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Density Functional Theory (DFT)-Aided Structure Elucidation of Linear Diterpenes from the Irish Brown Seaweed Bifurcaria bifurcata

  • Vangelis Smyrniotopoulos
  • , Daria Firsova
  • , Howard Fearnhead
  • , Laura Grauso
  • , Alfonso Mangoni
  • , Deniz Tasdemir

    Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

    10 Citations (Scopus)

    Abstract

    Brown alga Bifurcaria bifurcata is an extraordinarily rich source of linear (acylic) diterpenes with enormous structural diversity. As part of our interest into secondary metabolites of the Irish seaweeds, here we report four new acyclic diterpenes (1–4) and seven known terpenoids (5–11) from the CHCl3 extract of B. bifurcata. The planar structures of the new metabolites were elucidated by means of 1D and 2D NMR, HRMS, and FT-IR spectroscopy. Since linear diterpenes are highly flexible compounds, the assignment of their stereochemistry by conventional methods, e.g., NOESY NMR, is difficult. Therefore, we employed extensive quantum-mechanical prediction of NMR chemical shifts and optical rotation analyses to identify the relative and absolute configurations of the new compounds 1–4. Several compounds moderately inhibited the human breast cancer cell line (MDA-MB-231) with IC50 values ranging from 10.0 to 33.5 µg/mL. This study not only demonstrates the vast capacity of the Irish B. bifurcata to produce highly oxygenated linear diterpenoids, but also highlights the potential of new methodologies for assignment of their stereogenic centers.

    Original languageEnglish
    Article number42
    JournalMarine Drugs
    Volume19
    Issue number1
    DOIs
    Publication statusPublished - Jan 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • anticancer activity
    • Bifurcaria bifurcata
    • brown alga
    • DFT
    • linear diterpene
    • seaweed

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