An Integrated ANN-PRA/DP4+ Tandem Computational Approach Contributing to the Ordering of the Heliannuol Family

Abstract

Heliannuols are a unique class of sesquiterpenes isolated mostly from Helianthus annuus, commonly known as sunflower. The interesting allelopathic properties, combined with their unprecedented carbon skeletons, have drawn wide attention to phytochemistry and synthetic groups. So far, 14 heliannuols (heliannuols A–N) have been described in the literature, although some of them have not yet been validated by total synthesis. Moreover, the structural proposal of some compounds was based on the similarity of NMR data reported for previously isolated analogues (which in many instances turned out to be incorrect), coupled with little or no stereochemical analysis. Consequently, the structural reassignment is a recurring theme in heliannuol’s family. Through a rigorous and comprehensive quantum chemical simulation of NMR parameters, encompassing an integrated ANN-PRA/DP4+ tandem approach, we intended to advance unexplored directions regarding the structure of the entire heliannuol family. Furthermore, we found that the size of the fused ring significantly influences the signals corresponding to the aromatic ring, making this discovery an excellent diagnostic tool for quickly determining the core structure of these compounds.