A MACHINE LEARNING-BASED QUANTITATIVE STRUCTURE- ACTIVITY RELATIONSHIP STUDY FOR THE PSYCHOMIMETIC ACTIVITY OF PHENETHYLAMINE DERIVATES
Abstract
A novel model is developed for the prediction of the psychotomimetic activity of the substituted phenethylamines as psychedelic drugs. The structure-activity analysis was performed using a quantitative structure-activity relationship (QSAR) method where molecular structures of the desired phenethylamine derivatives used and their activities.
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Published
2022-09-27
How to Cite
Jamshid Kayumov, Abdushukur G’ofurov, Durbek Usmanov, & Bakhtiyor Rasulev. (2022). A MACHINE LEARNING-BASED QUANTITATIVE STRUCTURE- ACTIVITY RELATIONSHIP STUDY FOR THE PSYCHOMIMETIC ACTIVITY OF PHENETHYLAMINE DERIVATES . Journal of New Century Innovations, 13(2), 174–175. Retrieved from https://newjournal.org/new/article/view/396
