Regression-Classification Algorithm for Screening of Antiradical Activity of Flavonoids and the Related Structures
Russian Journal of General Chemistry, ISSN: 1608-3350, Vol: 92, Issue: 8, Page: 1408-1419
2022
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Abstract: A regression-classification algorithm for screening the antiradical activity of flavonoids and the related structures in the media with physiological pH and a specialized kinetic reaction scheme have been proposed. The algorithm is based on the combination of descriptor–activity single-factor linear regressions. The high predictive ability of the presented model has been confirmed by the low relative error (not exceeding 15%) in approximating the reactions rate constants of the control group of substances with nitrogen- and oxygen-centered radicals.
Bibliographic Details
Pleiades Publishing Ltd
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