org/10.1039/d1ra01335a |