Brief overview of recently reported misassigned natural products and their in silico revisions enabled by DU8ML, a machine learning-augmented DFT computational NMR method
Abstract
Covering: 2018 to 2025
This Highlight article describes a personal selection of recent misassigned structures of natural products and their revision with the aid of DU8ML, a machine learning-augmented DFT computational method for fast and accurate calculations of solution NMR chemical shifts and spin–spin coupling constants.
- This article is part of the themed collection: Natural Product Reports- Emerging Technologies for Natural Products Discovery

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